introduction to algorithms 3rd edition mit press

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Introduction To Algorithms

Author : Thomas H. Cormen
ISBN : 9780262533058
Genre : Computers
File Size : 63. 89 MB
Format : PDF, Mobi
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A new edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow.

Introduction To Algorithms

Author : Thomas H Cormen
ISBN : 0262032937
Genre : Computers
File Size : 49. 93 MB
Format : PDF
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An extensively revised edition of a mathematically rigorous yet accessible introduction to algorithms.

Algorithms Unlocked

Author : Thomas H. Cormen
ISBN : 9780262313230
Genre : Computers
File Size : 68. 53 MB
Format : PDF, ePub
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Have you ever wondered how your GPS can find the fastest way to your destination, selecting one route from seemingly countless possibilities in mere seconds? How your credit card account number is protected when you make a purchase over the Internet? The answer is algorithms. And how do these mathematical formulations translate themselves into your GPS, your laptop, or your smart phone? This book offers an engagingly written guide to the basics of computer algorithms. In Algorithms Unlocked, Thomas Cormen -- coauthor of the leading college textbook on the subject -- provides a general explanation, with limited mathematics, of how algorithms enable computers to solve problems. Readers will learn what computer algorithms are, how to describe them, and how to evaluate them. They will discover simple ways to search for information in a computer; methods for rearranging information in a computer into a prescribed order ("sorting"); how to solve basic problems that can be modeled in a computer with a mathematical structure called a "graph" (useful for modeling road networks, dependencies among tasks, and financial relationships); how to solve problems that ask questions about strings of characters such as DNA structures; the basic principles behind cryptography; fundamentals of data compression; and even that there are some problems that no one has figured out how to solve on a computer in a reasonable amount of time.

Introduction To Machine Learning

Author : Ethem Alpaydin
ISBN : 9780262028189
Genre : Computers
File Size : 38. 56 MB
Format : PDF, Mobi
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The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. Subjects include supervised learning; Bayesian decision theory; parametric, semi-parametric, and nonparametric methods; multivariate analysis; hidden Markov models; reinforcement learning; kernel machines; graphical models; Bayesian estimation; and statistical testing.Machine learning is rapidly becoming a skill that computer science students must master before graduation. The third edition of Introduction to Machine Learning reflects this shift, with added support for beginners, including selected solutions for exercises and additional example data sets (with code available online). Other substantial changes include discussions of outlier detection; ranking algorithms for perceptrons and support vector machines; matrix decomposition and spectral methods; distance estimation; new kernel algorithms; deep learning in multilayered perceptrons; and the nonparametric approach to Bayesian methods. All learning algorithms are explained so that students can easily move from the equations in the book to a computer program. The book can be used by both advanced undergraduates and graduate students. It will also be of interest to professionals who are concerned with the application of machine learning methods.

Algorithms

Author : Robert Sedgewick
ISBN : 9780321573513
Genre : Computers
File Size : 86. 14 MB
Format : PDF, Kindle
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The standard algorithm guide for working programmers -- now fully updated, broadened, and available again in a popular single-volume format • •The #1 practical resource for everyone seeking to run programs faster or solve larger problems. •Surveys today's most useful algorithms, with copious illustrations and examples. •Contains many new examples, ranging from physics, biology, and engineering to data compression and web search. •Contains real (not psuedocode) implementations, with detailed performance insights. Robert Sedgewick's Algorithm's has long been the definitive practical guide to using algorithms: the book that professionals and students in programming, science, and engineering rely on to solve real-world problems. Now, Sedgewick has thoroughly updated this classic to reflect today's latest, most powerful algorithms - and we've returned to the popular single-volume format our readers have been asking for. Sedgewick brings together an indispensable body of knowledge for improving computer performance and solving larger problems. In this edition, he adds: • •Many powerful new algorithms. •A broader perspective with more science and engineering applications. •New illustrations and examples throughout. •An attractive new two-color design, and more The algorithms Sedgewick presents are crucial in areas ranging from physics simulation to genetic sequencing, architectural modeling to aircraft simulation, database management to Internet search. He covers abstract data types, sorting algorithms, searching algorithms, graph processing, string processing, and geometric algorithms. Algorithms provides all the information readers need to confidently implement, debug, and apply each algorithm in any computational environment. For each, Sedgewick presents real implementations, as well as detailed insights into performance. All examples are written in Java, in a style that can be rapidly and easily translated to other languages.

The Algorithm Design Manual

Author : Steven S Skiena
ISBN : 9781848000704
Genre : Computers
File Size : 69. 28 MB
Format : PDF, Docs
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This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them • Includes several NEW "war stories" relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java

Real World Algorithms

Author : Panos Louridas
ISBN : 9780262035705
Genre : Computers
File Size : 70. 87 MB
Format : PDF, Docs
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An introduction to algorithms for readers with no background in advanced mathematics or computer science, emphasizing examples and real-world problems.

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