東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

A guide to numerical modelling in sy...

Deuflhard, Peter.

Linked to FindBook

Google Book

Amazon

博客來

A guide to numerical modelling in systems biology

Record Type:	Electronic resources : Monograph/item
Title/Author:	A guide to numerical modelling in systems biology/ by Peter Deuflhard, Susanna Roblitz.
Author:	Deuflhard, Peter.
other author:	Roblitz, Susanna.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	x, 168 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Preface -- Outline -- ODE Models for Systems Biological Networks -- Numerical Simulation of ODE Models -- Parameter Identification in ODE Models -- Appendix -- Software -- Index.
Contained By:	Springer eBooks
Subject:	Numerical and Computational Physics. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-20059-0
ISBN:	9783319200590 (electronic bk.)

A guide to numerical modelling in systems biology
Deuflhard, Peter.

A guide to numerical modelling in systems biology[electronic resource] /by Peter Deuflhard, Susanna Roblitz. - Cham :Springer International Publishing :2015. - x, 168 p. :ill. (some col.), digital ;24 cm. - Texts in computational science and engineering,121611-0994 ;. - Texts in computational science and engineering ;6..

Preface -- Outline -- ODE Models for Systems Biological Networks -- Numerical Simulation of ODE Models -- Parameter Identification in ODE Models -- Appendix -- Software -- Index.

This book is intended for students of computational systems biology with only a limited background in mathematics. Typical books on systems biology merely mention algorithmic approaches, but without offering a deeper understanding. On the other hand, mathematical books are typically unreadable for computational biologists. The authors of the present book have worked hard to fill this gap. The result is not a book on systems biology, but on computational methods in systems biology. This book originated from courses taught by the authors at Freie Universitat Berlin. The guiding idea of the courses was to convey those mathematical insights that are indispensable for systems biology, teaching the necessary mathematical prerequisites by means of many illustrative examples and without any theorems. The three chapters cover the mathematical modelling of biochemical and physiological processes, numerical simulation of the dynamics of biological networks, and identification of model parameters by means of comparisons with real data. Throughout the text, the strengths and weaknesses of numerical algorithms with respect to various systems biological issues are discussed. Web addresses for downloading the corresponding software are also included.

ISBN: 9783319200590 (electronic bk.)

Standard No.: 10.1007/978-3-319-20059-0doiSubjects--Topical Terms:

1066671
Numerical and Computational Physics.

LC Class. No.: QH323.5

Dewey Class. No.: 570.15118

A guide to numerical modelling in systems biology
LDR:02473nmm a2200325 a 4500 001 2009110
003 DE-He213
005 20160223151402.0
006 m d
007 cr nn 008maaau
008 160311s2015 gw s 0 eng d
020 $a 9783319200590 (electronic bk.)
020 $a 9783319200583 (paper)
024 7 $a 10.1007/978-3-319-20059-0 $2 doi
035 $a 978-3-319-20059-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QH323.5
072 7 $a PBKJ $2 bicssc
072 7 $a MAT007000 $2 bisacsh
082 0 4 $a 570.15118 $2 23
090 $a QH323.5 $b .D485 2015
100 1 $a Deuflhard, Peter. $3 2157955
245 1 2 $a A guide to numerical modelling in systems biology $h [electronic resource] / $c by Peter Deuflhard, Susanna Roblitz.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a x, 168 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Texts in computational science and engineering, $x 1611-0994 ; $v 12
505 0 $a Preface -- Outline -- ODE Models for Systems Biological Networks -- Numerical Simulation of ODE Models -- Parameter Identification in ODE Models -- Appendix -- Software -- Index.
520 $a This book is intended for students of computational systems biology with only a limited background in mathematics. Typical books on systems biology merely mention algorithmic approaches, but without offering a deeper understanding. On the other hand, mathematical books are typically unreadable for computational biologists. The authors of the present book have worked hard to fill this gap. The result is not a book on systems biology, but on computational methods in systems biology. This book originated from courses taught by the authors at Freie Universitat Berlin. The guiding idea of the courses was to convey those mathematical insights that are indispensable for systems biology, teaching the necessary mathematical prerequisites by means of many illustrative examples and without any theorems. The three chapters cover the mathematical modelling of biochemical and physiological processes, numerical simulation of the dynamics of biological networks, and identification of model parameters by means of comparisons with real data. Throughout the text, the strengths and weaknesses of numerical algorithms with respect to various systems biological issues are discussed. Web addresses for downloading the corresponding software are also included.
650 2 4 $a Numerical and Computational Physics. $3 1066671
650 0 $a Systems biology $x Mathematical models. $3 2047291
650 0 $a Bioinformatics. $3 553671
650 0 $a Differential equations. $3 517952
650 1 4 $a Mathematics. $3 515831
650 2 4 $a Ordinary Differential Equations. $3 891264
650 2 4 $a Applications of Mathematics. $3 890893
650 2 4 $a Mathematical and Computational Biology. $3 1566274
650 2 4 $a Simulation and Modeling. $3 890873
700 1 $a Roblitz, Susanna. $3 2157956
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Texts in computational science and engineering ; $v 6. $3 1619980
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-20059-0
950 $a Mathematics and Statistics (Springer-11649)