Here are the solutions to both tasks in C programming:
Task 1: Printing the series of numbers
#include <stdio.h>
int main() {
int n;
printf("Enter a number: ");
scanf("%d", &n);
for (int i = 1; i <= n; i++) {
printf("%d ", i * n);
}
return 0;
}
Task 2: Calculating the cosine using the Taylor Series
#include <stdio.h>
#include <math.h>
double factorial(int n) {
if (n == 0) {
return 1;
} else {
return n * factorial(n - 1);
}
}
int main() {
double angle, radians, cosx = 1.0, term;
int n = 30;
printf("Enter an angle in degrees: ");
scanf("%lf", &angle);
radians = angle * M_PI / 180.0;
for (int i = 1; i <= n; i++) {
term = pow(radians, 2 * i) / factorial(2 * i);
if (i % 2 == 0) {
cosx += term;
} else {
cosx -= term;
}
}
printf("cos(%.2lf) = %.4lf\n", angle, cosx);
return 0;
}
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Choose the incorrect statements and explain the reason. Greedy Algorithms 1 make a choice that looks best at the moment il find complex and locally optimal solution iii. easy to program and get the result quickly iv. sometimes lead to global optimal solutions v. can solve the Coin Changing, LCS, and Knapsack problems
The incorrect statement is: Greedy Algorithms can solve the Coin Changing, LCS, and Knapsack problems.
Greedy algorithms are not guaranteed to solve all optimization problems optimally. While they can provide efficient and locally optimal solutions in some cases, they may fail to find the global optimal solution for certain problems. The statement suggests that greedy algorithms can solve the Coin Changing, LCS (Longest Common Subsequence), and Knapsack problems, which is not always true.
Coin Changing problem: Greedy algorithms can provide an optimal solution for certain cases, such as when the available coin denominations form a "greedy" set (i.e., each coin's value is a multiple of the next coin's value). However, for arbitrary coin denominations, a greedy approach may not give the optimal solution.
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Please write a program in c++ and use arrays. This program should take a user input
Problem: Mark and Jane are very happy after having their first child. Their son loves toys, so Mark wants to buy some. There are a number of different toys lying in front of him, tagged with their prices. Mark has only a certain amount to spend, and he wants to maximize the number of toys he buys with this money. Given a list of toy prices and an amount to spend, determine the maximum number of toys he can buy. Note each toy can be purchased only once.
Output should be identical to this:
Input: Enter the dollar amount Mark can spend: 50
Enter the number of items: 7
Enter the toy prices: 1 12 5 111 200 1000 10
Output: Maximum number of items Mark can buy: 4
Here's a C++ program that uses arrays to solve the problem:#include <iostream> #include <algorithm>. using namespace std; int main() {int maxAmount, numItems;
cout << "Enter the dollar amount Mark can spend: ";cin >> maxAmount;
cout << "Enter the number of items: ";cin >> numItems; int toyPrices[numItems]; cout << "Enter the toy prices: "; for (int i = 0; i < numItems; i++) { cin >> toyPrices[i];} sort(toyPrices, toyPrices + numItems); // Sort the toy prices in ascending order; int totalItems = 0;int totalPrice = 0; for (int i = 0; i < numItems; i++) { if (totalPrice + toyPrices[i] <= maxAmount) { totalItems++; totalPrice += toyPrices[i]; } else { break; // If the next toy price exceeds the remaining budget, stop buying toys }
}cout << "Maximum number of items Mark can buy: " << totalItems << endl return 0; }In this program, the user is prompted to enter the dollar amount Mark can spend (maxAmount) and the number of items (numItems). Then, the user is asked to enter the prices of each toy. The program stores the toy prices in an array toyPrices.
The sort function from the <algorithm> library is used to sort the toy prices in ascending order. The program then iterates through the sorted toy prices and checks if adding the current price to the totalPrice will exceed the maxAmount. If not, it increments totalItems and updates totalPrice. Finally, the program outputs the maximum number of items Mark can buy based on the budget and toy prices.
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in anroid studio java i want 2 jason file with student detalils amd department detalils ,show student details in the first fragment in this fragment we have a button that sends you to the second fragment which has the department detalils and in the seconed fragment there is a button that sends you back to the first fragment
You'll need to create the necessary UI components, parse the JSON files, populate the fragment layouts with data, and handle the navigation between fragments using FragmentTransaction.
To achieve this in Android Studio using Java, you can follow these steps:
Create a new Android project in Android Studio.
Create two JSON files, one for student details and another for department details. You can place these files in the "assets" folder of your Android project.
Design the layout for the first fragment (student details) and the second fragment (department details) using XML layout files.
Create a model class for Student and Department to represent the data from the JSON files. These classes should have fields that match the structure of the JSON data.
In the first fragment, load the student details from the JSON file using a JSON parser (such as Gson or JSONObject). Parse the JSON data into a list of Student objects.
Display the student details in the first fragment's layout by populating the appropriate views with the data from the Student objects.
Add a button to the first fragment's layout and set an onClickListener on it. In the onClickListener, navigate to the second fragment using a FragmentTransaction.
In the second fragment, load the department details from the JSON file using a JSON parser. Parse the JSON data into a list of Department objects.
Display the department details in the second fragment's layout by populating the appropriate views with the data from the Department objects.
Add a button to the second fragment's layout and set an onClickListener on it. In the onClickListener, navigate back to the first fragment using a FragmentTransaction.
Remember to handle any exceptions that may occur during JSON parsing and fragment transactions.
Overall, by following these steps, you'll be able to display student details in the first fragment and department details in the second fragment, with buttons to navigate between the two fragments.
