algorithm problem solving example - PrivacyWall

https://www.geeksforgeeks.org/how-to-use-algorithms-to-solve-prob...

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How to Use Algorithms to Solve Problems? - GeeksforGeeks

There are some basics steps to make an algorithm: Input - Take the input for values in which the algorithm will execute. Conditions - Perform some conditions on the inputs to get the desired output. Output - Printing the outputs. End - End the execution. Let's take some examples of algorithms for computer science problems. Example 1.

https://hackernoon.com/data-structures-and-algorithms-20-problem-...

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Data Structures and Algorithms: 20 Problem-Solving Techniques

Given an array of integers that is already sorted in ascending order, find two numbers such that they add up to a specific target number. The function twoSum should return indices of the two numbers such that they add up to the target, where index1 must be less than index2. Notes: Your returned answers (both index1 and index2) are not zero-based.

https://nerdleveltech.com/how-to-solve-an-algorithm-problem-with-...

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How to Solve an Algorithm Problem? | With Examples

When solving an algorithm problem, it is important to understand the problem and the steps involved in solving it. This understanding will allow you to correctly follow the instructions and complete the task. Answer the common questions to be sure that you really understand the problem.

https://www.brainkart.com/article/Fundamentals-of-Algorithmic-Pro...

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Fundamentals of Algorithmic Problem Solving - BrainKart

From a practical perspective, the first thing you need to do before designing an algorithm is to understand completely the problem given. Read the problem’s description carefully and ask questions if you have any doubts about the problem, do a few small examples by hand, think about special cases, and ask questions again if needed.

https://www.enjoyalgorithms.com/blog/problem-solving-approaches-i...

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Problem-Solving Approaches in Data Structures and Algorithms

Example problems: Euclid algorithm of finding GCD, Binary Search, Josephus problem. When an array has some order property similar to the sorted array, we can use the binary search idea to solve several searching problems efficiently in O (logn) time complexity.

http://sofia.cs.vt.edu/cs1114-ebooklet/chapter4.html

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4. Problem Solving and Algorithms - Virginia Tech

Every problem solution starts with a plan. That plan is called an algorithm. An algorithm is a plan for solving a problem. There are many ways to write an algorithm. Some are very informal, some are quite formal and mathematical in nature, and some are quite graphical.

https://dev.to/moresaltmorelemon/algorithm-problem-solving-strate...

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Algorithm Problem Solving Strategies - DEV Community

Practicing algorithm challenges will improve your broader problem solving abilities, as well as cement a problem solving process that is more generically useful. Much like other types of puzzles, there are strategies that give you an early foothold into the problem and a way to break it down into smaller, more approachable chunks.

https://www.comp.nus.edu.sg/~cs1101x/4_misc/jumpstart/chap3.pdf

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Chapter 3: Algorithmic Problem Solving - National University of Singapore

In algorithmic problem solving, we deal with objects. Objects are data manipulated by the algorithm. To a cook, the objects are the various types of vegetables, meat and sauce. In algorithms, the data are numbers, words, lists, files, and so on. In solving a geometry problem, the data can be the length of.

https://computersciencementor.com/algorithm-and-flowchart/

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Algorithm and flowchart explained with examples

Programmer commonly uses an algorithm for planning and solving the problems. An algorithm is a specific set of meaningful instructions written in a specific order for carrying out or solving a specific problem. Loading... The algorithm and flowchart are classified into three types of control structures.

https://notes.papacambridge.com/directories/CAIE/CAIE-notes/uploa...

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Computer Science 2210 (Notes) Chapter: 2.1 Algorithm design and problem ...

Chapter: 2.1 Algorithm design and problem-solving Topic: 2.1.1 Problem-solving and design Algorithms should be evaluated using the following criteria: 1. Efficiency 2. Correctness 3. Appropriateness Efficiency An algorithm’s efficiency can be judged in terms of: Speed: How quick the algorithm produces the required output.

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