Random Generation of Trees

Random Generation of Trees

Author: Laurent Alonso

Publisher: Springer Science & Business Media

Published: 2013-03-09

Total Pages: 217

ISBN-13: 1475763530

DOWNLOAD EBOOK

Random Generation of Trees is about a field on the crossroads between computer science, combinatorics and probability theory. Computer scientists need random generators for performance analysis, simulation, image synthesis, etc. In this context random generation of trees is of particular interest. The algorithms presented here are efficient and easy to code. Some aspects of Horton--Strahler numbers, programs written in C and pictures are presented in the appendices. The complexity analysis is done rigorously both in the worst and average cases. Random Generation of Trees is intended for students in computer science and applied mathematics as well as researchers interested in random generation.


Book Synopsis Random Generation of Trees by : Laurent Alonso

Download or read book Random Generation of Trees written by Laurent Alonso and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Random Generation of Trees is about a field on the crossroads between computer science, combinatorics and probability theory. Computer scientists need random generators for performance analysis, simulation, image synthesis, etc. In this context random generation of trees is of particular interest. The algorithms presented here are efficient and easy to code. Some aspects of Horton--Strahler numbers, programs written in C and pictures are presented in the appendices. The complexity analysis is done rigorously both in the worst and average cases. Random Generation of Trees is intended for students in computer science and applied mathematics as well as researchers interested in random generation.

Random generation of tree data structures

Random generation of tree data structures

Author: Diva Mercedes Martínez Laverde

Publisher:

Published: 2015

Total Pages:

ISBN-13:

DOWNLOAD EBOOK


Book Synopsis Random generation of tree data structures by : Diva Mercedes Martínez Laverde

Download or read book Random generation of tree data structures written by Diva Mercedes Martínez Laverde and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fast Random Generation of Labeled Binary Trees

Fast Random Generation of Labeled Binary Trees

Author: A. J. Quiroz

Publisher:

Published: 1987

Total Pages: 8

ISBN-13:

DOWNLOAD EBOOK


Book Synopsis Fast Random Generation of Labeled Binary Trees by : A. J. Quiroz

Download or read book Fast Random Generation of Labeled Binary Trees written by A. J. Quiroz and published by . This book was released on 1987 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Random Trees

Random Trees

Author: Michael Drmota

Publisher: Springer Science & Business Media

Published: 2009-04-16

Total Pages: 466

ISBN-13: 3211753575

DOWNLOAD EBOOK

The aim of this book is to provide a thorough introduction to various aspects of trees in random settings and a systematic treatment of the mathematical analysis techniques involved. It should serve as a reference book as well as a basis for future research.


Book Synopsis Random Trees by : Michael Drmota

Download or read book Random Trees written by Michael Drmota and published by Springer Science & Business Media. This book was released on 2009-04-16 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to provide a thorough introduction to various aspects of trees in random settings and a systematic treatment of the mathematical analysis techniques involved. It should serve as a reference book as well as a basis for future research.

Algorithms for Random Generation and Counting: A Markov Chain Approach

Algorithms for Random Generation and Counting: A Markov Chain Approach

Author: A. Sinclair

Publisher: Springer Science & Business Media

Published: 1993-02

Total Pages: 161

ISBN-13: 0817636587

DOWNLOAD EBOOK

This monograph is a slightly revised version of my PhD thesis [86], com pleted in the Department of Computer Science at the University of Edin burgh in June 1988, with an additional chapter summarising more recent developments. Some of the material has appeared in the form of papers [50,88]. The underlying theme of the monograph is the study of two classical problems: counting the elements of a finite set of combinatorial structures, and generating them uniformly at random. In their exact form, these prob lems appear to be intractable for many important structures, so interest has focused on finding efficient randomised algorithms that solve them ap proxim~ly, with a small probability of error. For most natural structures the two problems are intimately connected at this level of approximation, so it is natural to study them together. At the heart of the monograph is a single algorithmic paradigm: sim ulate a Markov chain whose states are combinatorial structures and which converges to a known probability distribution over them. This technique has applications not only in combinatorial counting and generation, but also in several other areas such as statistical physics and combinatorial optimi sation. The efficiency of the technique in any application depends crucially on the rate of convergence of the Markov chain.