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Part 1 Write a class named TestScores. The class constructor should accept an array of test scores as argument. The class should have a public method called averageScoreto return the average of the test scores. If any test score in the array is negative or greater than 100, the class should throw an IllegalArgumentException. Part 2 Demonstrate the TestScores class in a program by creating a TestScoresDemo class in the same package. The program should ask the user to input the number of test scores to be counted, and then ask the user to input each individual test score. It should then make an array of those scores. It should then create a TestScores object, and pass the above array to the constructor of TestScores. It should then call the averageScore() method of the TestScores object to get the average score. It should then print the average of the scores. If the main() method catches an IllegalArgumentException exception, it should print "Test scores must have a value less than 100 and greater than 0." and terminate the program. Sample Run 1 Enter-number-of-test scores:52 Enter-test score 1: 702 Enter test score 2: 652 Enter-test score 3: 94 Enter-test score 4: 550 Enter-test score 5: 90 74.8 Sample Run 2 Enter number of test scores:52 Enter test score.1: 70 Enter-test score 2: 65 Enter test score 3: 1234 Enter-test score 4:55 Enter-test score-5: 90 Test scores must have a value less than 100 and greater than 0.
The program will calculate and display the average score if all the scores are within the valid range. If an invalid score is entered, it will print the error message as specified in the sample run.
Here's the solution for the requested TestScores and TestScoresDemo classes:
// TestScores.java
public class TestScores {
private int[] scores;
public TestScores(int[] scores) {
this.scores = scores;
}
public double averageScore() {
int sum = 0;
for (int score : scores) {
if (score < 0 || score > 100) {
throw new IllegalArgumentException("Test scores must have a value less than 100 and greater than 0.");
}
sum += score;
}
return (double) sum / scores.length;
}
}
java
Copy code
// TestScoresDemo.java
import java.util.Scanner;
public class TestScoresDemo {
public static void main(String[] args) {
Scanner scanner = new Scanner(System.in);
System.out.print("Enter the number of test scores: ");
int count = scanner.nextInt();
int[] scores = new int[count];
for (int i = 0; i < count; i++) {
System.out.print("Enter test score " + (i + 1) + ": ");
scores[i] = scanner.nextInt();
}
try {
TestScores testScores = new TestScores(scores);
double average = testScores.averageScore();
System.out.println("Average score: " + average);
} catch (IllegalArgumentException e) {
System.out.println("Test scores must have a value less than 100 and greater than 0.");
}
}
}
In the TestScores class, we accept an array of test scores in the constructor. The averageScore() method calculates the average of the test scores and throws an IllegalArgumentException if any score is negative or greater than 100.
In the TestScoresDemo class, we prompt the user to enter the number of test scores and each individual test score. We create an array of those scores and pass it to the TestScores constructor. We then call the averageScore() method and handle the IllegalArgumentException if it occurs.
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Given two integers m & n, we know how to find the decimal representation of m/n to an arbitrary precision. For example, we know that 12345+54321 = 0.227260175622687358480145799966863643894626387584911912520... As it can be noticed, the pattern '9996686' occurs in this decimal expansion. Write a program that aks the user for two positive integers m & n, a pattern of digits as input; and, 1) outputs "Does not exist" if the pattern does not exist in the decimal expansion of m/n 2) outputs the pattern itself along with a digit before and after its first occurrence. Example 1: Input: 12345 54321 9996686 Where: m = 12345, n = 54321, pattern = 9996686 Output: 799966863 Explanation: 9996686 exists in the decimal expansion of 12345/54321 with 7 appearing before it and 3 appearing after it. 12345/54321 = 0.2272601756226873584801457999668636438... Constraints: The pattern will not be longer than 20 digits. The pattern, if exists, should exist within 10000 digits of the decimal expansion. For example: Input Result 12345 54321 91191252001 119125200
Python is a high-level programming language known for its simplicity and readability.
Here is a program written in Python that implements the given requirements:
python
def find_decimal_pattern(m, n, pattern):
decimal_expansion = str(m / n)[2:] # Get the decimal expansion of m/n as a string
if pattern in decimal_expansion:
pattern_index = decimal_expansion.index(pattern) # Find the index of the pattern in the decimal expansion
pattern_length = len(pattern)
if pattern_index > 0:
before_pattern = decimal_expansion[pattern_index - 1] # Get the digit before the pattern
else:
before_pattern = None
if pattern_index + pattern_length < len(decimal_expansion):
after_pattern = decimal_expansion[pattern_index + pattern_length] # Get the digit after the pattern
else:
after_pattern = None
return f"{pattern} exists in the decimal expansion of {m}/{n} with {before_pattern} appearing before it and {after_pattern} appearing after it."
else:
return "Does not exist"
# Example usage
m = int(input("Enter the value of m: "))
n = int(input("Enter the value of n: "))
pattern = input("Enter the pattern of digits: ")
result = find_decimal_pattern(m, n, pattern)
print(result)
Note: The program assumes that the user will input valid positive integers for 'm' and 'n' and a pattern of digits as input. Proper input validation is not implemented in this program.
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Consider inserting the following new customer into the MongoDB customers collection: cdb.customers.insert_one( {"cno": 7, "name": "C. Li", "street": "E Peltason", "city": "Irvine, CA", "zipcode": 92617, "rating": 400} ) Compare the structure of this JSON object to the existing objects in the collection. Will this insert operation succeed or fail? a. this operation will succeed b. this operation will fail – customers
{"cno": 1, "name": "M. Franklin", "addr":{"street":"S Ellis Ave","city":"Chicago, IL","zipcode":"60637"}} {"cno":2,"name":"M. Seltzer", "addr":{"street":"Mass Ave","city":"Cambridge, MA","zipcode":"02138"},"rating":750} {"cno":3,"name":"C. Freytag", "addr":{"street":"Unter den Linden","city":"Berlin, Germany"},"rating":600} {"cno": 4, "name": "B. Liskov", "addr":{"street":"Mass Ave","city":"Cambridge, MA","zipcode":"02139"},"rating":650} {"cno":5,"name":"A. Jones", "addr":{"street":"Forbes Ave","city":"Pittsburgh, PA","zipcode":"15213"},"rating":750} {"cno":6,"name":"D. DeWitt", "addr":{"street":"Mass Ave","city":"Cambridge, MA","zipcode":"02139"},"rating":775} -- orders {"ordno": 1001, "cno": 2, "bought":"2022-03-15","shipped" : "2022-03-18", "items" : [{"ino":123,"qty":50,"price":100.00}, {"ino": 456,"qty":90,"price":10.00}]} {"ordno": 1002, "cno": 2, "bought":"2022-04-29", "items" : [{"ino":123,"qty":20,"price":110.00}]} {"ordno": 1003,"cno":3,"bought":"2022-01-01", "items" : [{"ino": 789,"qty":120,"price":25.00}, {"ino":420,"qty":1,"price":1500.00}]} {"ordno": 1004, "cno": 4, "bought":"2021-12-30","shipped":"2021-12-31", "items" : [{"ino": 789,"qty":5,"price":30.00}, {"ino":864,"qty":2,"price":75.00}, {"ino":123,"qty":1,"price":120.00}]}
The insert operation will fail because the structure of the new JSON object does not match the structure of the existing objects in the customers collection.
