What is the additional space complexity of removing an element at the back of a queue with n elements and returning the queue with all other elements in their original order?.

Answers

Answer 1

Since no additional space is needed for each operation, the space complexity of any operation in a queue is O(1). 

The temporal complexity for enqueue and dequeue operations on a linked list used to implement a queue is O (1).

Simply said, stacks and queues adhere to the first-in, last-out (stacks), and first-in, first-out (queues) principles (queues). However, the time complexity for stacks is O(1) and the time complexity for queues is O for JavaScript array methods that come out of the box (n).

On a queue that is initially empty, the worst case time complexity of a series of n queue operations is (n). Complexity of a sequence of "n" queue operations is equal to the sum of the complexity of the enqueue and dequeue operations.

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Related Questions

A discovery schedule with a shazzam batch size of 5000 contains a /24 subnet ip range. A shazzam probe during discovery ______

Answers

A discovery schedule with a shazzam batch size of 5000 contains a /24 subnet ip range. A shazzam probe during discovery will be launched 1 time.

What will be searched during the discovery run will depend on the discovery timetable. We benefit from the discovery timetable in the following ways: identification of devices based on IP addresses. defining the use of credentials for device probes.

Plan a weekly or monthly exploration. Set up discovery to happen at predetermined intervals, like every 48 hours.

IP discovery is the process of looking for IP devices on your network using one or more techniques, such as SNMP, ICMP, or neighbourhood scanning.

For the first time, download an application from the ServiceNow Store. Get access to a product or application for security operations. A ServiceNow Store application must be activated.

Construct an integration for Security Operations.

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Which is the correct way of positioning the keyboard to prevent RSI?

A.

raise the front of the keyboard about 1/4 inches

B.

raise the front of the keyboard about 3/4 inches

C.

raise the front of the keyboard about 1/2 inches

D.

raise the front of the keyboard about 1/3 inches

E.

raise the back of the keyboard about 3/4 inches


Answer ASAP for 30 Points!!!

Answers

Answer:

Position the keyboard in front of you

Answer:

Position the keyboard in front of you

Explanation:

an algorithm that uses a constant number k of integer variables to find a number list's minimum value has space complexity s(n)

Answers

An algorithm that uses a constant number k of integer variables to find a number list's minimum value has space complexity S(N) = N and auxiliary space complexity S(N) = k.

What is time complexity?

Time complexity can be defined as a measure of the amount of time that is required by an algorithm to run till its completion of the task with respect to the length of the input.

Basically, the time complexity of an algorithm is defined by f(N) if; for all "N" and all inputs with length "N" the execution of the algorithm takes a maximum of f(n) steps. Therefore, the time complexity of an algorithm is also a measure of the efficiency of an algorithm.

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Complete Question:

An algorithm that uses a constant number k of integer variables to find a number list's minimum value has space complexity S(N) = _____ and auxiliary space complexity S(N) = _____.

Group of answer choices:

A.  k, N

B. N, N

C. k, k

D.  N, k

Which digital communication medium consists of top-level posts with threads of response posts?.

Answers

Answer:

A discussion board

Explanation:

Im big brain like that

What needs changing to make the following code work?

age = 15
print("The user's age is: " + age)

Group of answer choices

Change the print statement to read:
print("The user's age is: " + str(age))

Omit the apostrophe (')

Nothing, the code works as-is

Change the print statement to read:
print("The user's age is: " + int(age))

Answers

Answer:

print("The user/'s age is:" + age)

Explanation:

You can not use apostrophes in strings.

Embedded computers usually are small and have limited hardware but enhance the capabilities of everyday devices. True or false?.

Answers

Embedded computers usually are small and have limited hardware but enhance the capabilities of everyday devices: True.

What is a computer?

A computer can be defined as an electronic device that is designed and developed to receive data in its raw form as an input and processes these data through the central processing unit (CPU) into an output (information) that could be used by an end user.

What is a computer hardware?

A computer hardware can be defined as a physical component of an information technology (IT) or computer system that can be seen and touched such as:

Random access memory (RAM).Read only memory (ROM).Central processing unit (CPU)KeyboardMonitorMouseMotherboard bios chip

Generally, embedded computers such as robotic vacuum cleaners, smart wrist-watches, home security systems, etc., usually are small and have limited hardware, but are designed and developed to enhance the capabilities of everyday devices.

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janet’s friend has tagged her in an unflattering photo. to control her digital footprint, janet should

Answers

To control her digital footprint, Janet should untag herself or she need to ask the friend to remove the photo.

What is in a digital footprint?

The term  digital footprint is known to be a term that connote a trail of data that a person often makes while they are known to be using the Internet.

Note that it is made up of  the websites a person visit, emails that they  send, and information they had submitted  to online services. A passive digital footprint is seen as a data trail a person is known to have unintentionally left online.

Therefore, To control her digital footprint, Janet should untag herself or she need to ask the friend to remove the photo.

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Which of the following algorithms has the smallest time complexity? A. binary search B. insertion sort C. linear search D. merge sort​

Answers

An algorithm which has the smallest time complexity is: B. insertion sort.

What is time complexity?

Time complexity can be defined as a measure of the amount of time that is required by an algorithm to run till its completion of the task with respect to the length of the input.

Basically, the time complexity of an algorithm is defined by f(N) if; for all "N" and all inputs with length "N" the execution of the algorithm takes a maximum of f(n) steps. Therefore, the time complexity of an algorithm is also a measure of the efficiency of an algorithm.

In this scenario, an algorithm which has the smallest time complexity is insertion sort with O(N²).

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