Mathematical Modeling

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A01=Sandip Banerjee
advanced mathematical modelling techniques
Author_Sandip Banerjee
Bifurcation Diagram
Category=PB
Category=PBKJ
Category=PBWH
Continuous Models
delay systems modelling
Difference Equations
Disease Free Equilibrium
Dynamic Facility Layout Problem
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Equilibrium Points
Gompertz Function
GTA Welding
Increasing Prey Density
Intrinsic Growth Rate
Liquid Crystal Science
Logistic Growth Model
Mathematica Code
mathematical tools
MKS System
Model Analysis
Models Using Diffusion
Neimark Sacker Bifurcation
ordinary differential equations
partial differential equations
Phase Portrait
Pitchfork Bifurcation
population dynamics models
Prey Density
Probability Space
Saddle Node Bifurcation
stability analysis methods
stochastic differential equations
Stochastic Process
Time Series Graph
Unstable Node
Water Wasted

Product details

  • ISBN 9781138495944
  • Weight: 811g
  • Dimensions: 156 x 234mm
  • Publication Date: 06 Dec 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Mathematical Modeling: Models, Analysis and Applications, Second Edition introduces models of both discrete and continuous systems. This book is aimed at newcomers who desires to learn mathematical modeling, especially students taking a first course in the subject. Beginning with the step-by-step guidance of model formulation, this book equips the reader about modeling with difference equations (discrete models), ODE’s, PDE’s, delay and stochastic differential equations (continuous models). This book provides interdisciplinary and integrative overview of mathematical modeling, making it a complete textbook for a wide audience.

A unique feature of the book is the breadth of coverage of different examples on mathematical modelling, which include population models, economic models, arms race models, combat models, learning model, alcohol dynamics model, carbon dating, drug distribution models, mechanical oscillation models, epidemic models, tumor models, traffic flow models, crime flow models, spatial models, football team performance model, breathing model, two neuron system model, zombie model and model on love affairs. Common themes such as equilibrium points, stability, phase plane analysis, bifurcations, limit cycles, period doubling and chaos run through several chapters and their interpretations in the context of the model have been highlighted. In chapter 3, a section on estimation of system parameters with real life data for model validation has also been discussed.

Features

  • Covers discrete, continuous, spatial, delayed and stochastic models.
  • Over 250 illustrations, 300 examples and exercises with complete solutions.
  • Incorporates MATHEMATICA® and MATLAB®, each chapter contains Mathematica and Matlab codes used to display numerical results (available at CRC website).
  • Separate sections for Projects. Several exercise problems can also be used for projects.
  • Presents real life examples of discrete and continuous scenarios.

The book is ideal for an introductory course for undergraduate and graduate students, engineers, applied mathematicians and researchers working in various areas of natural and applied sciences.

Sandip Banerjee is a Professor in the Department of Mathematics, Indian Institute of Technology Roorkee (IITR), India. His areas of research is Mathematical Biology. Mathematical modeling is his passion. Prof. Banerjee was the recipient of the Indo-US Fellowship in 2009 and he was awarded IUSSTF Research Fellow medal by the Indo-US Technology Forum. In addition to several national and international projects, Prof. Banerjee is involved in the Virtual Network in Mathematical Biology project, which promotes Mathematical Biology in India. He has also developed several courses like Differential Equations and Numerical Analysis for e-Pathshala and National Programme on Technology Enhanced Learning (NPTEL) projects, initiated by Ministry of Human Resource Development (MHDR) India.

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