<div><p>Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of<em>Algorithms in a Nutshell</em> 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.</p><p>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.</p><p>With this book, you will:</p><ul><li>Solve a particular coding problem or improve on the performance of an existing solution</li><li>Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use</li><li>Get algorithmic solutions in C, C&#43;&#43;, Java, and Ruby with implementation tips</li><li>Learn the expected performance of an algorithm, and the conditions it needs to perform at its best</li><li>Discover the impact that similar design decisions have on different algorithms</li><li>Learn advanced data structures to improve the efficiency of algorithms</li></ul></div>