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- The performance of a binary searching method is logarithmic. O(logn)finding a particular item from a list of 1,000 items takes three seconds. How long do you think it will take to search through a list with 100,000,000 items? How did you come to your conclusion?arrow_forwardWhat are the advantages and disadvantages of iterative algorithms compared to recursive algorithms, and in what scenarios would you prefer to use one over the other?arrow_forwardCompare the number of operations and time taken to compute Fibonacci numbers recursively versus that needed to compute them iterativelyarrow_forward
- Demonstrate as many algorithmic paradigms as possibleto write a program that raises the number X to the power n (Xn).arrow_forward2) A computer science student designed two candidate algorithms for a problem while working on his part-time job The time complexity of these two algorithms are T1(n) = 3 n logn and T2(n) = nº/5 . a) Which algorithm is better? Why? b) If we run both algorithms at the same time with an input size of 10°, which algorithm produces results faster than the other one? Why?arrow_forward2) A computer science student designed two candidate algorithms for a problem while working on his part-time job The time complexity of these two algorithms are T1(n) = 3 n log n and T2(n) = nº/5 . a) Which algorithm is better? Why? b) If we run both algorithms at the same time with an input size of 105, which algorithm produces results faster than the other one? Why?arrow_forward
- Write the pseudocode for a recursive algorithm to compute b3k, where b is a real number and k is a positive integer. Use the fact that b3k+1=(b3k)3.arrow_forwardRecursion can be direct or indirect. It is direct when a function calls itself and it is indirect recursion when a function calls another function that then calls the first function. To illustrate solving a problem using recursion, consider the Fibonacci series: - 1,1,2,3,5,8,13,21,34...The way to solve this problem is to examine the series carefully. The first two numbers are 1. Each subsequent number is the sum of the previous two numbers. Thus, the seventh number is the sum of the sixth and fifth numbers. More generally, the nth number is the sum of n - 2 and n - 1, as long as n > 2.Recursive functions need a stop condition. Something must happen to cause the program to stop recursing, or it will never end. In the Fibonacci series, n < 3 is a stop condition. The algorithm to use is this: 1. Ask the user for a position in the series.2. Call the fib () function with that position, passing in the value the user entered.3. The fib () function examines the argument (n). If n < 3…arrow_forwardAnswer the given question with a proper explanation and step-by-step solution. ANSWER ASAP FOR THUMBS UParrow_forward
- An arithmetic sequence a starts 84,77,... Define a recursively Define a for the n th termarrow_forwardA recursive definition for exponentiation on the non-negative integers is partially given as: • expt(k, 0) ::= ? • expt(k, n + 1) ::= k · expt(k, n) What is the value for ?arrow_forwardWAP using a recursive function to count and print the frequency of digits present in an integer.arrow_forward
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