introduction to algorithms 3rd edition mit press

Download Book Introduction To Algorithms 3rd Edition Mit Press in PDF format. You can Read Online Introduction To Algorithms 3rd Edition Mit Press here in PDF, EPUB, Mobi or Docx formats.

Introduction To Algorithms

Author : Thomas H Cormen
ISBN : 0262032937
Genre : Computers
File Size : 55. 87 MB
Format : PDF, Docs
Download : 109
Read : 339

Get This Book


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 : 22. 14 MB
Format : PDF, ePub
Download : 850
Read : 262

Get This Book


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.

The Algorithm Design Manual

Author : Steven S Skiena
ISBN : 9781848000704
Genre : Computers
File Size : 67. 52 MB
Format : PDF, Mobi
Download : 429
Read : 682

Get This Book


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

Introduction To Machine Learning

Author : Ethem Alpaydin
ISBN : 9780262028189
Genre : Computers
File Size : 34. 48 MB
Format : PDF, Docs
Download : 164
Read : 750

Get This Book


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 : 75. 18 MB
Format : PDF, Mobi
Download : 423
Read : 356

Get This Book


Essential Information about Algorithms and Data Structures A Classic Reference The latest version of Sedgewick, s best-selling series, reflecting an indispensable body of knowledge developed over the past several decades. Broad Coverage Full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing, including fifty algorithms every programmer should know. See

Introduction To Computation And Programming Using Python

Author : John V. Guttag
ISBN : 9780262529624
Genre : Computers
File Size : 72. 85 MB
Format : PDF, Mobi
Download : 439
Read : 252

Get This Book


The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization.

An Introduction To The Analysis Of Algorithms

Author : Robert Sedgewick
ISBN : 9780133373486
Genre : Computers
File Size : 32. 39 MB
Format : PDF, ePub, Mobi
Download : 421
Read : 1172

Get This Book


Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduction to the Analysis of Algorithms, Second Edition, organizes and presents that knowledge, fully introducing primary techniques and results in the field. Robert Sedgewick and the late Philippe Flajolet have drawn from both classical mathematics and computer science, integrating discrete mathematics, elementary real analysis, combinatorics, algorithms, and data structures. They emphasize the mathematics needed to support scientific studies that can serve as the basis for predicting algorithm performance and for comparing different algorithms on the basis of performance. Techniques covered in the first half of the book include recurrences, generating functions, asymptotics, and analytic combinatorics. Structures studied in the second half of the book include permutations, trees, strings, tries, and mappings. Numerous examples are included throughout to illustrate applications to the analysis of algorithms that are playing a critical role in the evolution of our modern computational infrastructure. Improvements and additions in this new edition include Upgraded figures and code An all-new chapter introducing analytic combinatorics Simplified derivations via analytic combinatorics throughout The book’s thorough, self-contained coverage will help readers appreciate the field’s challenges, prepare them for advanced results—covered in their monograph Analytic Combinatorics and in Donald Knuth’s The Art of Computer Programming books—and provide the background they need to keep abreast of new research. "[Sedgewick and Flajolet] are not only worldwide leaders of the field, they also are masters of exposition. I am sure that every serious computer scientist will find this book rewarding in many ways." —From the Foreword by Donald E. Knuth

Real World Algorithms

Author : Panos Louridas
ISBN : 9780262035705
Genre : Computers
File Size : 20. 87 MB
Format : PDF, ePub, Docs
Download : 863
Read : 920

Get This Book


An introduction to algorithms for readers with no background in advanced mathematics or computer science, emphasizing examples and real-world problems.

Introduction To The Design And Analysis Of Algorithms

Author : Anany Levitin
ISBN : 027376411X
Genre : Juvenile Nonfiction
File Size : 88. 89 MB
Format : PDF
Download : 165
Read : 412

Get This Book


Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, 'Introduction to the Design and Analysis of Algorithms' presents the subject in a coherent and innovative manner.

Machine Learning

Author : Ethem Alpaydin
ISBN : 9780262529518
Genre : Computers
File Size : 82. 12 MB
Format : PDF, ePub, Mobi
Download : 543
Read : 757

Get This Book


A concise overview of machine learning -- computer programs that learn from data -- which underlies applications that include recommendation systems, face recognition, and driverless cars.

Top Download:

Best Books