EBK STARTING OUT WITH PROGRAMMING LOGIC
4th Edition
ISBN: 9780100659384
Author: GADDIS
Publisher: YUZU
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Textbook Question
Chapter 13, Problem 10MC
A recursive
- a. solve the problem without recursion
- b. reduce the problem to a smaller version of the original problem
- c. acknowledge that an error has occurred and abort the
program - d. enlarge the problem to a larger version of the original problem
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Students have asked these similar questions
Recursion is an approach in which the solution to a particular problem depends on solutions
to same size instances of the same problem.
Select one:
O True
O False
The following recursion occurs when there are more than two calls for each non-base case: :
c)Multiple recursion
d)Two Step Recursion
a)Linear recursion
b)Binary recursion
Simple answer.
Choose a or b or c or d.
Let S be the set of positive integers defined by:
Basis step: 4 € S.
Recursive step: If nE S, then 5n +2 e S and n? e S.
(a) Find four elements of S that are less than 120.
(b) What is the remainder of each of the four elements of S you listed above when they are each divided
by 6. Note: You should get the same number. Show the math for each number.
(c) State a hypothesis about the remainder of any element of S when the element is divided by 6. Explain
how you would use structural induction over the set S to prove your hypothesis. Note: You do not need
to actually prove your hypothesis, but clearly explain the steps you would take including the basis step
and the inductive step.
Chapter 13 Solutions
EBK STARTING OUT WITH PROGRAMMING LOGIC
Ch. 13.2 - It is said that a recursive algorithm has more...Ch. 13.2 - Prob. 13.2CPCh. 13.2 - What is a recursive case?Ch. 13.2 - What causes a recursive algorithm to stop calling...Ch. 13.2 - What is direct recursion? What is indirect...Ch. 13 - Prob. 1MCCh. 13 - A module is called once from a programs main...Ch. 13 - The part of a problem that can be solved without...Ch. 13 - Prob. 4MCCh. 13 - Prob. 5MC
Ch. 13 - Prob. 6MCCh. 13 - Any problem that can be solved recursively can...Ch. 13 - Actions taken by the computer when a module is...Ch. 13 - A recursive algorithm must _______ in the...Ch. 13 - A recursive algorithm must _____ in the base case....Ch. 13 - An algorithm that uses a loop will usually run...Ch. 13 - Some problems can be solved through recursion...Ch. 13 - It is not necessary to have a base case in all...Ch. 13 - In the base case, a recursive method calls itself...Ch. 13 - In Program 13-2, presented earlier in this...Ch. 13 - In this chapter, the rules given for calculating...Ch. 13 - Is recursion ever required to solve a problem?...Ch. 13 - When recursion is used to solve a problem, why...Ch. 13 - How is a problem usually reduced with a recursive...Ch. 13 - What will the following program display? Module...Ch. 13 - What will the following program display? Module...Ch. 13 - The following module uses a loop. Rewrite it as a...Ch. 13 - Prob. 1PECh. 13 - Prob. 2PECh. 13 - Recursive Array Sum Design a function that accepts...Ch. 13 - Prob. 4PECh. 13 - Prob. 5PECh. 13 - Ackermanns Function 7. Ackermanns Function is a...
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Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Similar questions
- 1. What is the difference between an iterative algorithm and a recursive algorithm? 2. What is a recursive algorithm’s base case? What is the recursive case? 3. What is the base case of each of the recursive methods listed in Algorithm Workbench 3, 4, and 5? 4. What type of recursive method do you think would be more difficult to debug: one that uses direct recursion or one that uses indirect recursion? Why? 5. Which repetition approach is less efficient: a loop or a recursive method? Why? 6. When recursion is used to solve a problem, why must the recursive method call itself to solve a smaller version of the original problem? 7. How is a problem usually reduced with a recursive method?arrow_forwardAlgorithm problem w/ recurrence: Frying pancakes: a small pan can only hold two pancakes at a time. Each pancake needs to be fried on both sides. Frying one side takes 1 minute, no matter how many pancakes are on the pan. Consider this recursive algorithm: If n <= 2, fry the pancakes or the two pancakes together on each side. If n > 2, fry any two pancakes together on each side and then apply the same process recursively to the remaining n-2 pancakes. a. Set up and solve the recurrence for the amount of time this algorithm needs to fry n pancakes. b. Explain why this algorithm does not fry the pancakes in the minimum time for all n > 0. c. Give a correct recursive algorithm that executes the task in the minimum amount of time. > I was not sure how to start this. I have had trouble with recurrence in the past. Also from the work that I did do, I didn't know how there could be a better algorithm. Thanks in advancearrow_forwardIn a recursive solution, the _____ case is easily calculated, provides a stopping criterion, and prevents infinite loops. In the _____ case, the solution calls itself.arrow_forward
- 2. PLEASE USE RECURSION AND C PROGRAMMING LANGUAGE ONLY Ask a number N and finds the addition of N numbers using recursion.When done, ask user to repeat or end the program.arrow_forwardIs the recursive solution to the triangle number the best way to obtain the triangle number? A. Yes, because recursive solutions are always efficient. B. Yes, because the shape of the triangle number diagram lends itself to a recursive solution. C. No, the triangle number can be found in a more efficient manner. D. None of the above are true.arrow_forwardRecursion is the best and the fastest way to solve any problem.True or Falsearrow_forward
- Recursive Power FunctionWrite a function that uses recursion to raise a number to a power. The function should accept two arguments: the number to be raised and the exponent. Assume that the exponent is a nonnegative integer. Demonstrate the function in a program. SAMPLE RUN #0: ./recursiveExponent Hide Invisibles Highlight: Show Highlighted Only 2^3=8↵ 2^4=16↵ 3^3=27↵ 6^3=216↵ 7^7=823543↵ 10^9=1000000000↵arrow_forwardWhen should you choose a recursive algorithm over an iterative algorithm?arrow_forwardA recursive function’s solvable problem is known as its __________. This causes the recursion to stop.arrow_forward
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