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Algorithms Notes for Professionals

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Description

Getting started with algorithms, Algorithm Complexity, Big-O Notation, Trees, Binary Search Trees, Check if a tree is BST or not, Binary Tree traversals, Lowest common ancestor of a Binary Tree, Graph, Graph Traversals, Dijkstra’s Algorithm, A* Pathfin

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Topic Data Structures and Algorithms

This tutorial focuses on algorithms, which are step-by-step procedures or formulas for solving problems. The course likely covers various types of algorithms, their design, analysis, and implementation. It may include topics such as sorting, searching, graph algorithms, dynamic programming, and complexity analysis, providing a comprehensive overview of algorithmic concepts and techniques.

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Benefits

  • Professional-level content tailored for those in the field
  • Comprehensive coverage of algorithm topics
  • Practical notes format for easy reference
  • Potential for in-depth explanations of complex algorithmic concepts
  • Likely includes code examples and practical applications
  • May serve as a valuable resource for both learning and quick lookup