標(biāo)題: Titlebook: An Invitation to Mathematical Biology; David G Costa,Paul J Schulte Textbook 2023 The Editor(s) (if applicable) and The Author(s), under e [打印本頁(yè)] 作者: T-Lymphocyte 時(shí)間: 2025-3-21 17:16
書(shū)目名稱An Invitation to Mathematical Biology影響因子(影響力)
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書(shū)目名稱An Invitation to Mathematical Biology讀者反饋
書(shū)目名稱An Invitation to Mathematical Biology讀者反饋學(xué)科排名
作者: Feedback 時(shí)間: 2025-3-21 23:42
978-3-031-40260-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Ethics 時(shí)間: 2025-3-22 04:15 作者: 手榴彈 時(shí)間: 2025-3-22 05:23
Fixed Points, Stability, and Cobwebbing, in Eq. .. In this chapter, we shall consider a general form of a Discrete Time Model (also called a “Discrete Dynamical System” in mathematics). We will introduce methods for determining the fixed points (values of the population size (.) which do not change for future time steps), and the stability of these fixed points.作者: optional 時(shí)間: 2025-3-22 08:50
Infectious Disease Models,ous diseases is likely to be quite enhanced. Therefore, this chapter will provide an introduction to some of the mathematical modeling approaches to the spread and dynamics of infectious diseases among the human population.作者: 移動(dòng) 時(shí)間: 2025-3-22 12:58 作者: Influx 時(shí)間: 2025-3-22 19:40
Aktivistenprofil Tim DeChristopherWe can also develop models for the interaction between hosts and parasitoid insects. We will see these are related to our previous predator-prey models in Chap. ., although the host-parasitoid model presented here is for a discrete system.作者: 破譯密碼 時(shí)間: 2025-3-22 21:25 作者: 流浪 時(shí)間: 2025-3-23 05:16
Host-Parasitoid Models,We can also develop models for the interaction between hosts and parasitoid insects. We will see these are related to our previous predator-prey models in Chap. ., although the host-parasitoid model presented here is for a discrete system.作者: impaction 時(shí)間: 2025-3-23 08:53 作者: 一美元 時(shí)間: 2025-3-23 13:05
https://doi.org/10.1007/978-3-663-09726-6n as we shall see next. Typical examples of such growth and decay situations, which are rather exact and appear in most calculus books, are bacteria growth, infectious disease recovery, and radioactive decay (an interested reader may want to check “compound interest” as related to exponential growth作者: TOXIC 時(shí)間: 2025-3-23 17:56 作者: 先兆 時(shí)間: 2025-3-23 20:32
Donatella della Porta,Louisa Parks in Eq. .. In this chapter, we shall consider a general form of a Discrete Time Model (also called a “Discrete Dynamical System” in mathematics). We will introduce methods for determining the fixed points (values of the population size (.) which do not change for future time steps), and the stabilit作者: 棲息地 時(shí)間: 2025-3-23 22:17
Die internationale Klimabewegungs. In this chapter, we shall consider a biology application to Population Genetics. The first application will consider wing color in moths in the case where two phenotypes (the outward expression of a trait) are present: moths with white or black wings. Next, we will expand this to a situation wher作者: Haphazard 時(shí)間: 2025-3-24 06:00
Bürgergesellschaft und Demokratied in the medium, which practically speaking would lead to an eventual leveling of the number of bacteria. In this chapter, we will derive a Continuous Time Model for the phenomenon of logistic growth. Next, we will develop an approach, called phase-line analysis, to find steady states and assess the作者: corpuscle 時(shí)間: 2025-3-24 09:48 作者: 不可接觸 時(shí)間: 2025-3-24 12:02
Donatella della Porta,Louisa Parksit, a decidedly unrealistic result from a biological perspective. In a model of exponential growth of a single population, we could approach the similar problem of unlimited growth by adding a term for competition within the population (intraspecific), that term including a carrying capacity. Here, 作者: Predigest 時(shí)間: 2025-3-24 15:24
Donatella della Porta,Louisa Parksous diseases is likely to be quite enhanced. Therefore, this chapter will provide an introduction to some of the mathematical modeling approaches to the spread and dynamics of infectious diseases among the human population.作者: 燕麥 時(shí)間: 2025-3-24 19:50
https://doi.org/10.1007/978-3-662-26198-9ght absorbed or radiation emitted at infrared wavelengths), exchange with the air or other fluids in convection, heat conducted between the organism and a physical surface, and energy associated with the evaporation of water through its latent heat of vaporization. In this chapter, we will consider 作者: WAX 時(shí)間: 2025-3-25 02:16 作者: 執(zhí) 時(shí)間: 2025-3-25 03:37 作者: geometrician 時(shí)間: 2025-3-25 07:48
https://doi.org/10.1007/978-3-663-09726-6n as we shall see next. Typical examples of such growth and decay situations, which are rather exact and appear in most calculus books, are bacteria growth, infectious disease recovery, and radioactive decay (an interested reader may want to check “compound interest” as related to exponential growth).作者: Missile 時(shí)間: 2025-3-25 15:08
Donatella della Porta,Louisa Parks in Eq. .. In this chapter, we shall consider a general form of a Discrete Time Model (also called a “Discrete Dynamical System” in mathematics). We will introduce methods for determining the fixed points (values of the population size (.) which do not change for future time steps), and the stability of these fixed points.作者: deviate 時(shí)間: 2025-3-25 16:09 作者: 充滿人 時(shí)間: 2025-3-25 21:39
