Comprehensive Guide to Search Algorithms in Computer Science
Depth-First Search (DFS)
DFS explores as far as possible along each branch before backtracking. It's implemented using recursion or a stack.
def dfs(graph, node, visited):
if node not in visited:
visited.add(node)
for neighbor in graph[node]:
dfs(graph, neighbor, visited)
Applications
Maze Solving: DFS can find ...
Posted on Fri, 26 Jun 2026 17:06:15 +0000 by ericw
Dynamic Programming Fundamentals and Applications
Linear DP
Core Concepts
Dynamic Programming (DP) solves complex problems by breaking them in to overlapping subproblems. The solution to the main problem is derived from solutions to these subproblems.
State Representation
State are typically represented as dp[i][j] = value, where i and j are indices or variables describing the state, and value ...
Posted on Thu, 28 May 2026 20:03:56 +0000 by d3ad1ysp0rk
Understanding Array Data Structures: Operations and Performance
An array represents a linear data structure that utilizes a contiguous block of memory to store elements of the same data type. Linear Data Structures
Linear data structures organize elements in a sequential manner where each element has at most one predecessor and one successor. Besides arrays, common linear structures include linked lists, qu ...
Posted on Sun, 10 May 2026 09:50:42 +0000 by Smiffy
Dynamic Programming Fundamentals and Problem-Solving Strategies
Overview
Dynamic programming represents an algorithmic approach that solves complex computational problems by breaking them down into simpler, overlapping subproblems. This methodology leverages previously computed solutions to avoid redundant calculations.
When to Apply Dynamic Programming
Dynamic programming becomes applicable when a problem ...
Posted on Fri, 08 May 2026 07:33:12 +0000 by abhilashdas