21 docs tagged with "dsa"

A comprehensive 20-week guide to mastering Data Structures and Algorithms in Java, designed for backend engineers and technical interviews.

Master contiguous memory structures in Java, including static arrays and string immutability, and optimize range queries using the Prefix Sum pattern.

Master the art of recursive thinking and the 'Choose-Explore-Unchoose' pattern. Learn to solve complex combinatorial problems like permutations, combinations, and grid-based searches in Java.

Master scheduling problems, overlapping events, and the Sweep Line algorithm. Learn how to efficiently sort and process 2D arrays and objects in Java.

Conclude Phase 3 by mastering dynamic extremum tracking and locally optimal choices. Dive deep into Java's PriorityQueue, Top K patterns, and Greedy state transitions.

Enter Phase 4 by conquering Dynamic Programming. Learn to identify overlapping subproblems and map recursion to bottom-up tabulation and memoization in Java.

Master multi-dimensional Dynamic Programming. Learn to solve Grid Traversals, String Alignments (LCS, Edit Distance), and 2D space optimization in Java.

Master the variable-size sliding window pattern in Java. Learn to dynamically expand and shrink boundaries to solve complex substring, subarray, and stream processing problems.

Master the Trie data structure for lightning-fast string manipulation. Learn to build Autocomplete systems, handle wildcard searches, and optimize multi-word grid searches in Java.

Begin Phase 5 by conquering weighted graphs. Master Dijkstra's Algorithm for finding the shortest path and Prim's Algorithm for building Minimum Spanning Trees in Java.

Master the Disjoint Set Union (DSU) data structure. Learn how to dynamically track connected components and optimize with Path Compression and Union by Rank in Java.

Shift from high-level data structures to low-level CPU operations. Master XOR properties, Bit Masking, signed vs. unsigned shifts, and core Number Theory in Java.

Master the Two Pointers and fixed-size Sliding Window techniques in Java to optimize nested loops and achieve O(N) time complexity for array and string traversals.

The final week! Synthesize all DSA patterns, map abstract data structures to real-world Java backend systems, and master technical interview communication.

Transition from contiguous arrays to node-based data structures. Master reference manipulation, Dummy Nodes, and the Fast & Slow Pointer technique in Java.

Master Hash Maps and Hash Sets in Java. Learn about O(1) lookups, collision resolution, frequency counting, and the equals() and hashCode() contract.

Transition to Phase 2 by mastering LIFO and FIFO data structures. Learn why to avoid Java's legacy Stack class and dive deep into the highly-tested Monotonic Stack pattern.

Move from linear to hierarchical data structures. Master Depth-First Search (DFS), Breadth-First Search (BFS), and the properties of Binary Search Trees in Java.

Transition from trees to general networks. Master graph representations, Adjacency Lists, and grid-based DFS/BFS traversals in Java.

Master Directed Acyclic Graphs (DAGs), cycle detection in directed graphs, and dependency resolution using Kahn's Algorithm (Topological Sort) in Java.

Start Phase 3 by mastering logarithmic time complexity. Learn standard Binary Search, handling rotated arrays, and the advanced "Binary Search on Answer Space" pattern in Java.