Book Synopsis Algorithms for Random Generation and Counting: A Markov Chain Approach by : A. Sinclair

Download or read book Algorithms for Random Generation and Counting: A Markov Chain Approach written by A. Sinclair and published by Springer Science & Business Media. This book was released on 1993-02 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph is a slightly revised version of my PhD thesis [86], com pleted in the Department of Computer Science at the University of Edin burgh in June 1988, with an additional chapter summarising more recent developments. Some of the material has appeared in the form of papers [50,88]. The underlying theme of the monograph is the study of two classical problems: counting the elements of a finite set of combinatorial structures, and generating them uniformly at random. In their exact form, these prob lems appear to be intractable for many important structures, so interest has focused on finding efficient randomised algorithms that solve them ap proxim~ly, with a small probability of error. For most natural structures the two problems are intimately connected at this level of approximation, so it is natural to study them together. At the heart of the monograph is a single algorithmic paradigm: sim ulate a Markov chain whose states are combinatorial structures and which converges to a known probability distribution over them. This technique has applications not only in combinatorial counting and generation, but also in several other areas such as statistical physics and combinatorial optimi sation. The efficiency of the technique in any application depends crucially on the rate of convergence of the Markov chain.

Random Number Generation and Monte Carlo Methods

Random Number Generation and Monte Carlo Methods

Author: James E. Gentle

Publisher: Springer Science & Business Media

Published: 2013-03-14

Total Pages: 252

ISBN-13: 147572960X

DOWNLOAD EBOOK

Monte Carlo simulation has become one of the most important tools in all fields of science. This book surveys the basic techniques and principles of the subject, as well as general techniques useful in more complicated models and in novel settings. The emphasis throughout is on practical methods that work well in current computing environments.


Book Synopsis Random Number Generation and Monte Carlo Methods by : James E. Gentle

Download or read book Random Number Generation and Monte Carlo Methods written by James E. Gentle and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monte Carlo simulation has become one of the most important tools in all fields of science. This book surveys the basic techniques and principles of the subject, as well as general techniques useful in more complicated models and in novel settings. The emphasis throughout is on practical methods that work well in current computing environments.

Algorithms for Random Generation and Counting: A Markov Chain Approach

Algorithms for Random Generation and Counting: A Markov Chain Approach

Author: A. Sinclair

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 156

ISBN-13: 1461203236

DOWNLOAD EBOOK

This monograph is a slightly revised version of my PhD thesis [86], com pleted in the Department of Computer Science at the University of Edin burgh in June 1988, with an additional chapter summarising more recent developments. Some of the material has appeared in the form of papers [50,88]. The underlying theme of the monograph is the study of two classical problems: counting the elements of a finite set of combinatorial structures, and generating them uniformly at random. In their exact form, these prob lems appear to be intractable for many important structures, so interest has focused on finding efficient randomised algorithms that solve them ap proxim~ly, with a small probability of error. For most natural structures the two problems are intimately connected at this level of approximation, so it is natural to study them together. At the heart of the monograph is a single algorithmic paradigm: sim ulate a Markov chain whose states are combinatorial structures and which converges to a known probability distribution over them. This technique has applications not only in combinatorial counting and generation, but also in several other areas such as statistical physics and combinatorial optimi sation. The efficiency of the technique in any application depends crucially on the rate of convergence of the Markov chain.


Book Synopsis Algorithms for Random Generation and Counting: A Markov Chain Approach by : A. Sinclair

Download or read book Algorithms for Random Generation and Counting: A Markov Chain Approach written by A. Sinclair and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph is a slightly revised version of my PhD thesis [86], com pleted in the Department of Computer Science at the University of Edin burgh in June 1988, with an additional chapter summarising more recent developments. Some of the material has appeared in the form of papers [50,88]. The underlying theme of the monograph is the study of two classical problems: counting the elements of a finite set of combinatorial structures, and generating them uniformly at random. In their exact form, these prob lems appear to be intractable for many important structures, so interest has focused on finding efficient randomised algorithms that solve them ap proxim~ly, with a small probability of error. For most natural structures the two problems are intimately connected at this level of approximation, so it is natural to study them together. At the heart of the monograph is a single algorithmic paradigm: sim ulate a Markov chain whose states are combinatorial structures and which converges to a known probability distribution over them. This technique has applications not only in combinatorial counting and generation, but also in several other areas such as statistical physics and combinatorial optimi sation. The efficiency of the technique in any application depends crucially on the rate of convergence of the Markov chain.

