Methods in Algorithmic Analysis (Chapman & Hall/CRC Computer and Information Science Series) - Image 1

£76.70

CRC Press Methods in Algorithmic Analysis (Chapman & Hall/CRC Computer and Information Science Series)

Name: Methods in Algorithmic Analysis (Chapman & Hall/CRC Computer and Information Science Series)
Brand: CRC Press
Price: 72.67 GBP
Availability: InStock

Algorithms

Price History & Forecast

Last 86 days • 86 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 86 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £73 (64 days, 74.4%)

Price range: £73 - £77

Price levels: 2 different prices over 86 days

Description

Product Description Explores the Impact of the Analysis of Algorithms on Many Areas within and beyond Computer ScienceA flexible, interactive teaching format enhanced by a large selection of examples and exercises Developed from the author’s own graduate-level course, Methods in Algorithmic Analysis presents numerous theories, techniques, and methods used for analyzing algorithms. It exposes students to mathematical techniques and methods that are practical and relevant to theoretical aspects of computer science. After introducing basic mathematical and combinatorial methods, the text focuses on various aspects of probability, including finite sets, random variables, distributions, Bayes’ theorem, and Chebyshev inequality. It explores the role of recurrences in computer science, numerical analysis, engineering, and discrete mathematics applications. The author then describes the powerful tool of generating functions, which is demonstrated in enumeration problems, such as probabilistic algorithms, compositions and partitions of integers, and shuffling. He also discusses the symbolic method, the principle of inclusion and exclusion, and its applications. The book goes on to show how strings can be manipulated and counted, how the finite state machine and Markov chains can help solve probabilistic and combinatorial problems, how to derive asymptotic results, and how convergence and singularities play leading roles in deducing asymptotic information from generating functions. The final chapter presents the definitions and properties of the mathematical infrastructure needed to accommodate generating functions. Accompanied by more than 1,000 examples and exercises, this comprehensive, classroom-tested text develops students’ understanding of the mathematical methodology behind the analysis of algorithms. It emphasizes the important relation between continuous (classical) mathematics and discrete mathematics, which is the basis of computer science. Review …helpful to any mathematics student who wishes to acquire a background in classical probability and analysis … This is a remarkably beautiful book that would be a pleasure for a student to read, or for a teacher to make into a year's course.―Harvey Cohn, Computing Reviews, May 2010 About the Author Vladimir A. Dobrushkin is a professor in the Division of Applied Mathematics at Brown University and a professor in the Department of Computer Science at Worcester Polytechnic Institute.

Product Specifications

Brand: CRC Press
Format: paperback
ASIN: 1138118044
Category: Books > Subjects > Computing & Internet > Programming > Algorithms
Domain: Amazon UK
Release Date: 16 June 2017
Listed Since: 12 May 2017

Barcode

No barcode data available

CRC Press Methods in Algorithmic Analysis (Chapman & Hall/CRC Computer and Information Science Series)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Selected Works I: Mathematics and Mechanics: 25 (Springer Collected Works in Mathematics)

On the Estimation of Multiple Random Integrals and U-Statistics: 2079 (Lecture Notes in Mathematics, 2079)

Algorithms as a Basis of Modern Applied Mathematics: 404 (Studies in Fuzziness and Soft Computing, 404)

Rabi N. Bhattacharya: Selected Papers (Contemporary Mathematicians)

Algorithms and Theory of Computation Handbook, Volume 2: Special Topics and Techniques (Chapman & Hall/CRC Applied Algorithms and Data Structures series)

Dynamics of Information Systems: Algorithmic Approaches: 51 (Springer Proceedings in Mathematics & Statistics, 51)

Algorithmic Combinatorics: Enumerative Combinatorics, Special Functions and Computer Algebra: In Honour of Peter Paule on his 60th Birthday (Texts & Monographs in Symbolic Computation)

Mathematics in Computing: An Accessible Guide to Historical, Foundational and Application Contexts (Undergraduate Topics in Computer Science)

An Introduction to Communication Network Analysis (IEEE Press)

Diskrete Mathematik und Mathematische Fragen der Kybernetik: 71 (Lehrbücher und Monographien aus dem Gebiete der exakten Wissenschaften, 71)

Distribution Theory Of Runs And Patterns And Its Applications: A Finite Markov Chain Imbedding Approach

Computational Complexity: A Quantitative Perspective (Volume 196) (North-Holland Mathematics Studies, Volume 196)

Computer and Information Science: 849 (Studies in Computational Intelligence, 849)

Exercises in Probability: A Guided Tour From Measure Theory To Random Processes, Via Conditioning: 35 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 35)

The Triangle-Free Process and the Ramsey Number $R(3,k)$ (Memoirs of the American Mathematical Society)

Advances in Information and Communication Technology: Proceedings of the International Conference, ICTA 2016: 538 (Advances in Intelligent Systems and Computing, 538)

Proceedings of ECCS 2014: European Conference on Complex Systems (Springer Proceedings in Complexity)

Collected Papers I: Statistical Inference and Probability (1951 - 1963): 1 (Springer Collected Works in Mathematics)

The Discrete Math Workbook: A Companion Manual Using Python (Texts in Computer Science)

Practical Issues of Intelligent Innovations: 140 (Studies in Systems, Decision and Control, 140)

LATIN 2018: Theoretical Informatics: 13th Latin American Symposium, Buenos Aires, Argentina, April 16-19, 2018, Proceedings: 10807 (Lecture Notes in Computer Science, 10807)

Intelligent Sensing and Communications for Internet of Everything

Advances in Data and Information Sciences: Proceedings of ICDIS 2019: 94 (Lecture Notes in Networks and Systems, 94)

Machine Learning and Information Processing: Proceedings of ICMLIP 2019: 1101 (Advances in Intelligent Systems and Computing, 1101)