e interdisciplinary field of mathematical biology in a way that does not overly terrify an undergraduate biology major, thereby fostering a greater appreciation for the role of mathematics in biology.978-3-031-40260-9978-3-031-40258-6作者: 陰謀 時(shí)間: 2025-3-26 02:39
Introduction,logy has become increasingly important, as noted in the Math 2025 report (National Research Council 2013). Computational biology has been defined by some as equivalent to bioinformatics, but we choose a broader definition encompassing any use of computational approaches to studying biological system作者: 拉開(kāi)這車(chē)床 時(shí)間: 2025-3-26 06:55
Zusammenfassung der Ergebnisse,logy has become increasingly important, as noted in the Math 2025 report (National Research Council 2013). Computational biology has been defined by some as equivalent to bioinformatics, but we choose a broader definition encompassing any use of computational approaches to studying biological system作者: 極端的正確性 時(shí)間: 2025-3-26 09:34
Introduction,cal processes. This may involve traditional mathematics such as developing analytical solutions but also numerical, computational approaches utilizing computational methods. Therefore, we will describe some of these numerical methods, and we will also provide tutorials in the use of a few computer s作者: ironic 時(shí)間: 2025-3-26 16:12 作者: allergen 時(shí)間: 2025-3-26 19:16
Discrete Time Models,e measurements were taken at discrete times (hours, in that case), the population did not grow without limit but tended to level off in an S-shape form, called a “l(fā)ogistic curve.” What happened here was that, due to the limited amount of food in the medium, the growth of bacteria cells slowed down d作者: Flavouring 時(shí)間: 2025-3-26 21:03
Fixed Points, Stability, and Cobwebbing, in Eq. .. In this chapter, we shall consider a general form of a Discrete Time Model (also called a “Discrete Dynamical System” in mathematics). We will introduce methods for determining the fixed points (values of the population size (.) which do not change for future time steps), and the stabilit作者: Ornithologist 時(shí)間: 2025-3-27 03:35 作者: Flatter 時(shí)間: 2025-3-27 07:47 作者: ANIM 時(shí)間: 2025-3-27 11:16
Organism-Organism Interaction Models,manner. The nature of the interactions can take on several forms (see Beltrami 1987; Murray 2002). Organisms can compete for resources, they can involve one group that is a predator and the other a prey, or they may have an interaction that is beneficial to both groups, termed a mutualism. First, le作者: angiography 時(shí)間: 2025-3-27 13:53 作者: 逗留 時(shí)間: 2025-3-27 18:19
Infectious Disease Models,ous diseases is likely to be quite enhanced. Therefore, this chapter will provide an introduction to some of the mathematical modeling approaches to the spread and dynamics of infectious diseases among the human population.作者: 人工制品 時(shí)間: 2025-3-28 00:33
Organism Environment Interactions,ght absorbed or radiation emitted at infrared wavelengths), exchange with the air or other fluids in convection, heat conducted between the organism and a physical surface, and energy associated with the evaporation of water through its latent heat of vaporization. In this chapter, we will consider 作者: 陪審團(tuán)每個(gè)人 時(shí)間: 2025-3-28 03:01
Discrete Time Models,ue to competition for food and, as a consequence, the population also started to grow at a slower pace tending more and more to stabilize in growth. In this chapter, we will present a general model for such growth along with two alternative models.作者: 流出 時(shí)間: 2025-3-28 08:06 作者: Wordlist 時(shí)間: 2025-3-28 11:07
Textbook 2023introductory course.? Although there are many good mathematical biology texts available, most books are too advanced mathematically for most biology majors.? Unlike undergraduate math majors, most biology major students possess a limited math background. Given that computational biology is a rapidly作者: LVAD360 時(shí)間: 2025-3-28 17:11
Textbook 2023 Ultimately, our goal with this undergraduate textbook is to provide an introduction to the interdisciplinary field of mathematical biology in a way that does not overly terrify an undergraduate biology major, thereby fostering a greater appreciation for the role of mathematics in biology.作者: 延期 時(shí)間: 2025-3-28 21:28 作者: 縱欲 時(shí)間: 2025-3-29 01:44 作者: dainty 時(shí)間: 2025-3-29 05:47
https://doi.org/10.1007/978-3-658-01970-9ve one group that is a predator and the other a prey, or they may have an interaction that is beneficial to both groups, termed a mutualism. First, let’s consider how we will model the process of interactions. How many interactions occur in a given time?作者: Isthmus 時(shí)間: 2025-3-29 09:53 作者: bile648 時(shí)間: 2025-3-29 13:10
Population Genetics Models,e where two phenotypes (the outward expression of a trait) are present: moths with white or black wings. Next, we will expand this to a situation where three phenotypes are present, with white, black, or gray wing colors.作者: 砍伐 時(shí)間: 2025-3-29 16:51 作者: 拔出 時(shí)間: 2025-3-29 22:55
Competition Models with Logistic Term,ar problem of unlimited growth by adding a term for competition within the population (intraspecific), that term including a carrying capacity. Here, we will try a similar approach (see Beltrami 1987; Murray 2002).作者: 輕信 時(shí)間: 2025-3-30 00:17 作者: 進(jìn)入 時(shí)間: 2025-3-30 07:29 作者: DEAWL 時(shí)間: 2025-3-30 10:10 作者: Paleontology 時(shí)間: 2025-3-30 13:08 作者: 采納 時(shí)間: 2025-3-30 19:25