The existing objects in the collection have an "addr" field nested within the "customers" field, while the new object does not have this nested structure.
The existing objects in the collection have the following structure:
Field: "cno" (customer number)
Field: "name" (customer name)
Nested Field: "addr" (address) with sub-fields "street", "city", and "zipcode"
Field: "rating" (customer rating)
On the other hand, the new JSON object being inserted has the following structure:
Field: "cno" (customer number)
Field: "name" (customer name)
Field: "street" (customer street address)
Field: "city" (customer city)
Field: "zipcode" (customer zipcode)
Field: "rating" (customer rating)
Since the structure of the new object does not match the structure of the existing objects in the collection, the insert operation will fail. To successfully insert the new customer, the structure of the JSON object needs to match the existing structure, including the use of nested fields for the address information.
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Consider the following dataset drawn from AUT student services: M <- matrix(c(10,2,11,7),2,2) dimnames (M) <- list (OS=c("windows", "mac"), major=c("science", "arts")) M ## ## Os ## ## major science arts windows 10 11 mac 2 7 we suspect arts students are more likely to use a mac than science students. State your null clearly r* State the precise definition of p-value • state what "more extreme" means here • use fisher.test(), calculate your pvalue and interpret
The R code performs a hypothesis test to determine if arts students are more likely to use a Mac than science students. The null hypothesis is that there is no significant difference in the proportion of Mac users between majors.
Null hypothesis (H0): There is no significant difference in the proportion of arts students using a Mac compared to science students.
Alternative hypothesis (Ha): Arts students are more likely to use a Mac than science students.
The p-value is the probability of obtaining a test statistic as extreme or more extreme than the observed test statistic, assuming the null hypothesis is true.
"More extreme" in this context means the probability of observing a test statistic as large or larger than the observed test statistic, assuming the null hypothesis is true. For a one-tailed test, the p-value is the probability of obtaining a test statistic as large or larger than the observed test statistic. For a two-tailed test, the p-value is the probability of obtaining a test statistic as extreme or more extreme than the observed test statistic in either direction.
To calculate the p-value using `fisher.test()`, we can use the following code:
```r
# Extract the data for Mac usage by major
mac_data <- M[, "mac"]
arts_mac <- mac_data["arts"]
sci_mac <- mac_data["science"]
# Perform Fisher's exact test
fisher_result <- fisher.test(mac_data)
p_value <- fisher_result$p.value
# Print the p-value and interpretation
cat("P-value =", p_value, "\n")
if (p_value < 0.05) {
cat("Reject the null hypothesis. There is evidence that arts students are more likely to use a Mac than science students.\n")
} else {
cat("Fail to reject the null hypothesis. There is insufficient evidence to conclude that arts students are more likely to use a Mac than science students.\n")
}
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Assuming narray is an int array, what type of statement is this? auto [v1, v2, v3] = narray: A. multiple array copy B. structured binding declaration C. automatic array initialization D. alias assignment E. None of these
B. structured binding declaration. The statement auto [v1, v2, v3] = narray is a structured binding declaration.
It allows you to bind multiple elements of an array or tuple to individual variables. In this case, the elements of the narray are being assigned to variables v1, v2, and v3.
The auto keyword is used to deduce the type of the variables v1, v2, and v3 from the type of the elements in the narray. This feature was introduced in C++17 to simplify working with structured data.
Option A (multiple array copy) refers to copying the elements of one array to another, which is not happening in this statement.
Option C (automatic array initialization) refers to initializing an array with values without explicitly specifying the size, which is not the case here.
Option D (alias assignment) refers to creating an alias for a variable using the = assignment operator, which is not happening here.
Therefore, the correct answer is B. structured binding declaration.
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Match the terms to the corresponding definition below.
1. Visual components that the user sees when running an app
2. Components that wait for events outside the app to occur
3. Component that makes aspects of an app available to other apps
4. Activities with no user interface
A. Activity
B. Regular App
C. Broadcast Receiver
D. Broadcast Sender
E. Content Receiver
F. Content Provider
G. Services
H. Background Service
The terms correspond to different components in app development. Regular apps are visual components seen by users, while broadcast receivers wait for external events. Content providers make app aspects available, and services are activities without a user interface.
In app development, regular apps (B) refer to the visual components that users see when they run an application. These components provide the user interface and interact directly with the user.
Broadcast receivers (C) are components that listen and wait for events to occur outside the app. They can receive and handle system-wide or custom events, such as incoming calls, SMS messages, or changes in network connectivity.
Content providers (F) are components that make specific aspects of an app's data available to other apps. They enable sharing and accessing data from one app to another, such as contacts, media files, or database information.
Services (G) or background services (H) are activities without a user interface. They perform tasks in the background and continue to run even if the user switches to another app or the app is not actively being used. Services are commonly used for long-running operations or tasks that don't require user interaction, like playing music, downloading files, or syncing data in the background.
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Write a program to enter the value of two variables. Find the minimum value for two variables.
The program prompts the user for two variable values, compares them, and outputs the minimum value.
To find the minimum value of two variables, you can write a program that prompts the user to enter the values of the variables, compares them, and then outputs the minimum value.
Here's an example program in Python:
```python
# Prompt the user to enter the values of the variables
var1 = float(input("Enter the value of variable 1: "))
var2 = float(input("Enter the value of variable 2: "))
# Compare the values and find the minimum
minimum = min(var1, var2)
# Output the minimum value
print("The minimum value is:", minimum)
```
The program starts by asking the user to enter the values of two variables, `var1` and `var2`. It then uses the `min()` function in Python to compare the values and determine the minimum value. The minimum value is stored in the `minimum` variable. Finally, the program outputs the minimum value using the `print()` function. By comparing the two variables and finding the minimum value, the program provides the desired result.
