Algorithms in a Nutshell: A Desktop Quick Reference

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of __Algorithms in a Nutshell__ describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs—with just enough math to let you understand and analyze algorithm performance. With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate. With this book, you will: * Solve a particular coding problem or improve on the performance of an existing solution * Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use * Get algorithmic solutions in C, C++, Java, and Ruby with implementation tips * Learn the expected performance of an algorithm, and the conditions it needs to perform at its best * Discover the impact that similar design decisions have on different algorithms * Learn advanced data structures to improve the efficiency of algorithms With Early Release ebooks, you get books in their earliest form—the author鈥檚 raw and unedited content as he or she writes—so you can take advantage of these technologies long before the official release of these titles. You鈥檒l also receive updates when significant changes are made, new chapters are available, and the final ebook bundle is released. Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs—with just enough math to let you understand and analyze algorithm performance. With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate. With this book, you will: Solve a particular coding problem or improve on the performance of an existing solution Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use Get algorithmic solutions in C, C++, Java, and Ruby with implementation tips Learn the expected performance of an algorithm, and the conditions it needs to perform at its best Discover the impact that similar design decisions have on different algorithms Learn advanced data structures to improve the efficiency of algorithms COMPUTERS / Programming / Algorithms This book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate-- Source other than Library of Congress Thinking in algorithms The mathematics of algorithms Algorithm building blocks Sorting algorithms Searching Graph algorithms Path finding in AI Network flow algorithms Computational geometry Spatial tree structures Emerging algorithm categories Epilogue: Principles of algorithms Benchmarking.