國立高雄大學圖資館 |

Language: English

Back

Stochastic analysis of biochemical s...

Anderson, David F.

Stochastic analysis of biochemical systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Stochastic analysis of biochemical systemsby David F. Anderson, Thomas G. Kurtz.
Author:	Anderson, David F.
other author:	Kurtz, Thomas G.
Published:	Cham :Springer International Publishing :2015.
Description:	x, 84 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Stochastic analysis.
Online resource:	http://dx.doi.org/10.1007/978-3-319-16895-1
ISBN:	9783319168951 (electronic bk.)

Stochastic analysis of biochemical systems
Anderson, David F.

Stochastic analysis of biochemical systems[electronic resource] /by David F. Anderson, Thomas G. Kurtz. - Cham :Springer International Publishing :2015. - x, 84 p. :ill., digital ;24 cm. - Mathematical Biosciences Institute lecture series,v.12364-2297 ;. - Mathematical Biosciences Institute lecture series ;v.1..

This book focuses on counting processes and continuous-time Markov chains motivated by examples and applications drawn from chemical networks in systems biology. The book should serve well as a supplement for courses in probability and stochastic processes. While the material is presented in a manner most suitable for students who have studied stochastic processes up to and including martingales in continuous time, much of the necessary background material is summarized in the Appendix. Students and Researchers with a solid understanding of calculus, differential equations, and elementary probability and who are well-motivated by the applications will find this book of interest. David F. Anderson is Associate Professor in the Department of Mathematics at the University of Wisconsin and Thomas G. Kurtz is Emeritus Professor in the Departments of Mathematics and Statistics at that university. Their research is focused on probability and stochastic processes with applications in biology and other areas of science and technology. These notes are based in part on lectures given by Professor Anderson at the University of Wisconsin - Madison and by Professor Kurtz at Goethe University Frankfurt.

ISBN: 9783319168951 (electronic bk.)

Standard No.: 10.1007/978-3-319-16895-1doiSubjects--Topical Terms:

183332
Stochastic analysis.

LC Class. No.: QA274.2

Dewey Class. No.: 519.22

Stochastic analysis of biochemical systems
LDR:02219nmm a2200313 a 4500 001 465822
003 DE-He213
005 20151117143538.0
006 m d
007 cr nn 008maaau
008 151222s2015 gw s 0 eng d
020 $a 9783319168951 (electronic bk.)
020 $a 9783319168944 (paper)
024 7 $a 10.1007/978-3-319-16895-1 $2 doi
035 $a 978-3-319-16895-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA274.2
072 7 $a PDE $2 bicssc
072 7 $a MAT003000 $2 bisacsh
082 0 4 $a 519.22 $2 23
090 $a QA274.2 $b .A546 2015
100 1 $a Anderson, David F. $3 237563
245 1 0 $a Stochastic analysis of biochemical systems $h [electronic resource] / $c by David F. Anderson, Thomas G. Kurtz.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a x, 84 p. : $b ill., digital ; $c 24 cm.
490 1 $a Mathematical Biosciences Institute lecture series, $x 2364-2297 ; $v v.1
520 $a This book focuses on counting processes and continuous-time Markov chains motivated by examples and applications drawn from chemical networks in systems biology. The book should serve well as a supplement for courses in probability and stochastic processes. While the material is presented in a manner most suitable for students who have studied stochastic processes up to and including martingales in continuous time, much of the necessary background material is summarized in the Appendix. Students and Researchers with a solid understanding of calculus, differential equations, and elementary probability and who are well-motivated by the applications will find this book of interest. David F. Anderson is Associate Professor in the Department of Mathematics at the University of Wisconsin and Thomas G. Kurtz is Emeritus Professor in the Departments of Mathematics and Statistics at that university. Their research is focused on probability and stochastic processes with applications in biology and other areas of science and technology. These notes are based in part on lectures given by Professor Anderson at the University of Wisconsin - Madison and by Professor Kurtz at Goethe University Frankfurt.
650 0 $a Stochastic analysis. $3 183332
650 0 $a Biochemistry $x Mathematical models. $3 194443
650 1 4 $a Mathematics. $3 184409
650 2 4 $a Mathematical and Computational Biology. $3 514442
650 2 4 $a Probability Theory and Stochastic Processes. $3 274061
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 274070
700 1 $a Kurtz, Thomas G. $3 185801
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Mathematical Biosciences Institute lecture series ; $v v.1. $3 719776
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-16895-1
950 $a Mathematics and Statistics (Springer-11649)