Knapsack Problem Variants
Master the 0/1, unbounded, and fractional knapsack variants with DP solutions and optimization techniques for resource allocation problems.
Master the 0/1, unbounded, and fractional knapsack variants with DP solutions and optimization techniques for resource allocation problems.
Find strongly connected components using the two-pass Kosaraju's algorithm with graph transpose and DFS finishing times.
Learn Kruskal's algorithm for finding minimum spanning trees in weighted graphs using union-find data structures.
Compare linear and binary search algorithms, understand when to use each variant, and master binary search for production systems.
Master linked list operations including insertion, deletion, reversal, cycle detection, and knowing when to use singly, doubly, or circular variants.
Master the classic DP problem for string similarity, diff tools, and bioinformatics with O(mn) time and space optimization techniques.
Find the longest strictly increasing subsequence in O(n log n) time using patience sorting and binary search techniques.
Understand the two fundamental DP approaches—top-down with memoization and bottom-up with tabulation—plus hybrid techniques like the/m on the fly.
How to simulate real interview conditions, get feedback, and improve systematically using self-assessment and peer practice.
Master pointer arithmetic, memory layout, stack vs heap allocation, and common memory bugs in C/C++ and systems programming.