Barnes, David J. (David John) 1959 June 7
Overview
Works:  8 works in 36 publications in 3 languages and 835 library holdings 

Roles:  Author 
Classifications:  QA76.64, 005.117 
Publication Timeline
.
Most widely held works by
David J Barnes
Conception objet en Java avec BlueJ une approche interactive by
David J Barnes(
Visual
)
3 editions published between 2003 and 2009 in French and held by 142 WorldCat member libraries worldwide
3 editions published between 2003 and 2009 in French and held by 142 WorldCat member libraries worldwide
Introduction to modeling for biosciences by
David J Barnes(
Book
)
14 editions published between 2010 and 2014 in English and Undetermined and held by 90 WorldCat member libraries worldwide
Computational modeling has become an essential tool for researchers in the biological sciences. Yet in biological modeling, there is no one technique that is suitable for all problems. Instead, different problems call for different approaches. Furthermore, it can be helpful to analyze the same system using a variety of approaches, to be able to exploit the advantages and drawbacks of each. In practice, it is often unclear which modeling approaches will be most suitable for a particular biological question  a problem that requires researchers to know a reasonable amount about a number of techniques, rather than become experts on a single one. Introduction to Modeling for Biosciences addresses this issue by presenting a broad overview of the most important techniques used to model biological systems. In addition to providing an introduction into the use of a wide range of software tools and modeling environments, this helpful text/reference describes the constraints and difficulties that each modeling technique presents in practice. This enables the researcher to quickly determine which software package would be most useful for their particular problem. Topics and features: Introduces a basic array of techniques to formulate models of biological systems, and to solve them Discusses agentbased models, stochastic modeling techniques, differential equations and Gillespies stochastic simulation algorithm Intersperses the text with exercises Includes practical introductions to the Maxima computer algebra system, the PRISM model checker, and the Repast Simphony agent modeling environment Contains appendices on Repast batch running, rules of differentiation and integration, Maxima and PRISM notation, and some additional mathematical concepts Supplies source code for many of the example models discussed, at the associated website http://www.cs.kent.ac.uk/imb/ This unique and practical work guides the novice modeler through realistic and concrete modeling projects, highlighting and commenting on the process of abstracting the real system into a model. Students and active researchers in the biosciences will also benefit from the discussions of the highquality, triedandtested modeling tools described in the book, as well as thorough descriptions and examples. David J. Barnes is a lecturer in computer science at the University of Kent, UK, with a strong background in the teaching of programming. Dominique Chu is a lecturer in computer science at the University of Kent, UK. He is an expert in mathematical and computational modeling of biological systems, with years of experience in these subject fields
14 editions published between 2010 and 2014 in English and Undetermined and held by 90 WorldCat member libraries worldwide
Computational modeling has become an essential tool for researchers in the biological sciences. Yet in biological modeling, there is no one technique that is suitable for all problems. Instead, different problems call for different approaches. Furthermore, it can be helpful to analyze the same system using a variety of approaches, to be able to exploit the advantages and drawbacks of each. In practice, it is often unclear which modeling approaches will be most suitable for a particular biological question  a problem that requires researchers to know a reasonable amount about a number of techniques, rather than become experts on a single one. Introduction to Modeling for Biosciences addresses this issue by presenting a broad overview of the most important techniques used to model biological systems. In addition to providing an introduction into the use of a wide range of software tools and modeling environments, this helpful text/reference describes the constraints and difficulties that each modeling technique presents in practice. This enables the researcher to quickly determine which software package would be most useful for their particular problem. Topics and features: Introduces a basic array of techniques to formulate models of biological systems, and to solve them Discusses agentbased models, stochastic modeling techniques, differential equations and Gillespies stochastic simulation algorithm Intersperses the text with exercises Includes practical introductions to the Maxima computer algebra system, the PRISM model checker, and the Repast Simphony agent modeling environment Contains appendices on Repast batch running, rules of differentiation and integration, Maxima and PRISM notation, and some additional mathematical concepts Supplies source code for many of the example models discussed, at the associated website http://www.cs.kent.ac.uk/imb/ This unique and practical work guides the novice modeler through realistic and concrete modeling projects, highlighting and commenting on the process of abstracting the real system into a model. Students and active researchers in the biosciences will also benefit from the discussions of the highquality, triedandtested modeling tools described in the book, as well as thorough descriptions and examples. David J. Barnes is a lecturer in computer science at the University of Kent, UK, with a strong background in the teaching of programming. Dominique Chu is a lecturer in computer science at the University of Kent, UK. He is an expert in mathematical and computational modeling of biological systems, with years of experience in these subject fields
Objects first with Java : a practical introduction using Blue J by
David J Barnes(
Book
)
