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  1. Practice Problems | Introduction to Algorithms - MIT OpenCourseWare

    Practice problems and solutions for 6.006 Introduction to Algorithms.

  2. Algorithm Practice Question for Beginners | Set 1

    Oct 29, 2015 · Companies often ask questions that require problem-solving skills. In this article, we'll look at the top 10 algorithms commonly used in interviews. Each algorithm is like a …

  3. 500 Data Structures and Algorithms practice problems and …

    Oct 14, 2017 · Array. Find pair with given sum in the array. Find sub-array with 0 sum. Sort binary array in linear time Find a duplicate element in a limited range array Find largest sub-array …

  4. 3.5: Sample Algorithms by Problem - Engineering LibreTexts

    Apr 22, 2025 · In this section, we will introduce canonical problems and survey canonical algorithms for each problem. Data structure problems are not only useful for implementing …

  5. Data Structures and Algorithms Problems - Techie Delight

    Huge collection of data structures and algorithms problems on various topics like arrays, dynamic programming, linked lists, graphs, heap, bit manipulation, strings, stack, queue, backtracking, …

  6. Solved Assignment Problems – Algorithms and Flowcharts

    Oct 8, 2020 · An algorithm is defined as sequence of steps to solve a problem (task). A flowchart is pictorial (graphical) representation of an algorithm . Set of instructions.

  7. 4. Problem Solving and Algorithms - Virginia Tech

    We can use an everyday example to demonstrate a high-level algorithm. Problem: I need a send a birthday card to my brother, Mark. Analysis: I don't have a card.

  8. The World's Leading Online Programming Learning Platform - LeetCode

    Level up your coding skills and quickly land a job. This is the best place to expand your knowledge and get prepared for your next interview.

  9. Example Solution: int arraySum(A, B, n) f for( int i = 0; i < n; i++ ) f A[ i ] = A[ i ] + B[ i ] ; g return A; g Exercise 2.2.

  10. algorithms will choose the left-most node first. Starting from the green node at the top, which algorithm will visit the least number of nodes before visiting the yellow goal node?

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