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6. (P10.3, Page 316) In the DifficHellman protocol, each participant selects a secret number x and sends the other participant a mod q for some public number a. That is, Alice generates her private key as XA = x and her public key as YA = α" mod 9, and sends her public key to Bob. X a) What would happen if the participants instead formed their public keys as Y₁ = (XÂ)ª and Y₁ = (XB)ª and sent each other these for some public number a? Propose one method Alice and Bob could use to agree on a key. b) Can Darth break your system without finding the private keys XÃ and XÂ?
The proposed alternative method for forming public keys in the Diffie-Hellman protocol is insecure. To ensure secure key exchange, Alice and Bob should use the Diffie-Hellman key exchange protocol.
Darth cannot break the system without obtaining the private keys or finding vulnerabilities in the cryptographic algorithms used.
a) If the participants formed their public keys as Y₁ = (XÂ)ª and Y₁ = (XB)ª and sent them to each other, it would not provide a secure key exchange. An attacker could intercept the public keys and compute the secret key using their own private key, which would compromise the security of the system.
To ensure a secure key exchange, Alice and Bob can use the Diffie-Hellman key exchange protocol. In this protocol, both Alice and Bob agree on a public prime number (q) and a generator (α). They each select a secret number (xA and xB) and compute their respective public keys as YA = (α^xA) mod q and YB = (α^xB) mod q. Then, they exchange their public keys. Finally, they compute the shared secret key as K = (YB^xA) mod q = (YA^xB) mod q.
b) No, Darth cannot break the system without finding the private keys XÃ and XÂ. The security of the system relies on the difficulty of computing the private keys from the exchanged public keys. If Darth does not have the private keys, he cannot compute the shared secret key, which ensures the confidentiality of the communication. However, if Darth manages to obtain the private keys or finds a way to break the cryptographic algorithms used in the protocol, then he could potentially compromise the system's security.
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Using Nyquest, derive DS0,T1, using OC1, derive OC1 to OC 768
bit rates
Using the Nyquist theorem, we can derive the bit rates for DS0 and T1 based on the OC1 signal. Additionally, by considering the SONET/SDH hierarchy, we can determine the OC-1 to OC-768 bit rates.
DS0 and T1 Bit Rates:
The Nyquist theorem states that the maximum bit rate of a digital signal is twice the bandwidth of the channel. For DS0, which has a bandwidth of 4 kHz, the maximum bit rate would be 2 * 4,000 = 8,000 bps or 8 kbps. T1, which comprises 24 DS0 channels, has a total bit rate of 24 * 8,000 = 192,000 bps or 192 kbps.
OC-1 to OC-768 Bit Rates:
The SONET/SDH hierarchy defines various Optical Carrier (OC) levels with specific bit rates. Each level is a multiple of the basic OC-1 level. The OC-1 bit rate is 51.84 Mbps, and the higher levels are derived by multiplying this base rate.
Here are the bit rates for OC-1 to OC-768:
OC-1: 51.84 Mbps
OC-3: 3 * OC-1 = 155.52 Mbps
OC-12: 4 * OC-3 = 622.08 Mbps
OC-24: 2 * OC-12 = 1.244 Gbps
OC-48: 4 * OC-12 = 2.488 Gbps
OC-192: 4 * OC-48 = 9.953 Gbps
OC-768: 4 * OC-192 = 39.813 Gbps
Using the Nyquist theorem, we can determine the bit rates for DS0 (8 kbps) and T1 (192 kbps). From there, by considering the SONET/SDH hierarchy, we can derive the bit rates for OC-1 to OC-768.
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compile a short paragraph about Babbage contribution to the
Field of Computer Architecture.
Charles Babbage, an English mathematician and inventor, made significant contributions to the field of computer architecture. Charles Babbage is renowned for his creation of the Analytical Engine, a mechanical computing device that was designed to perform a wide range of general-purpose computations.
Babbage's vision of the Analytical Engine incorporated key principles such as separate storage and processing units, a control unit for instruction execution, and the concept of conditional branching.
Although the Analytical Engine was never fully realized during Babbage's lifetime, his ideas and designs became instrumental in shaping the future development of computers.
Babbage's contributions to computer architecture have had a profound and lasting impact, inspiring generations of scientists and engineers in the pursuit of technological advancement.
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Which aspect of image pre-processing below best categorises the process of identifying objects? a. Image segmentation b. Image restoration d. Image enhancement
The aspect of image pre-processing that best categorizes the process of identifying objects is image segmentation. So, option a is correct.
Image segmentation is the process (pre-processing) of partitioning an image into multiple regions or segments to separate objects from the background. It aims to identify and extract individual objects or regions of interest from an image.
By dividing the image into distinct segments, image segmentation provides a foundation for subsequent object detection, recognition, or analysis tasks.
On the other hand, image restoration and image enhancement are different aspects of image processing that focus on improving the quality or visual appearance of an image.
Image restoration techniques aim to recover the original, undistorted version of an image by reducing noise, removing blur, or correcting other types of degradations that may have occurred during image acquisition or transmission.
Image enhancement techniques, on the other hand, are used to improve specific visual aspects of an image, such as contrast, brightness, sharpness, or color balance, without altering the underlying content or structure.
While both image restoration and image enhancement can contribute to the overall quality of an image, they do not directly involve the process of identifying objects within an image. Image segmentation plays a fundamental role in object identification and extraction, making it the most relevant aspect for this purpose.
So, option a is correct.
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In Python Please
6.24 (Functions) LAB: Swapping variables Write a program whose input is two integers and whose output is the two integers swapped. Ex: If the input is 3 8, then the output is 8 3 Your program must define and call the following function. SwapValues returns the two values in swapped order. def SwapValues (userVall, userVal2)
6.24.1: (Functions) LAB: Swapping variables main.py 1 "'' Define your function here. ''' 2 1 name main 3 if 4 TH Type your code here. Your code must call the function. '''|| 0/10 Load default template...
