Beginning Algorithms A good understanding of algorithms, and the knowledge of when to apply them, is crucial to producing software that not only works correctly, but also performs efficiently. This is the only book to impart all this essential information-from the basics of algorithms, data structures, and performance characteristics to the specific algorithms used in development and programming tasks. Packed with detailed explanations and instructive examples, the book begins by offering you some fundamental data structures and then goes on to explain various sorting algorithms. You'll then learn efficient practices for storing and searching by way of hashing, trees, sets, and maps. The authors also share tips on optimization techniques and ways to avoid common performance pitfalls. In the end, you'll be prepared to build the algorithms and data structures most commonly encountered in day-to-day software development. What you will learn from this book The basics of algorithms, such as iteration and recursion Elementary data structures such as lists, stacks, and queues Basic and advanced sorting algorithms including insertion sort, quicksort, and shell sort Advanced data structures such as binary trees, ternary trees, and heaps Algorithms for string searching, string matching, hashing, and computational geometry How to use test-driven development techniques to ensure your code works as intended How to dramatically improve the performance of your code with hands-on techniques for profiling and optimization Who this book is for This book is for anyone who develops applications, or is just beginning to do so, and is looking to understand algorithms and data structures. An understanding of computer programming is beneficial. Wrox Beginning guides are crafted to make learning programming languages and technologies easier than you think, providing a structured, tutorial format that will guide you through all the techniques involved.

Beginning AlgorithmsA good understanding of algorithms, and the knowledge of when toapply them, is crucial to producing software that not only workscorrectly, but also performs efficiently. This is the only book toimpart all this essential information-from the basics ofalgorithms, data structures, and performance characteristics to thespecific algorithms used in development and programming tasks.Packed with detailed explanations and instructive examples, thebook begins by offering you some fundamental data structures andthen goes on to explain various sorting algorithms. You'll thenlearn efficient practices for storing and searching by way ofhashing, trees, sets, and maps. The authors also share tips onoptimization techniques and ways to avoid common performancepitfalls. In the end, you'll be prepared to build the algorithmsand data structures most commonly encountered in day-to-daysoftware development.What you will learn from this book* The basics of algorithms, such as iteration and recursion* Elementary data structures such as lists, stacks, andqueues* Basic and advanced sorting algorithms including insertion sortquicksort, and shell sort* Advanced data structures such as binary trees, ternary treesand heaps* Algorithms for string searching, string matching, hashing, andcomputational geometry* How to use test-driven development techniques to ensure yourcode works as intended* How to dramatically improve the performance of your code withhands-on techniques for profiling and optimizationWho this book is forThis book is for anyone who develops applications, or is justbeginning to do so, and is looking to understand algorithms anddata structures. An understanding of computer programming isbeneficial.Wrox Beginning guides are crafted to make learning programminglanguages and technologies easier than you think, providing astructured, tutorial format that will guide you through all thetechniques involved.

Acknowledgments.Introduction.Chapter 1: Getting Started.Chapter 2: Iteration and Recursion.Chapter 3: Lists.Chapter 4: Queues.Chapter 5: Stacks.Chapter 6: Basic Sorting.Chapter 7: Advanced Sorting.Chapter 8: Priority Queues.Chapter 9: Binary Searching and Insertion.Chapter 10: Binary Search Trees.Chapter 11: Hashing.Chapter 12: Sets.Chapter 13: Maps.Chapter 14: Ternary Search Trees.Chapter 15: B-Trees.Chapter 16: String Searching.Chapter 17: String Matching.Chapter 18: Computational Geometry.Chapter 19: Pragmatic Optimization.Appendix A: Further Reading.Appendix B: Resources.Appendix C: Bibliography.Appendix D: Answers to Exercises.Index.