國立虎尾科技大學 |

Individual-based models and their limits

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Individual-based models and their limits/ by Ryszard Rudnicki, Radosław Wieczorek.
作者:	Rudnicki, Ryszard.
其他作者:	Wieczorek, Radosław.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	viii, 126 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Mathematical and Computational Biology. -
電子資源:	https://doi.org/10.1007/978-3-031-75270-4
ISBN:	9783031752704

Individual-based models and their limits
Rudnicki, Ryszard.

Individual-based models and their limits[electronic resource] /by Ryszard Rudnicki, Radosław Wieczorek. - Cham :Springer Nature Switzerland :2024. - viii, 126 p. :ill., digital ;24 cm. - SpringerBriefs in mathematical methods,2365-0834. - SpringerBriefs in mathematical methods..

- 1. Models -- 2. Limit Passages -- 3. Central Limit-type Theorems -- 4. Selected Superprocesses -- 5. Phenotype Models -- 6. Modelling of Phytoplankton Dynamics -- 7. Chemotaxis Models.

Individual-based models (IBM) describe a population as a collection of different organisms whose local interactions determine the behaviour of the entire population. The individual description is convenient for computer simulations and the determination of various model parameters, and appropriate limit passages lead to the transport equations used in classical population dynamics models. The aim of this book is to provide a brief mathematical introduction to IBMs and their application to selected biological topics. The book is divided into seven chapters. In the first chapter we give a general description of IBMs and we present examples of models to illustrate their possible applications. Examples of applications include age, size and phenotype models, coagulation-fragmentation process, and models of genome evolution. The second chapter contains some theoretical results concerning limit passages from IBMs to phenotype and age-structured models. The rate of this convergence formulated as functional central limit theorems is presented in Chapter 3. As a result of the limit passage can be a superprocess, i.e., a stochastic process with values in a space of measures. Chapter 4 presented examples of such passages: from the branching Brownian motion to the Dawson--Watanabe superprocess and from the Moran's model of genetic drift with mutations to the Fleming--Viot superprocess. The next three chapters are devoted to models, in which we directly participated in the study. In Chapter 5 we study IBMs phenotype models and their limit passages. We show that random mating stabilises the distribution of traits, while assortative mating can lead to a polymorphic population. Formation of aggregates of phytoplankton and their movement is studied in Chapter 6. We present two types of models based on: fragmentation-coagulation processes; and diffusion with chemical signals leading to advanced superprocesses. Chapter 7 is devoted to rather advanced models with chemotaxis used to description of retinal angiogenesis and cell proliferations. The book is complemented by two appendices in which we have collected information about stochastic processes and various spaces we have used. The book is dedicated both to mathematicians and biologists. The first group will find here new biological models which leads to interesting and often new mathematical questions. Biologists can observe how to include seemingly different biological processes into a unified mathematical theory and deduce from this theory interesting biological conclusions. Apart from the sections on superprocesses, where quite advanced mathematical issues arise, such as stochastic partial equations, we try to keep the required mathematical and biological background to a minimum so that the topics are accessible to students.

ISBN: 9783031752704

Standard No.: 10.1007/978-3-031-75270-4doiSubjects--Topical Terms:

786706
Mathematical and Computational Biology.

LC Class. No.: QH352

Dewey Class. No.: 577.88015118

Individual-based models and their limits
LDR:04048nam a2200337 a 4500 001 1138470
003 DE-He213
005 20241102115739.0
006 m d
007 cr nn 008maaau
008 250117s2024 sz s 0 eng d
020 $a 9783031752704 $q (electronic bk.)
020 $a 9783031752698 $q (paper)
024 7 $a 10.1007/978-3-031-75270-4 $2 doi
035 $a 978-3-031-75270-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QH352
072 7 $a PBW $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PBW $2 thema
082 0 4 $a 577.88015118 $2 23
090 $a QH352 $b .R916 2024
100 1 $a Rudnicki, Ryszard. $3 1199159
245 1 0 $a Individual-based models and their limits $h [electronic resource] / $c by Ryszard Rudnicki, Radosław Wieczorek.
260 $a Cham : $c 2024. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a viii, 126 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in mathematical methods, $x 2365-0834
505 0 $a - 1. Models -- 2. Limit Passages -- 3. Central Limit-type Theorems -- 4. Selected Superprocesses -- 5. Phenotype Models -- 6. Modelling of Phytoplankton Dynamics -- 7. Chemotaxis Models.
520 $a Individual-based models (IBM) describe a population as a collection of different organisms whose local interactions determine the behaviour of the entire population. The individual description is convenient for computer simulations and the determination of various model parameters, and appropriate limit passages lead to the transport equations used in classical population dynamics models. The aim of this book is to provide a brief mathematical introduction to IBMs and their application to selected biological topics. The book is divided into seven chapters. In the first chapter we give a general description of IBMs and we present examples of models to illustrate their possible applications. Examples of applications include age, size and phenotype models, coagulation-fragmentation process, and models of genome evolution. The second chapter contains some theoretical results concerning limit passages from IBMs to phenotype and age-structured models. The rate of this convergence formulated as functional central limit theorems is presented in Chapter 3. As a result of the limit passage can be a superprocess, i.e., a stochastic process with values in a space of measures. Chapter 4 presented examples of such passages: from the branching Brownian motion to the Dawson--Watanabe superprocess and from the Moran's model of genetic drift with mutations to the Fleming--Viot superprocess. The next three chapters are devoted to models, in which we directly participated in the study. In Chapter 5 we study IBMs phenotype models and their limit passages. We show that random mating stabilises the distribution of traits, while assortative mating can lead to a polymorphic population. Formation of aggregates of phytoplankton and their movement is studied in Chapter 6. We present two types of models based on: fragmentation-coagulation processes; and diffusion with chemical signals leading to advanced superprocesses. Chapter 7 is devoted to rather advanced models with chemotaxis used to description of retinal angiogenesis and cell proliferations. The book is complemented by two appendices in which we have collected information about stochastic processes and various spaces we have used. The book is dedicated both to mathematicians and biologists. The first group will find here new biological models which leads to interesting and often new mathematical questions. Biologists can observe how to include seemingly different biological processes into a unified mathematical theory and deduce from this theory interesting biological conclusions. Apart from the sections on superprocesses, where quite advanced mathematical issues arise, such as stochastic partial equations, we try to keep the required mathematical and biological background to a minimum so that the topics are accessible to students.
650 2 4 $a Mathematical and Computational Biology. $3 786706
650 1 4 $a Applications of Mathematics. $3 669175
650 0 $a Population biology $x Mathematical models. $3 527869
700 1 $a Wieczorek, Radosław. $3 1462196
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in mathematical methods. $3 1462197
856 4 0 $u https://doi.org/10.1007/978-3-031-75270-4
950 $a Mathematics and Statistics (SpringerNature-11649)