To swap the values of two integers in Python, a program can be written using a function called SwapValues. The program takes two integers as input and returns the swapped values as output.
The SwapValues function is defined and called in the program's main section. When executed, the program prompts the user to enter two integers, passes them to the SwapValues function, and displays the swapped values.
To implement the program, the following steps can be followed:
Define the SwapValues function that takes two parameters, userVal1 and userVal2.
Inside the function, swap the values of userVal1 and userVal2 using a temporary variable.
Return the swapped values.
In the main section of the program, prompt the user to enter two integers.
Call the SwapValues function, passing the user's input as arguments.
Display the swapped values as the output.
Executing this program allows the user to input two integers, and it outputs the values swapped. The SwapValues function ensures that the values are properly swapped.
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What do you understand by "Digital Feudalism"? Describe its implications from the organizational as well as individual perspectives.
Digital feudalism refers to a situation where a small number of powerful technology companies control and dominate the digital realm, creating a hierarchical structure reminiscent of feudal societies.
From an organizational perspective, digital feudalism implies that these companies have immense power over smaller businesses, dictating terms, monopolizing markets, and potentially stifling innovation. They can also influence public discourse and shape the flow of information. From an individual perspective, digital feudalism raises concerns about privacy, data ownership, and limited choices. Users may become dependent on a few platforms for their digital lives, leading to a loss of autonomy and control over personal data.
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Write a C program that on the input of a string w consisting of only letters, separates the lowercase and uppercase letters. That is, you have to modify w such that all the lowercase letters are to the left and uppercase letters on the right. The order of the letters need not be retained. The number of comparisons should be at most 2nwherenis the length of string w. Assume that the length of the input string is at most 49. You are not allowed to use any library functions other than strlen and standard input/output. Your program should have only the main()function.
Sample Output
Enter string: dYfJlslTwXKLp
Modified string: dpfwlslTXLKJY
The given C program separates lowercase and uppercase letters in a string. It swaps lowercase letters with preceding uppercase letters, resulting in lowercase letters on the left and uppercase letters on the right.
```c
#include <stdio.h>
#include <string.h>
void separateLetters(char* w) {
int len = strlen(w);
int i, j;
for (i = 0; i < len; i++) {
if (w[i] >= 'a' && w[i] <= 'z') {
for (j = i; j > 0; j--) {
if (w[j - 1] >= 'A' && w[j - 1] <= 'Z') {
char temp = w[j];
w[j] = w[j - 1];
w[j - 1] = temp;
} else {
break;
}
}
}
}
}
int main() {
char w[50];
printf("Enter string: ");
scanf("%s", w);
separateLetters(w);
printf("Modified string: %s\n", w);
return 0;
}
```
Explanation:
The program uses a nested loop to iterate through the string `w`. It checks each character and if it is a lowercase letter, it swaps it with the preceding uppercase letters (if any). This process ensures that all lowercase letters are moved to the left and uppercase letters to the right. Finally, the modified string is printed as the output.
Note: The program assumes that the input string contains only letters and has a maximum length of 49.
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Create three source code files: point.h, point.cpp, and main.cpp. Requirements Define a class called Point using the following UML Class Diagram. Point - x: double - y: double Point() Point (double, double) + getX(): double + getY(): double + showPoint(): void Point() Point (double, double) + getX(): double + getY(): double + showPoint(): void The Point class must meet the following requirements: o The getX() member function returns the value stored in x. o The getY() member function returns the value stored in y. o The showPoint () member function displays the point in (x,y) format, for example: (4,3). Write a program to demonstrate the class that meets the following requirements: o The program must create two points. o The program must demonstrate ALL member functions. o The program must calculate the distance between the two points.
By compiling and running the program, you will see the output showing the coordinates of the two points and the calculated distance between them.
Here are the three source code files that meet the given requirements:
#ifndef POINT_H
#define POINT_H
class Point {
private:
double x;
double y;
public:
Point();
Point(double x, double y);
double getX();
double getY();
void showPoint();
};
#endif
point.cpp:
cpp
Copy code
#include "point.h"
#include <iostream>
#include <cmath>
Point::Point() {
x = 0.0;
y = 0.0;
}
Point::Point(double x, double y) {
this->x = x;
this->y = y;
}
double Point::getX() {
return x;
}
double Point::getY() {
return y;
}
void Point::showPoint() {
std::cout << "(" << x << "," << y << ")" << std::endl;
}
main.cpp:
cpp
Copy code
#include "point.h"
#include <iostream>
#include <cmath>
int main() {
Point p1(4.0, 3.0);
Point p2(6.0, 8.0);
std::cout << "Point 1: ";
p1.showPoint();
std::cout << "Point 2: ";
p2.showPoint();
double distance = std::sqrt(std::pow(p2.getX() - p1.getX(), 2) + std::pow(p2.getY() - p1.getY(), 2));
std::cout << "Distance between the points: " << distance << std::endl;
return 0;
}
The code consists of three files: point.h, point.cpp, and main.cpp.
The Point class is defined in point.h and has private member variables x and y, representing the coordinates of a point. The class provides a default constructor and a parameterized constructor to initialize the point's coordinates. It also includes public member functions getX() and getY() to retrieve the x and y coordinates, respectively. The showPoint() function displays the point in (x, y) format.
In point.cpp, the member function implementations of the Point class are provided. The showPoint() function uses std::cout to print the point in the desired format.
The main.cpp file demonstrates the usage of the Point class. Two Point objects, p1 and p2, are created with specific coordinates. The showPoint() function is called on each object to display their values. Additionally, the distance between the two points is calculated using the Euclidean distance formula and displayed.
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Problem 5 Use the fimplicit3 function to create a surface plot of the function X^2 + 30y^2 + 30z^2 = 120
The code for creating a surface plot of the function x²+30y²+30z²=120 is given below in the program, when we execute it we get the surface plot.
To create a surface plot of the equation x²+30y²+30z²=120
we can use the fimplicit3 function in MATLAB.
This function allows us to plot implicit equations in three dimensions.
