Biodiversity and Environmental Change Series: mathematical models of biological invasion(Chinese Edition)

Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date: 2013 Pages: 266 Language: Chinese in Publisher: Higher Education Press Biodiversity and Environmental Change Series: mathematical models of biological invasion. the latest research results of the mathematical model describes biological invasion. including population and community non-spatial dynamics model. reaction-diffusion model. differential - integral model. the space-time discrete model. stochastic model. the exact solution of the model as well as a realistic example of biological invasion. Biodiversity and Environmental Change Series: mathematical models of biological invasion content enrichment. mathematical analysis and computer simulation of organic combination. to reflect more fully the forefront of the current domestic and foreign biological invasion dynamics direction and research trends. Biodiversity and Environmental Change Series: mathematical models of biological invasion layman's language. both to the general reader familiar with the study of mathematical models of biological invasion as soon as possible. but also can help readers self-based in-depth study of biological invasion dynamics. The book is available for the College Department of Mathematics. Department of Biology and Agriculture. forestry. medicine and other related majors. graduate students. teachers. and science and technology workers use and reference. Contents: Chapter 1 Introduction 1.1 The biological invasion of ecological significance 1.2 modeling of biological invasion basic 1.3 research advances Chapter 2 non-spatial dynamics of populations and communities Model Overview 2.1 Single Population continuous and discrete model 2.2 Multigroup continuous homogeneous space model of the reaction-diffusion model of continuous and discrete model of Chapter 3 biological invasion of pathogenic organisms and the discrete model 2.3 3.1 Single Species reaction-diffusion model 3.1.1 3.1.2 convection (tendency) and immigration homogeneous space model 3.1 3.2.3 Multigroup 3.2 Multigroup .3 heterogeneous space model reaction-diffusion model 3.2.1 - system spatial dynamics 3.2.2 Multigroup monotonic traveling wave solutions of model space Pattern Dynamics 3.3 organism reaction-diffusion the 4.1.2 kernel function of the forecast and the actual data model Chapter 4 biological invasion differential - integral model 410 single population differential - integral model 4.1.1 kernel function 4.2 Multigroup population continued invasion differential - integral model 5.1 Single Species space-time discrete model of the biological invasions space-time discrete model 4.3 the pathogenic organisms Differential - Integral Model Chapter 5 Chapter 6 of the 5.2 group of space-time discrete model 5.3 pathogenic organisms space-time discrete model stochastic models of biological invasions 6.1 single population random model 6.2 Multigroup random the model 6.2.1 predation model 6.2.2 Competition Model 6.2.3 other models 6.3 pathogenic organisms Chapter 7 of the stochastic model for biological invasions exact solution 7.1 construct the exact solution of the model 7.1.1 Cole-Hopf transformation and the exact solution of the exact solution of the Burgers equation 7.1.2 Cole-Hopf transform further application 7.1.3 piecewise linear approximation method 7.2 Logistic growth and strong Allee effect population model 7.2.1 Logistic growth population 7.2.2 strong Allee effect population model further analysis of the exact solution 7.3 Exact solution of the generalized Fisher equation the assumption 7.3.1 solution structure 7.3.2 solution structural assumptions Law 7.3.3 Ablowitz-Zeppetella 7.4 predation exact solution of the diffusion system and its nature 7.4.1 predator diffusion system 7.4.2 The exact solution of the exact solution of the nature of 7.5 of the specification of the exact solution derivation. instance of the application of mathematical models of biologi.…