Share

Average Case Analysis of Algorithms on Sequences

2011-10-14 Mathematics
Download Average Case Analysis of Algorithms on Sequences PDF Online Free

Author :
Release : 2011-10-14
Genre : Mathematics
Kind : eBook
Book Rating : 024/5 ( reviews)

GET EBOOK


Book Synopsis Average Case Analysis of Algorithms on Sequences by : Wojciech Szpankowski

Download or read book Average Case Analysis of Algorithms on Sequences written by Wojciech Szpankowski. This book was released on 2011-10-14. Available in PDF, EPUB and Kindle. Book excerpt: A timely book on a topic that has witnessed a surge of interest over the last decade, owing in part to several novel applications, most notably in data compression and computational molecular biology. It describes methods employed in average case analysis of algorithms, combining both analytical and probabilistic tools in a single volume. * Tools are illustrated through problems on words with applications to molecular biology, data compression, security, and pattern matching. * Includes chapters on algorithms and data structures on words, probabilistic and analytical models, inclusion-exclusion principles, first and second moment methods, subadditive ergodic theorem and large deviations, elements of information theory, generating functions, complex asymptotic methods, Mellin transform and its applications, and analytic poissonization and depoissonization. * Written by an established researcher with a strong international reputation in the field.

Beyond the Worst-Case Analysis of Algorithms

2021-01-14 Computers
Download Beyond the Worst-Case Analysis of Algorithms PDF Online Free

Author :
Release : 2021-01-14
Genre : Computers
Kind : eBook
Book Rating : 315/5 ( reviews)

GET EBOOK


Book Synopsis Beyond the Worst-Case Analysis of Algorithms by : Tim Roughgarden

Download or read book Beyond the Worst-Case Analysis of Algorithms written by Tim Roughgarden. This book was released on 2021-01-14. Available in PDF, EPUB and Kindle. Book excerpt: Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.

Fundamentals of the Average Case Analysis of Particular Algorithms

1985-04-04 Computers
Download Fundamentals of the Average Case Analysis of Particular Algorithms PDF Online Free

Author :
Release : 1985-04-04
Genre : Computers
Kind : eBook
Book Rating : 222/5 ( reviews)

GET EBOOK


Book Synopsis Fundamentals of the Average Case Analysis of Particular Algorithms by : Rainer Kemp

Download or read book Fundamentals of the Average Case Analysis of Particular Algorithms written by Rainer Kemp. This book was released on 1985-04-04. Available in PDF, EPUB and Kindle. Book excerpt: A careful and cogent analysis of the average-case behavior of a variety of algorithms accompanied by mathematical calculations. The analysis consists of determining the behavior of an algorithm in the best, worst, and average case. Material is outlined in various exercises and problems.

Foundations of Algorithms

2014-03-05 Computers
Download Foundations of Algorithms PDF Online Free

Author :
Release : 2014-03-05
Genre : Computers
Kind : eBook
Book Rating : 444/5 ( reviews)

GET EBOOK


Book Synopsis Foundations of Algorithms by : Richard Neapolitan

Download or read book Foundations of Algorithms written by Richard Neapolitan. This book was released on 2014-03-05. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Algorithms, Fifth Edition offers a well-balanced presentation of algorithm design, complexity analysis of algorithms, and computational complexity. Ideal for any computer science students with a background in college algebra and discrete structures, the text presents mathematical concepts using standard English and simple notation to maximize accessibility and user-friendliness. Concrete examples, appendices reviewing essential mathematical concepts, and a student-focused approach reinforce theoretical explanations and promote learning and retention. C++ and Java pseudocode help students better understand complex algorithms. A chapter on numerical algorithms includes a review of basic number theory, Euclid's Algorithm for finding the greatest common divisor, a review of modular arithmetic, an algorithm for solving modular linear equations, an algorithm for computing modular powers, and the new polynomial-time algorithm for determining whether a number is prime.The revised and updated Fifth Edition features an all-new chapter on genetic algorithms and genetic programming, including approximate solutions to the traveling salesperson problem, an algorithm for an artificial ant that navigates along a trail of food, and an application to financial trading. With fully updated exercises and examples throughout and improved instructor resources including complete solutions, an Instructor’s Manual and PowerPoint lecture outlines, Foundations of Algorithms is an essential text for undergraduate and graduate courses in the design and analysis of algorithms. Key features include:• The only text of its kind with a chapter on genetic algorithms• Use of C++ and Java pseudocode to help students better understand complex algorithms• No calculus background required• Numerous clear and student-friendly examples throughout the text• Fully updated exercises and examples throughout• Improved instructor resources, including complete solutions, an Instructor’s Manual, and PowerPoint lecture outlines

Beyond the Worst-Case Analysis of Algorithms

2021-01-14 Computers
Download Beyond the Worst-Case Analysis of Algorithms PDF Online Free

Author :
Release : 2021-01-14
Genre : Computers
Kind : eBook
Book Rating : 170/5 ( reviews)

GET EBOOK


Book Synopsis Beyond the Worst-Case Analysis of Algorithms by : Tim Roughgarden

Download or read book Beyond the Worst-Case Analysis of Algorithms written by Tim Roughgarden. This book was released on 2021-01-14. Available in PDF, EPUB and Kindle. Book excerpt: There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on the problem and the application. However, typical algorithms courses rely almost entirely on a single analysis framework, that of worst-case analysis, wherein an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which can be taught in lectures to beginning graduate students in theoretical computer science and machine learning.

You may also like...