% Define the equation
eqn = (x, y, z) x² + 30×y² + 30×z² - 120;
% Create the surface plot
fimplicit3(eqn, [-5 5 -5 5 -5 5], 'MeshDensity', 100)
xlabel('X')
ylabel('Y')
zlabel('Z')
title('Surface Plot: X² + 30Y² + 30Z² = 120')
In this code, we define the equation as an anonymous function eqn that takes three variables (x, y, and z).
We then use the fimplicit3 function to plot the equation over the specified range [-5 5] for each variable (x, y, and z).
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What is the runtime complexity (in Big-O Notation) of the following operations for a Hash Map: insertion, removal, and lookup? What is the runtime complexity of the following operations for a Binary Search Tree: insertion, removal, lookup?
The runtime complexity (in Big-O Notation) of the operations for a Hash Map and a Binary Search Tree are as follows:
Hash Map:
Insertion (put operation): O(1) average case, O(n) worst case (when there are many collisions and rehashing is required)
Removal (remove operation): O(1) average case, O(n) worst case (when there are many collisions and rehashing is required)
Lookup (get operation): O(1) average case, O(n) worst case (when there are many collisions and rehashing is required)
Binary Search Tree:
Insertion: O(log n) average case, O(n) worst case (when the tree becomes skewed and resembles a linked list)
Removal: O(log n) average case, O(n) worst case (when the tree becomes skewed and resembles a linked list)
Lookup: O(log n) average case, O(n) worst case (when the tree becomes skewed and resembles a linked list)
It's important to note that the average case complexity for hash map operations assumes a good hash function and a reasonably distributed set of keys. In the worst case, when there are many collisions, the complexity can degrade to O(n), where n is the number of elements in the hash map. Similarly, the average case complexity for binary search tree operations assumes a balanced tree, while the worst-case complexity occurs when the tree becomes heavily unbalanced and resembles a linked list, resulting in O(n) complexity.
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Write a function file in MATLAB that calculates activity coefficients for any number of components. The input variables being composition, molar volumes, temperature, and interaction parameters a. The line that defines the function should look more or less like this: function g = wilson (x, a, V, RT) Test your function files for a system consisting of water, acetone and methanol with molar fractions of 0.25, 0.55 and 0.20 respectively at a temperature of 50 °C.
The function file in MATLAB that calculates activity coefficients for any number of components.
The MATLAB codefunction g = wilson(x, a, V, RT)
N = length(x); % Number of components
ln_gamma = zeros(N, 1); % Initialize activity coefficients
for i = 1:N
sum_term = 0;
for j = 1:N
sum_term = sum_term + x(j) * a(i, j);
end
ln_gamma(i) = -log(x(i) + sum_term);
end
g = exp(ln_gamma);
end
% Test the function for water, acetone, and methanol at 50 °C
x = [0.25; 0.55; 0.20];
a = [0 0.044 0.048; 0.044 0 0.048; 0.048 0.048 0];
V = [18; 58; 32]; % Molar volumes in cm^3/mol
R = 8.314; % Universal gas constant in J/(mol K)
T = 50 + 273.15; % Temperature in Kelvin
RT = R * T;
g = wilson(x, a, V, RT);
disp(g);
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Please write C++ functions, class and methods to answer the following question.
Write a function named "createWord" that accepts a word (string) and a
definition (string). It will return the pointer of a newly created Word object
holding that information if they are valid: word and definition cannot be empty or
all blanks. When it is invalid, it will return nullptr to indicate that it cannot create
such Word object.
In C++, functions are a set of instructions that perform a specific task and return a value to the caller. A class is a user-defined data type that contains data members (variables) and member functions (methods) that operate on those data members. In object-oriented programming, classes provide encapsulation, inheritance, and polymorphism.
A class named "Word" is created in the program below, with data members word and definition, and a constructor method to initialize these data members. A method named "validateWord" is created to check if the word and definition are valid or not.
The "createWord" function accepts two strings as parameters, word and definition, and returns a pointer to a new "Word" object. The function first calls the "validateWord" method to check if the word and definition are valid. If they are, it creates a new "Word" object using the "new" keyword and initializes its data members using the constructor method. If they are not valid, the function returns nullptr to indicate that it cannot create a "Word" object.
```c++
#include
#include
using namespace std;
class Word {
public:
string word;
string definition;
Word(string w, string d) {
word = w;
definition = d;
}
};
class Dictionary {
public:
Word* createWord(string word, string definition) {
if (validateWord(word, definition)) {
Word* w = new Word(word, definition);
return w;
}
else {
return nullptr;
}
}
bool validateWord(string word, string definition) {
if (word.empty() || definition.empty()) {
return false;
}
for (char c : word) {
if (!isalpha(c)) {
return false;
}
}
for (char c : definition) {
if (!isalnum(c) && c != ' ') {
return false;
}
}
return true;
}
};
int main() {
Dictionary dict;
string word, definition;
cout << "Enter a word: ";
getline(cin, word);
cout << "Enter a definition: ";
getline(cin, definition);
Word* w = dict.createWord(word, definition);
if (w == nullptr) {
cout << "Invalid word or definition." << endl;
}
else {
cout << "Word: " << w->word << endl;
cout << "Definition: " << w->definition << endl;
}
delete w;
return 0;
}
```
The program uses a class named "Word" to hold the word and its definition and a class named "Dictionary" to create new "Word" objects. The "createWord" function creates a new "Word" object if the word and definition are valid and returns a pointer to it. Otherwise, it returns nullptr to indicate that it cannot create a "Word" object.
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11. We can review the values in the TVM registers by simply pressing the key of the value we want to review. (T or F) 12. Values can be entered in the TVM registers in any order. (T or F ) 13. When entering dollar amounts in the PV, PMT, and FV registers, we should enter amounts paid as positive numbers, and amounts received as negative numbers. ( T or F ) 14. Suppose you are entering a negative $300 in the PMT register. Keystrokes are: [−]300 [PMT]. (T or F) 15. If you make a total of ten $50 payments, you should enter $500 in the PMT register. (T or F)
We can review the values in the TVM registers by simply pressing the key .False. Values cannot be entered in the TVM registers in any order. Hence, the answer is as follows:True. False. True. True. True.
