Python Programming: An Introduction to Computer Science, 3rd Ed.
3rd Edition
ISBN: 9781590282755
Author: John Zelle
Publisher: Franklin, Beedle & Associates
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Chapter 13, Problem 10MC
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The halting problem is impossible to solve and hence creating clever
Hence, the correct answer is option “C”.
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Given the language, L = {abb, aabb, babb, aaabb, ababb, …………..}, which of the following is the correct the regular expression that can represent L.
A.(a+b)*ab
B.(aa)*(bb)*b
C.(a*ba*)
D.(a+b)*abb
Select a problem that lends itself to dynamic programming implementation.
i. State the issue succinctly and then offer the algorithm's high-level pseudocode.
ii. Justify why dynamic programming is advantageous for this method.
Make an attempt to pick an algorithm that is unique from those previously presented by one of your classmates. (Please refrain from using Fibonacci numbers.)
7. Design a Turing machine that adds two integers together. The number system is as following,
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Chapter 13 Solutions
Python Programming: An Introduction to Computer Science, 3rd Ed.
Ch. 13 - Prob. 1TFCh. 13 - Prob. 2TFCh. 13 - Prob. 3TFCh. 13 - Prob. 4TFCh. 13 - Prob. 5TFCh. 13 - Prob. 6TFCh. 13 - Prob. 7TFCh. 13 - Prob. 8TFCh. 13 - Prob. 9TFCh. 13 - Prob. 10TF
Ch. 13 - Prob. 1MCCh. 13 - Prob. 2MCCh. 13 - Prob. 3MCCh. 13 - Prob. 4MCCh. 13 - Prob. 5MCCh. 13 - Prob. 6MCCh. 13 - Prob. 7MCCh. 13 - Prob. 8MCCh. 13 - Prob. 9MCCh. 13 - Prob. 10MCCh. 13 - Prob. 1DCh. 13 - Prob. 2DCh. 13 - Prob. 3DCh. 13 - Prob. 4DCh. 13 - Prob. 5DCh. 13 - Prob. 1PECh. 13 - Prob. 2PECh. 13 - Prob. 3PECh. 13 - Prob. 4PECh. 13 - Prob. 5PECh. 13 - Prob. 6PECh. 13 - Prob. 7PE
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- When applied to the world of computer programming, does the old saying "Resist the temptation to code" have any significance at all?arrow_forwardProgramming is communication; the programmer “explains” to a computer how to carry out a task, with the explanation being the program. Can you think of any cases where communication directed to people uses direct or indirect recursion? Are there cases where such a use of recursion is indispensable?arrow_forwardRECURSIVE PYTHON The Fibonacci sequence begins with 0 and then 1 follows. All subsequent values are the sum of the previous two, for example: 0, 1, 1, 2, 3, 5, 8, 13. Complete the fibonacci() function, which takes in an index, n, and returns the nth value in the sequence. Any negative index values should return -1. Ex: If the input is: 7 the output is: fibonacci(7) is 13 Note: Use recursion and DO NOT use any loops. # TODO: Write recursive fibonacci() functiondef fibonacci(): if __name__ == "__main__": start_num = int(input()) print('fibonacci({}) is {}'.format(start_num, fibonacci(start_num)))arrow_forward
- To what extent does the phrase "resist the impulse to code" apply to computer programming?arrow_forwardMost programming languages support a number of Iterative and/or Recursive constructs, such as loops (e.g., For, While, Do…While, Loop…Until, Label…Return, Goto…Return, etc.) and recursion (e.g., recursive functions, recursive statements). Choose a programming language that supports at least one of the above, and specify the chosen programming language and the chosen construct. 1- Design a Non-deterministic Finite Automata (NFA) for the syntax of the chosen construct. Note that the NFA must cover the generic syntax of the construct, and not be limited to just a specific sample code. The syntax covers all valid code for the construct, hence the NFA must accept all valid code, whilst rejecting all invalid code.arrow_forwardMost programming languages support a number of Iterative and/or Recursive constructs, such as loops (e.g., For, While, Do…While, Loop…Until, Label…Return, Goto…Return, etc.) and recursion (e.g., recursive functions, recursive statements). Choose a programming language that supports at least one of the above, and specify the chosen programming language and the chosen construct. here I choose: (while...do loop of F# programming language) the question is : Design a Non-deterministic Finite Automata (NFA) for the syntax of the chosen construct above which is (while...do loop of F# programming language). with transition table for that. Note: that the NFA must cover the generic syntax of the construct, and not be limited to just a specific sample code. The syntax covers all valid code for the construct, hence the NFA must accept all valid code, whilst rejecting all invalid code.arrow_forward
- A recursive function is a function defined in terms of itself via self-referential expressions. This means that the function will continue to call itself and repeat its behavior until some condition is met to return a result. a- Write a python recursive function prod that takes x as an argument, and returns the result where, result=1*1/2*1/3*….*1/n b- Include a screenshot that shows a python program that uses the above function and prints the rounded result to three decimal places after prompting the user to enter a number, x. Use x=3. N.B: The code should be included in your answer.arrow_forwardCan you explain how the Structured Programming Theorem helps to clarify the GOTO confusion and spaghetti code? Write an essay of suitable length using just your own words.arrow_forwardFind the complexity of the program below.arrow_forward
- The mathematical functions introduced in Chapter 4 can be used to compute and simulate engineering and scientific issues. In these cases, we formulate the mathematical issue and then use the computer to perform computations and simulations. Can a computer programme solve a math problem and develop mathematical formulas, i.e., can it perform the functions of a mathematician?arrow_forwardSelect the correct answer for the question below: Dynamic programming is an algorithm pattern ... 1.Is not applicable to algorithms which use recursion. 2.That is applicable to almost every set of circumstances and can be widely implemented. 3.That is applicable to only a narrow range of circumstances. 4.Offers poor efficiency gains, when applicable.arrow_forwardIt would be better to use a heuristic, rather than an algorithm, to solve a problem: when there are an infinite number of possible solutions when it is necessary to produce an answer that is extremely precise when there are no time constraints for finding a solution to the problem when the problem involves mathematical calculationsarrow_forward
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