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Theory of Coding

Theory of Coding

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  • Home
  • Data Structures
    • Graphs
      • Graph Theory Basics
      • Breadth First Search Algorithm
      • Snakes and Ladders Game Code
      • Depth First Search Algorithm
      • Bellman Ford Algorithm
      • Prim’s Algorithm
      • Dijkstra’s Algorithm
    • Trees
      • Binary Indexed Tree (or) Fenwick Tree
      • Trie Tree
      • Compressed Trie Tree
      • N-ary tree or K-way tree data structure
      • Segment Trees
      • Binary Heaps
      • Binary Heaps and Heapsort Algorithm
  • Algorithms
    • Searching & Sorting
      • Binary Search
      • Jump Search
      • Quick Sort
      • Merge Sort
    • Dynamic Programming
      • Introduction and Fibonacci Numbers
      • Kadane’s Algorithm
      • Edit Distance
    • Math
      • Modular Arithmetic Properties
  • AI
    • MiniMax Algorithm
    • Minimax algorithm with Alpha-Beta Pruning
    • Iterative Deepening Depth First Search
    • Bidirectional Search
  • Java
    • Language Basics
      • An Introduction
      • Data Types, Input and Operators
      • If Else, Switch and Loops
      • Strings, StringBuffer and StringBuilder
      • Arrays in Java
      • Enum and Methods in Java
    • Introduction to OOP
      • Java Tutorials – Classes and Objects
      • Encapsulation in Java
      • Constructor and Overloading Methods
      • Inheritance
Theory of Coding

Theory of Coding

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Tag: Artificial Intelligence

21 January 2018Artificial Intelligence

Bidirectional Search

Hello people! In this post we will talk about Bidirectional Search, a powerful search strategy which can be used if you have […]

14 January 2018Artificial Intelligence

Iterative Deepening Depth First Search (IDDFS)

Hello people! In this post we will talk about another search algorithm Iterative deepening depth first search (IDDFS) or Iterative deepening search […]

24 December 2017Artificial Intelligence

Minimax algorithm with Alpha-Beta Pruning

Improve the performance of Minimax algorithm by applying Alpha-Beta Pruning. Alpha-beta pruning is based on the Branch and bound algorithm design paradigm where we discard any decision which cannot possibly yield a better solution than the one we have so far.

12 December 201720 November 2023Artificial Intelligence

MiniMax Algorithm

Hello people! In this post we will look at one of the most basic Artificial Intelligence algorithm, the MiniMax algorithm. MiniMax algorithm […]

Recent Posts

  • Bidirectional Search
  • Iterative Deepening Depth First Search (IDDFS)
  • N-ary tree or K-way tree data structure
  • Rotate matrix clockwise
  • Print matrix in spiral order

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