Mathematical Modeling

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A01=Crista Arangala
A01=Karen A. Yokley
A01=Nicolas S. Luke
advanced mathematical modeling applications
Agent Based Model
Applications
Author_Crista Arangala
Author_Karen A. Yokley
Author_Nicolas S. Luke
Bull Elephants
CAS
Category=PBKJ
Category=PBWH
Cellular Automaton
Comedy Commercials
Difference Equation Model
Differential Equation
Differential Equation Model
Discrete Stochastic Processes
epidemic simulation
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
equilibrium analysis
Equity Autos
Exploratory Learning
Football Commercials
Horizontal Asymptote
Introductory Differential Equations
Karen A. Yokley
Mathematica
Mathematical biology
Mathematical modeling
MATLAB computational methods
matrix population models
Mixed Strategy Equilibria
Nash Equilibrium
Nicholas S. Luke
Order Differential Equation
Payoff Matrix
Pivot Column
Seed Points
signal processing techniques
Simplex Method
stochastic modeling
Tamil Nadu
Transition Matrix
Voronoi Cells
Voronoi Diagram
White Cell

Product details

  • ISBN 9781032476339
  • Weight: 700g
  • Dimensions: 156 x 234mm
  • Publication Date: 21 Jan 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Mathematical Modeling: Branching Beyond Calculus reveals the versatility of mathematical modeling. The authors present the subject in an attractive manner and flexibley manner. Students will discover that the topic not only focuses on math, but biology, engineering, and both social and physical sciences.

The book is written in a way to meet the needs of any modeling course. Each chapter includes examples, exercises, and projects offering opportunities for more in-depth investigations into the world of mathematical models. The authors encourage students to approach the models from various angles while creating a more complete understanding. The assortment of disciplines covered within the book and its flexible structure produce an intriguing and promising foundation for any mathematical modeling course or for self-study.

Key Features:



  • Chapter projects guide more thorough investigations of the models




  • The text aims to expand a student’s communication skills and perspectives




  • WThe widespread applications are incorporated, even includinge biology and social sciences




  • Its structure allows it to serve as either primary or supplemental text




  • Uses Mathematica and MATLAB are used to develop models and computations

Dr. Crista Arangala is a professor at Elon University with a Ph.D. in mathematics from the University of Cincinnati. She teaches and researches areas from mathematical modeling to learning service education. Together with her Elon students, she runs a traveling science museum in Kerala, India. She also authored the book Exploring Linear Algebra: Labs and Projects Using Mathematica. In 2014 she was named a Fulbright Scholar.

Dr. Nicholas S. Luke is an associate professor at North Carolina Agricultural and Technical State University with a Ph.D. in computational applied mathematics from North Carolina State University. He has won multiple teaching awards for his approach to courses from college algebra to differential equations. Currently, he focuses his research on mathematical modeling of biological systems.

Dr. Karen A. Yokley is an associate professor at Elon University with a Ph.D. in computational applied mathematics from North Carolina State University. She teaches various undergraduate mathematics courses, and her research interests include modeling biological systems with ordinary differential equations. She co-authored the book, Exploring Calculus: Labs and Projects Using Mathematica, with Dr. Arangala.

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