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This online course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming.
We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).
Welcome to your second programming assignment of the Algorithmic Toolbox class! It consists of seven algorithmic problems. The first three problems require you just to implement carefully the algorithms covered in the lectures. The remaining four problems will require you to first design an algorithm and then to implement it. For all the problems, we provide starter solutions in C++, Java, and Python3.
These solutions implement straightforward naive algorithms that turn out to be slow. To verify this, you may want to submit these solutions to the grader. This will usually give you a “time limit exceeded” message for Python starter files and either “time limit exceeded” or “wrong answer” message for C++ and Java solutions (the reason for wrong answer being an integer overflow issue). Your goal is to replace a naive algorithm with an efficient one.
In this programming assignment, the grader will show you the input and output data if your solution fails on any of the tests. This is done to help you to get used to the algorithmic problems in general and get some experience debugging your programs while knowing exactly on which tests they fail. However, for all the following programming assignments, the grader will show the input data only in case your solution fails on one of the first few tests.
Recall that problem statements and starter files can be found in the first programming assignment.
# Python3 n = int(input()) if n<=1: print(n) quit() def fibo(n): a, b = 0, 1 for _ in range(n-1): c = a + b b, a = c, b print(c) fibo(n)
When you’re ready to submit, you can upload files for each part of the assignment on the “My submissions” tab.
In our experience, we suggest you enroll in Algorithmic Toolbox Course and gain some new skills from Professionals completely free and we assure you will be worth it.
Algorithmic Toolbox course is available on Coursera for free, if you are stuck anywhere between quiz or graded assessment quiz, just visit Queslers for Peer Graded Solution and Networking Funda to get Algorithmic Toolbox Quiz Answers.
I hope this Programming Assignment 2: Algorithmic Warm-up Solution would be useful for you to learn something new from this Course. If it helped you then don’t forget to bookmark our site for more Coursera Quiz Answers.
This course is intended for audiences of all experiences who are interested in learning about new skills in a business context; there are no prerequisite courses.
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