Here is my question from my algorithm's class. Use asymptotic notations to describe the running times of the nested loops below. You may assume that n is a power of 2.
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Here is my question from my
Use asymptotic notations to describe the running times of the nested loops below. You may assume that n is a power of 2.
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- Here is my question that my professor gave to me as a homework from my algorithm's class. Use asymptotic notations to describe the running times of the nested loops below. You may assume that n is a power of 2.I want the algorithm for this questionYou are advised to refer to the recommended textbook “Introduction to Algorithms (3rdedition) by Thomas H. Corman, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein”. Have areading through Chapter 04 and answer the following questions as a follow up exercise Compute big-oh of the given T(n) using the Iteration Method:
- Use pseudocode to describe an algorithm that takes as input a list of n distinct integers and finds the location of the smallest odd integer in the list or returns 0 if there are no odd integers in the list. (Note: Use the operation "is odd" in your code, or similar; don't attempt to craft odd-ness checking logic.)Find the complexity of the program.Here is my question that my professor gave to me as a homework from my algorithm's class. Use asymptotic notations to describe the running times of the nested loops below. You may assume that n is a power of 2. i =1 while i <= n j =i while j >= 1 <body of the inner while loop> // Needs Θ(1) time. j =j / 2 i= i * 2
- c. How many times is the basic operation executed?d. What is the efficiency class of this algorithm?e. Suggest an improvement, or a better algorithm altogether, and indicate itsefficiency class. If you cannot do it, try to prove that, in fact, it cannot bedone.Which one of the following is NOT true? Because time is so complicated, it needs more CPU cycles. The complexity of space makes it easier to remember. Time complexity is measured by the number of operations. The worst case for an algorithm is when it needs to do the most work.You are given the task of analyzing how joyful a person is. If you are given a list of numbers that represent the emotional value of an individual on each day, design a divide and conquer algorithm to find the most joyous interval of the person. The measure of joy is given as sum of the values in interval multiplied by the smallest integer in the interval.
- Please tell the time complexity of the nested loops below.Instructions for Questions 1 through 6. For each piece of pseudocode, give the runtime in terms of N. Your answer should give an exact value for the number of times the inner loop runs (i.e. the final value of count), and it should also give the order of growth of the runtimes using big-Oh notation. You can assume that N "comes out nicely" with respect to loops. For example, if the loop counts by 2, you can assume it is an even number, and if it multiplies or divides by 2 each time, you can assume it is a power of 2. Note: log(N!) is 0(NlogN).The Fibonacci series begins with the terms 0 and 1 and has the property that each succeeding term is the sum of the two preceding terms. The first few terms are: 0, 1, 1, 2, 3, 5, 8, 13, 21, ... Write an algorithm in pseudo code to generate and print the first N terms of the Fibonacci series where N is user-defined. Pay attention to how your algorithm prints the first two terms.