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stephens r essential algorithms code 2013

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Textbook in PDF format Algorithms are the recipes that make efficient programming possible. They explain how to sort records, search for items, calculate numeric values such as prime factors, find the shortest path between two points in a street network, and determine the maximum flow of information possible through a communications network. The difference between using a good algorithm and a bad one can mean the difference between solving a problem in seconds, hours, or never. Studying algorithms lets you build a useful toolkit of methods for solving specific problems. It lets you understand which algorithms are most effective under different circumstances so that you can pick the one best suited for a particular program. An algorithm that provides excellent performance with one set of data may perform terribly with other data, so it is important that you know how to pick the algorithm that is the best match for your scenario. Even more important, by studying algorithms you can learn general problem-solving techniques that you can apply to other problems even if none of the algorithms you already know is a perfect fit for your current situation. These techniques let you look at new problems in different ways so that you can create and analyze your own algorithms to solve your problems and meet unanticipated needs. In addition to helping you solve problems while on the job, these techniques may even help you land the job where you can use them! Many large technology companies, such as Microsoft, Google, Yahoo!, IBM, and others, want their programmers to understand algorithms and the related problem-solving techniques. Some of these companies are notorious for making job applicants work through algorithmic programming and logic puzzles during interviews. The better interviewers don't necessarily expect you to solve every puzzle. In fact, they will probably learn more when you don't solve a puzzle. Rather than wanting to know the answer, the best interviewers want to see how you approach an unfamiliar problem. They want to see whether you throw up your hands and say the problem is unreasonable in a job interview. Or perhaps you analyze the problem and come up with a promising line of reasoning for using algorithmic approaches to attack the problem. Gosh, I don't know. Maybe I'd search the Internet, would be a bad answer. It seems like a recursive divide-and-conquer approach might work would be a much better answer. This book is an easy-to-read introduction to computer algorithms. It describes a number of important classical algorithms and tells when each is appropriate. It explains how to analyze algorithms to understand their behavior. Most importantly, it teaches techniques that you can use to create new algorithms on your own. Algorithm Basics Algorithms Linked Lists Arrays Stacks and Queues Sorting Searching Hash Tables Recursion Trees Balanced Trees Decision Trees Basic Network Algorithms More Network Algorithms String Algorithms Cryptography Complexity Theory Distributed Algorithms Interview Puzzles A Summay of Algorithmic Concepts B Solutions to Exercises

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stephens r essential algorithms code 2013

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