When entering dollar amounts in the PV, PMT, and FV registers, we should enter amounts paid as positive numbers, and amounts received as negative numbers.True. Suppose you are entering a negative $300 in the PMT register. Keystrokes are: [−]300 [PMT].15. True. If you make a total of ten $50 payments, you should enter $500 in the PMT register.True. We can review the values in the TVM registers by simply pressing the key of the value we want to review.
False. Values cannot be entered in the TVM registers in any order. TVM refers to time value of money which is a financial concept.13. True. When entering dollar amounts in the PV, PMT, and FV registers, we should enter amounts paid as positive numbers, and amounts received as negative numbers.True. Suppose you are entering a negative $300 in the PMT register. Keystrokes are: [−]300 [PMT]. True. If you make a total of ten $50 payments, you should enter $500 in the PMT register.In total, there are five statements given, each of which is either true or false.
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Consider the following two atomic formulas:
P(z,x,f(y))P(z,x,f(y)) and P(g(x),b,f(g(a)))P(g(x),b,f(g(a)))
where PP is a 3-ary predicate; ff and gg are unary functions; aa and bb are constants; and x,yx,y and zz are variables.
Identify a most general unifier of the two formulas.
Write your answer as a comma-separated list of substitutions; for example: x/y, y/a, z/f(a)
The most general unifier of the two formulas P(z,x,f(y)) and P(g(x),b,f(g(a))) is z/g(a), x/b, and y/g(a). This means that z is unified with g(a), x is unified with b, and y is unified with g(a).
To find the most general unifier, we look for substitutions that make the two formulas identical. Let's examine the two formulas and find a unifying substitution: Formula 1: P(z,x,f(y))
Formula 2: P(g(x),b,f(g(a)))
We can see that z and g(x) should be unified, x and b should be unified, and y and g(a) should be unified. Therefore, we have the following substitutions: z/g(a) (z is unified with g(a))
x/b (x is unified with b)
y/g(a) (y is unified with g(a))
These substitutions make both formulas identical and unify all variables and constants in the two formulas. So, the most general unifier of the two formulas is z/g(a), x/b, and y/g(a), which indicates that z is unified with g(a), x is unified with b, and y is unified with g(a).
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3) Requirements engineering is one important process in software engineering. With aid of a diagram explain this process, showing all the stages involved [10]
Requirements engineering is a systematic process in software engineering that involves gathering, analyzing, documenting, and managing requirements for a software system.
How is this so?The stages of requirements engineering include requirements elicitation, requirements analysis, requirements specification, requirements validation, and requirements management.
These stages are depicted in a diagram where each stage is connected in a sequential manner, representing the flow of activities involved in understanding and defining the needs of stakeholders and translating them into well-defined system requirements.
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Consider the following dataset: o vgsales.csv o This dataset contain data of video sales of various publisher, platforms, and genre and it has the following columns Dataset Columns: Column name Description Name The games name Platform Platform of the games release (i.e. PC,PS4, etc.) Year Year of the game's release Genre Genre of the game (ie. Sport, Actions, etc.) Publisher Publisher of the game NA Sales Sales in North America (in millions) EU_Sales Sales in Europe (in millions) JP_Sales Sales in Japan (in millions) Other_Sales Sales in the rest of the world (in millions) Global_Sales Total worldwide sales Instructions: Each team will be required to come with the completed
In the given dataset "vgsales.csv," the columns represent various attributes related to video game sales, including the game's name, platform, year of release, genre, publisher, and sales figures for different regions (North America, Europe, Japan, and the rest of the world), as well as global sales.
Each team is tasked with completing the dataset, presumably by filling in missing values or performing data analysis tasks on the existing data. However, without specific requirements or goals, it is unclear what specific actions are required to consider the dataset completed. Further instructions or objectives would be necessary to provide a more specific solution.
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Class Name: Department Problem Description: Create a class for Department and implement all the below listed concepts in your class. Read lecture slides for reference. 1. Data fields Note: These Student objects are the objects from the Student class that you created above. So, you need to work on the Student class before you work on this Department class. • name • Students (array of Student, assume size = 500) • count (total number of Students) Select proper datatypes for these variables. 2. Constructors - create at least 2 constructors • No parameter . With parameter Set name using the constructor with parameter. 3. Methods • To add a new student to this dept • To remove a student from this dept • toString method: To print the details of the department including every Student. • getter methods for each data field • setter method for name • To transfer a student to another dept, i.e. provide a student and a department object • To transfer a student from another dept, i.e. provide a student and a department object Note: A student can be uniquely identified by its student ID 4. Visibility Modifiers: private for data fields and public for methods 5. Write some test cases in main method You also need to create a Word or PDF file that contains: 1. Screen captures of execution for each program, 2. Reflection : Please write at least 300 words or more about what you learned, what challenges you faced, and how you solved it. You can also write about what was most frustrating and what was rewarding. When you write about what you learned, please be specific and list all the new terms or ideas that you learned! Make sure include proper header and comments in your program!!
__str__() method to display the details of the department and students. However, I was able to overcome this challenge by using a list comprehension to convert each student object into a string representation, and then joining these strings with newline characters.
I also faced challenges while implementing the data validation check for adding students to the department. Initially, I had used the len() function to check the length of the students array, but this didn't work as expected because the array is initialized with a fixed size of 500. So instead, I checked the value of the count variable to ensure that it is less than 500 before adding a new student to the array.
Overall, this exercise helped me understand the concept of encapsulation and the importance of data validation. It also reinforced my understanding of classes, objects, constructors, and methods in Python. Additionally, I learned how to write test cases to verify the functionality of my code.
In terms of rewarding aspects, I found that breaking down the problem into smaller components and tackling them one at a time helped me stay organized and make steady progress. The ability to create reusable objects through classes and to encapsulate data and behavior within these objects provides a powerful tool for building complex software systems.
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How the following techniques are related to the computer performance (i.e. how they improve the computer performance). (6 points) a. branch prediction b. data flow analysis 5. Pipeline technique ... (7 points) a. What are the conditions that cause the pipelines to stall? b. Do you know of any technique that helps reduce the number of pipeline stalls? Explain you answer... 6. Why interrupt-driven 10 technique performs better that the DMA (Direct memory access) 10 technique? (4 points) 7. How is the locality principle related to the cache memory?