12 editions published between 2003 and 2012 in English and held by 37 WorldCat member libraries worldwide
This introductory programming textbook integrates BlueJ with Java. It provides a thorough treatment of objectoriented principles
12 editions published between 2003 and 2012 in English and held by 37 WorldCat member libraries worldwide
This introductory programming textbook integrates BlueJ with Java. It provides a thorough treatment of objectoriented principles
Guide to simulation and modeling for biosciences by
David J Barnes(
Book
)
3 editions published in 2015 in English and held by 8 WorldCat member libraries worldwide
This accessible text/reference presents a detailed introduction to the use of a wide range of software tools and modeling environments for use in the biosciences, as well as some of the fundamental mathematical background. The practical constraints and difficulties presented by each modeling technique are described in detail, enabling the researcher to determine quickly which software package would be most useful for their particular problem. This Guide to Simulation and Modeling for Biosciences is a fully updated and enhanced revision of the authors' earlier Introduction to Modeling for Biosciences. Written with the particular needs of the novice modeler in mind, this unique and helpful work guides the reader through realistic and concrete modeling projects, highlighting and commenting on the process of abstracting the real system into a model. Topics and features: Introduces a basic array of techniques to formulate models of biological systems, and to solve them Discusses agentbased models, stochastic modeling techniques, differential equations, spatial simulations, and Gillespie's stochastic simulation algorithm Provides exercises to help the reader sharpen their understanding of the topics Describes such useful tools as the Maxima algebra system, the PRISM model checker, and the modeling environments Repast Simphony and Smoldyn Contains appendices on rules of differentiation and integration, Maxima and PRISM notation, and some additional mathematical concepts Offers supplementary material at an associated website, including source code for many of the example models discussed in the book Students and active researchers in the biosciences will benefit from the discussions of the highquality, triedandtested modeling tools described in the book, as well as the thorough descriptions and examples
3 editions published in 2015 in English and held by 8 WorldCat member libraries worldwide
This accessible text/reference presents a detailed introduction to the use of a wide range of software tools and modeling environments for use in the biosciences, as well as some of the fundamental mathematical background. The practical constraints and difficulties presented by each modeling technique are described in detail, enabling the researcher to determine quickly which software package would be most useful for their particular problem. This Guide to Simulation and Modeling for Biosciences is a fully updated and enhanced revision of the authors' earlier Introduction to Modeling for Biosciences. Written with the particular needs of the novice modeler in mind, this unique and helpful work guides the reader through realistic and concrete modeling projects, highlighting and commenting on the process of abstracting the real system into a model. Topics and features: Introduces a basic array of techniques to formulate models of biological systems, and to solve them Discusses agentbased models, stochastic modeling techniques, differential equations, spatial simulations, and Gillespie's stochastic simulation algorithm Provides exercises to help the reader sharpen their understanding of the topics Describes such useful tools as the Maxima algebra system, the PRISM model checker, and the modeling environments Repast Simphony and Smoldyn Contains appendices on rules of differentiation and integration, Maxima and PRISM notation, and some additional mathematical concepts Offers supplementary material at an associated website, including source code for many of the example models discussed in the book Students and active researchers in the biosciences will benefit from the discussions of the highquality, triedandtested modeling tools described in the book, as well as the thorough descriptions and examples
Programaci{dbldotb}n orientada a objetos con Java una introducci{dbldotb}n pr{grave}ctica usando BlueJ by
David J Barnes(
Book
)
1 edition published in 2007 in Spanish and held by 1 WorldCat member library worldwide
1 edition published in 2007 in Spanish and held by 1 WorldCat member library worldwide
Frictional studies on some high temperature materials under ultra high vacuum conditions by
David J Barnes(
Book
)
1 edition published in 1973 in English and held by 1 WorldCat member library worldwide
1 edition published in 1973 in English and held by 1 WorldCat member library worldwide
Isolation of a pharmacologically active microbial metabolite with affinity for D←2 dopamine receptors and 5HT←1←A 5hydroxytryptamine
receptors by
David J Barnes(
Book
)
1 edition published in 1996 in English and held by 1 WorldCat member library worldwide
1 edition published in 1996 in English and held by 1 WorldCat member library worldwide
Introduction to Modeling for Biosciences(
)
1 edition published in 2010 in English and held by 0 WorldCat member libraries worldwide
1 edition published in 2010 in English and held by 0 WorldCat member libraries worldwide
Audience Level
0 

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Kids  General  Special 
Related Identities
 Chu, Dominique
 Kölling, Michael Author
 Moreaux, Patrice Collector
 Le Guillou de Penanros, Nathalie Translator
 Kolb, Chantal Translator
 Krajecki, Michaël Translator
 Gosling, James (1955....).
 SpringerLink (Service en ligne)
 Brenta, Blanca Irene Translator
 Kölling, Michael K.
Associated Subjects
Bioinformatics BiologyComputer simulation BiologyData processing Computational biology Computer science Computer scienceStudy and teaching Computer simulation Java (Computer program language) Mathematical models Objectoriented methods (Computer science) Objectoriented programming (Computer science) Pharmacology