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- q10) Analysis of an Algorithm with respective CPU time taken by algorithm to execute is called ______________. a. memory complexity b. time complexity c. space complexity d. execution complexity.(Practice) You’re given the job of preparing a complete meal for five people next weekend. Determine a set of subtasks to accomplish this task. (Hint: One subtask, not necessarily the first, is buying the food.)Which of the following DOES NOT correctly describe Big-Oh notation? Select one: A.It is used to measure the average performance or complexity of an algorithm B.It specifically describes the worst-case scenario of running an algorithm C.It measures the growth rates of resource requirement when size of input tends towards a particular value or infinity. D.It can be used to describe the execution time required or the space used (e.g. in memory or on disk) by an algorithm
- please try to understand the question and provide the correct answer i will give thumb up (like) if your answer is correct and suitable I NEED A VERY GOOD ANSWER AND GOOD EXPLAINITION....I ALREADY POSTED THIS QUESTION BUT NOW I MAKE EASY FOR IT PLZ HELP ME WITH THIS ASAP and please do not copy paste from geeksforgeeks SHOW all the types of algorithm classification Big O notation with appropriate diagram.The use of computers in education is referred to as computer-assisted instruction (CAI). One problem that develops in CAI environments is student fatigue. This problem can be eliminated by varying the computer's dialogue to hold the student's attention. For each correct answer and each incorrect an- swer. The set of responses for correct answers is as follows: Very good! Excellent! Nice work! Keep up the good work! The set of responses for incorrect answers is as follows: No. Please try again. Wrong. Try once more. Don't give up!No. Keep trying. Use random number generation to choose a number from 1 to 4 that will be used to select an appropriate response to each answer. Use a switch statement to issue the responses. Please write the code in Javascript HTML5Design an algorithm to read the bus rapid transit system routes list and print the number of tickets we need to purchase if we want to visit all places minimal twice. The complexity of the algorithm must be O(V+E). V is the number of places. E-> is the number of transits. PS: Use Tarjan’s or Kosaraju’s strongly connected component algorithm.
- Correct answer will be upvoted else downvoted. Computer science. single activity, you should supplant each digit d of the number with the decimal portrayal of integer d+1. For instance, 1912 becomes 21023 in the wake of applying the activity once. You need to find the length of n subsequent to applying m tasks. Since the appropriate response can be exceptionally enormous, print it modulo 109+7. Input The main line contains a solitary integer t (1≤t≤2⋅105) — the number of experiments. The main line of each experiment contains two integers n (1≤n≤109) and m (1≤m≤2⋅105) — the underlying number and the number of activities. Output For each experiment output the length of the subsequent number modulo 109+7.Q1.a Time complexity gives a rough idea of how long it will take for an algorithm to execute based on two things: the size of the input it has and the amount of steps it takes to complete, whereas space complexity is also the amount of memory required to execute an algorithm based on the size of input it has or given.Using mathematical notations or diagrams critically explain the time and space complexity of the code below. int a = 0;for (i = 0; i < N; i++) {for (j = N; j > i; j--) {a = a + i + j; }}b. i. What does it mean when we say that an algorithm A is asymptotically more efficient than algorithm B?ii. Algorithm A and B have a worst-case running time of O(n) and O(logn), respectively. Identify the algorithm that runs fast and critically explain why.Q1.a Time complexity gives a rough idea of how long it will take for an algorithm to execute based on two things: the size of the input it has and the amount of steps it takes to complete,whereas space complexity is also the amount of memory required to execute an algorithm based on the size of input it has or given.Using mathematical notations or diagrams critically explain the time and space complexity of the code below. int a = 0;for (i = 0; i < N; i++) {for (j = N; j > i; j--) {a = a + i + j;}}
- Time and space complexity are the main concerns to measure efficiency of algorithm. True FalseQuestion G FastFull explainthe this question very fast solution sent me step by step Don't ignore any part all part work u Text typing work only not allow paper workDefine Big ‘O’ notation. State the two factors which determine the complexity of an algorithm.