Algorithms in Java, Coded and Tested

Solve Any Maze with Proven Algorithms

Bianca Zielinski

• Publisher: Chiify
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9798259604681
• Subtopic: Programming
• Index: Computer Science

Are you ready to master core algorithms in Java? Do you want to code, test, and optimize sorting, searching, graph algorithms, and dynamic programming with runnable implementations? Algorithms in Java, Coded and Tested is your practical, hands-on guide from beginner to pro. Bianca Zielinski walks you through each algorithm step-by-step, with clear Java code that you can run and modify. This book focuses on real-world performance: you'll learn to analyze time and space complexity, avoid common pitfalls, and fine-tune your solutions for speed and efficiency. What You'll Build and Test Sorting algorithms: quicksort, mergesort, heapsort, and more Searching techniques: binary search, interpolation search, and hash-based lookups Graph algorithms: BFS, DFS, Dijkstra, A*, and minimum spanning trees Dynamic programming: knapSack, Fibonacci, longest common subsequence, and optimal pathfinding Every algorithm is accompanied by a runnable Java test harness, so you can see results immediately and experiment with edge cases. You'll also learn how to benchmark your code and identify bottlenecks using Java's profiling tools. By the end, you'll have a reusable library of optimized algorithms and the confidence to tackle any coding interview or project. Unlike abstract theory books, this one is all about doing. Each chapter ends with coding challenges and optimization exercises. Bianca Zielinski's approach is perfect for self-taught programmers, bootcamp graduates, and computer science students who want to bridge the gap between classroom concepts and real-world performance. Whether you're preparing for technical interviews or building high-performance applications, this book delivers actionable knowledge. Competing with the likes of [placeholder], this book stands out by providing tested, ready-to-run Java code for every algorithm. No fluff—just code, tests, and optimization tips that work.

Table of contents

• Algorithms in Java, Coded and Tested
• Algorithms in Java, Coded and Tested
• Preface
• Chapter 1 — Setting the Stage - Your Pathfinding Project
• Chapter 2 — Measuring Efficiency - Complexity Analysis
• Chapter 3 — Essential Data Structures for Mazes
• Chapter 4 — Recursive Thinking - Exploring the Maze
• Chapter 5 — Backtracking - Finding All Paths
• Chapter 6 — Divide and Conquer - Splitting the Maze
• Chapter 7 — Dynamic Programming - Counting Routes
• Chapter 8 — Dynamic Programming - Shortest Path with Costs
• Chapter 9 — Greedy Algorithms - Heuristic Search
• Chapter 10 — Graph Traversals - BFS and Dijkstra
• Chapter 11 — Advanced Graph Algorithms - Maze Generation
• Chapter 12 — Optimizing with Caching and Memoization
• Chapter 13 — Concurrency - Parallel Maze Solving
• Chapter 14 — Testing and Debugging Your Solver
• Chapter 15 — Visualization and User Interface
• Chapter 16 — Real-World Extensions - 3D Mazes and More
• Chapter 17 — Interview Prep - Maze Problems in Tech Interviews
• Chapter 18 — Final Integration - The Complete Maze Solver Application
• About the Author