The Generation of Random, Binary Unordered Trees

The Generation of Random, Binary Unordered Trees

Author: Bell Communications Research, Inc. Mathematical, Communications, and Computer Sciences Research Laboratory

Publisher:

Published: 1986

Total Pages: 48

ISBN-13:

DOWNLOAD EBOOK


Book Synopsis The Generation of Random, Binary Unordered Trees by : Bell Communications Research, Inc. Mathematical, Communications, and Computer Sciences Research Laboratory

Download or read book The Generation of Random, Binary Unordered Trees written by Bell Communications Research, Inc. Mathematical, Communications, and Computer Sciences Research Laboratory and published by . This book was released on 1986 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Random Numbers and Computers

Random Numbers and Computers

Author: Ronald T. Kneusel

Publisher: Springer

Published: 2018-04-05

Total Pages: 260

ISBN-13: 3319776975

DOWNLOAD EBOOK

This book covers pseudorandom number generation algorithms, evaluation techniques, and offers practical advice and code examples. Random Numbers and Computers is an essential introduction or refresher on pseudorandom numbers in computer science. The first comprehensive book on the topic, readers are provided with a practical introduction to the techniques of pseudorandom number generation, including how the algorithms work and how to test the output to decide if it is suitable for a particular purpose. Practical applications are demonstrated with hands-on presentation and descriptions that readers can apply directly to their own work. Examples are in C and Python and given with an emphasis on understanding the algorithms to the point of practical application. The examples are meant to be implemented, experimented with and improved/adapted by the reader.


Book Synopsis Random Numbers and Computers by : Ronald T. Kneusel

Download or read book Random Numbers and Computers written by Ronald T. Kneusel and published by Springer. This book was released on 2018-04-05 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers pseudorandom number generation algorithms, evaluation techniques, and offers practical advice and code examples. Random Numbers and Computers is an essential introduction or refresher on pseudorandom numbers in computer science. The first comprehensive book on the topic, readers are provided with a practical introduction to the techniques of pseudorandom number generation, including how the algorithms work and how to test the output to decide if it is suitable for a particular purpose. Practical applications are demonstrated with hands-on presentation and descriptions that readers can apply directly to their own work. Examples are in C and Python and given with an emphasis on understanding the algorithms to the point of practical application. The examples are meant to be implemented, experimented with and improved/adapted by the reader.

Model Driven Architecture - Foundations and Applications

Model Driven Architecture - Foundations and Applications

Author: Richard F. Paige

Publisher: Springer Science & Business Media

Published: 2009-06-12

Total Pages: 349

ISBN-13: 3642026737

DOWNLOAD EBOOK

The ?fth edition of the European Conference on Model-Driven Architecture Foundations and Applications (ECMDA-FA 2009) was dedicated to furthering the state of knowledge and fostering the industrialization of Model-Driven - chitecture (MDA) and Model-Driven Engineering (MDE). MDA is an initiative proposed by the Object Management Group for platform-generic systems - velopment; MDA is one of a class of approaches under the umbrella of MDE. MDE and MDA promote the use of models in the speci?cation, design, analysis, synthesis, deployment, and evolution of complex software systems. It is a pleasure to be able to introduce the proceedings of ECMDA-FA 2009. ECMDA-FA 2009 addressed various MDA areas including model transfor- tions, modelling language issues, modelling of behavior and time, traceability and scalability, model-basedembedded systems engineering,and the application of model-driven development to IT and networking systems. ECMDA-FA 2009 focused on engaging key European and international - searchers and practitioners in a dialogue which will result in a stronger, more e?cientindustry,producingmorereliablesoftwareonthebasisofstate-of-the-art research results. ECMDA-FA is a forum for exchanging information, discussing the latest results and arguing about future developments of MDA and MDE. Particularly, it is one of the few venues that engages both leading academic researchers and industry practitioners, with the intent of creating synergies.


Book Synopsis Model Driven Architecture - Foundations and Applications by : Richard F. Paige

Download or read book Model Driven Architecture - Foundations and Applications written by Richard F. Paige and published by Springer Science & Business Media. This book was released on 2009-06-12 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ?fth edition of the European Conference on Model-Driven Architecture Foundations and Applications (ECMDA-FA 2009) was dedicated to furthering the state of knowledge and fostering the industrialization of Model-Driven - chitecture (MDA) and Model-Driven Engineering (MDE). MDA is an initiative proposed by the Object Management Group for platform-generic systems - velopment; MDA is one of a class of approaches under the umbrella of MDE. MDE and MDA promote the use of models in the speci?cation, design, analysis, synthesis, deployment, and evolution of complex software systems. It is a pleasure to be able to introduce the proceedings of ECMDA-FA 2009. ECMDA-FA 2009 addressed various MDA areas including model transfor- tions, modelling language issues, modelling of behavior and time, traceability and scalability, model-basedembedded systems engineering,and the application of model-driven development to IT and networking systems. ECMDA-FA 2009 focused on engaging key European and international - searchers and practitioners in a dialogue which will result in a stronger, more e?cientindustry,producingmorereliablesoftwareonthebasisofstate-of-the-art research results. ECMDA-FA is a forum for exchanging information, discussing the latest results and arguing about future developments of MDA and MDE. Particularly, it is one of the few venues that engages both leading academic researchers and industry practitioners, with the intent of creating synergies.