Branch prediction: Branch prediction is a technique used in modern processors to improve computer performance by predicting the outcome of conditional branch instructions (e.g., if-else statements, loops) and speculatively executing the predicted branch.
By predicting the correct branch, the processor avoids pipeline stalls caused by waiting for the branch instruction to be resolved, leading to improved performance.
Data flow analysis: Data flow analysis is a technique used to analyze and optimize the flow of data within a program. By analyzing how data is used and propagated through different parts of the program, optimizations can be applied to improve performance. For example, identifying variables that are not used can lead to dead code elimination, reducing unnecessary computations and improving performance.
Pipeline technique: The pipeline technique is used to improve computer performance by breaking down the execution of instructions into multiple stages and executing them concurrently. Each stage of the pipeline performs a specific operation (e.g., fetch, decode, execute, write back), allowing multiple instructions to be processed simultaneously. This overlap of instruction execution improves throughput and overall performance.
a. Conditions that cause pipelines to stall include:
Data hazards: Dependencies between instructions where the result of one instruction is needed by a subsequent instruction.
Control hazards: Branches or jumps that change the program flow and may cause the pipeline to fetch and decode incorrect instructions.
Structural hazards: Resource conflicts when multiple instructions require the same hardware resource.
Memory hazards: Dependencies on memory operations that require accessing data from memory.
b. Techniques to reduce pipeline stalls include:
Forwarding: Forwarding or bypassing allows data to be passed directly from one pipeline stage to another, bypassing the need to write and read from memory.
Speculative execution: Speculative execution involves predicting the outcome of branches and executing instructions speculatively before the branch is resolved.
Branch prediction: Branch prediction techniques aim to predict the outcome of branches accurately to minimize pipeline stalls caused by branch instructions.
Interrupt-driven technique vs. DMA (Direct Memory Access) technique:
Interrupt-driven technique: In this technique, the processor responds to external events or interrupts and switches its execution to handle the interrupt. The processor saves the current state, executes the interrupt handler, and then resumes the interrupted task. This technique is efficient for handling a large number of interrupts or events that require immediate attention.
DMA (Direct Memory Access) technique: DMA is a technique where a dedicated DMA controller takes over the data transfer between devices and memory without the intervention of the processor. The DMA controller manages the transfer independently, freeing up the processor to perform other tasks. DMA is beneficial for high-speed data transfer between devices and memory.
The interrupt-driven technique performs better than the DMA technique in scenarios where there are frequent events or interrupts that require immediate attention and handling by the processor. The interrupt-driven technique allows the processor to respond promptly to interrupts and perform necessary operations based on the specific event or interrupt condition. DMA, on the other hand, is more suitable for large data transfers between devices and memory, where the processor can offload the data transfer task to a dedicated DMA controller, allowing it to focus on other tasks.
Locality principle and cache memory: The locality principle is related to cache memory in the following ways:
The principle of locality states that programs tend to access a relatively small portion of the address space at any given time. There are two types of locality:
Temporal locality: Recently accessed data is likely to be accessed again in the near future.
Spatial locality: Data located near recently accessed data is likely to be accessed soon.
Cache memory exploits the principle of locality to improve computer performance. Cache memory is a small, fast memory that stores recently accessed data and instructions. When the processor needs to access data, it first checks the cache memory. If the data is found in the cache (cache hit), it can be retrieved quickly, avoiding the need to access slower main memory (cache miss). By storing frequently accessed data in the cache, cache memory reduces the average memory access time and improves overall performance. Cache memory takes advantage of both temporal and spatial locality by storing recently accessed data and data that is likely to be accessed together in contiguous memory locations.
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Which one of the following actions is NOT performed by running mysql_secure_installation a. Set root password b. Remove anonymous user c. Disallow root login remotely d. Remove test database and access to it e. Reload privilege tables now f. Restart MariaDB service
Running mysql_secure_installation does NOT restart the MariaDB service.
It performs several important actions to secure the database.
These actions include setting the root password for the database (option a), removing the anonymous user (option b), disallowing remote root login (option c), removing the test database and access to it (option d), and reloading the privilege tables (option e). These steps help to prevent unauthorized access and secure the database installation.
However, restarting the MariaDB service (option f) is not performed by the mysql_secure_installation script. After running the script, the administrator needs to manually restart the MariaDB service to apply the changes made by the script.
It's worth noting that restarting the service is not a security measure but rather a system administration task to apply configuration changes. The mysql_secure_installation script focuses on security-related actions to harden the MariaDB installation and does not include service restart as part of its functionality
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Predictor (TAP) component of TAPAS framework for Neural Network (NN) architecture search.
1) TAP predicts the accuracy for a NN architecture by only training for a few epochs and then extrapolating the performance.
2) TAP predicts the accuracy for a NN architecture by not training the candidate network at all on the target dataset.
3) It employs a 2-layered CNN with a single output using softmax.
4) TAP is trained on a subset of experiments from LDE each time a new target dataset is presented for which an architecture search needs to be done.
The correct answer is option 1.
TAP (Predictor) is a component of the TAPAS framework for Neural Network (NN) architecture search. It predicts the accuracy of a NN architecture by only training for a few epochs and then extrapolating the performance.
A neural network (NN) is a computational method modeled after the human brain's neural structure and function. An NN has several layers of artificial neurons, which are nodes that communicate with one another through synapses, which are modeled after biological neurons. The neural network's training algorithm is a method for modifying the connections between artificial neurons to generate a desired output for a given input. Architecture search is a process of automatically discovering optimal neural network architectures for a given task. To address this problem, a framework for neural architecture search called TAPAS is proposed. It utilizes a two-level optimization strategy to iteratively optimize both the network's architecture and its weights. TAP has three components, i.e., Predictor, Sampler, and Evaluator. TAPAS employs a two-layered CNN with a single output using softmax. It is trained on a subset of experiments from LDE each time a new target dataset is presented for which an architecture search needs to be done.
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