Depth-Limited & Bidirectional Search
Explore search algorithm variants: depth-limited search for bounded recursion, and bidirectional search for O(b^d/2) complexity improvement.
Explore search algorithm variants: depth-limited search for bounded recursion, and bidirectional search for O(b^d/2) complexity improvement.
Learn depth-limited search (DLS) for handling infinite state spaces with a depth bound, and how it relates to iterative deepening.
Master Dijkstra's algorithm for single-source shortest path problems in weighted graphs with positive edges, including implementations and trade-offs.
Master the divide and conquer paradigm with classic examples like merge sort, quicksort, and binary search.
Apply dynamic programming to tree and graph structures using DFS-based state propagation for optimal subtree and path calculations.
Learn how to identify optimal substructure, define DP state variables, and formulate recurrence relations correctly.
Master dynamic programming fundamentals including memoization, tabulation, and how to identify DP subproblems.
Solve the minimum edit distance problem using dynamic programming with applications in spell checking, DNA alignment, and autocomplete.
Strategic approach to preparing for technical interviews at top tech companies including Amazon, Google, Microsoft, and Meta.
Master Fenwick trees (binary indexed trees) for O(log n) prefix sum queries and point updates. Learn the elegant bit-trick implementation and when to choose BIT over segment trees.