Differential Equations with MATLAB

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A01=Brendan Sainsbury
A01=John Lee
A01=Lonely Planet
A01=Mark McKibben
A01=Micah D. Webster
advanced differential equation analysis
Age Group_Uncategorized
Age Group_Uncategorized
applied physics equations
Author_Brendan Sainsbury
Author_John Lee
Author_Lonely Planet
Author_Mark McKibben
Author_Micah D. Webster
automatic-update
Category1=Non-Fiction
Category=PBKJ
Category=PBWH
Category=TQ
Category=UFM
COP=United Kingdom
Delivery_Pre-order
engineering mathematics applications
eq_bestseller
eq_computing
eq_isMigrated=0
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Language_English
mathematical modeling techniques
neural network dynamics
PA=Not yet available
partial differential systems
pharmacokinetics modeling
Price_€50 to €100
PS=Forthcoming
softlaunch

Product details

  • ISBN 9781032919256
  • Weight: 920g
  • Dimensions: 178 x 254mm
  • Publication Date: 14 Oct 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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A unique textbook for an undergraduate course on mathematical modeling, Differential Equations with MATLAB: Exploration, Applications, and Theory provides students with an understanding of the practical and theoretical aspects of mathematical models involving ordinary and partial differential equations (ODEs and PDEs). The text presents a unifying picture inherent to the study and analysis of more than 20 distinct models spanning disciplines such as physics, engineering, and finance.

The first part of the book presents systems of linear ODEs. The text develops mathematical models from ten disparate fields, including pharmacokinetics, chemistry, classical mechanics, neural networks, physiology, and electrical circuits. Focusing on linear PDEs, the second part covers PDEs that arise in the mathematical modeling of phenomena in ten other areas, including heat conduction, wave propagation, fluid flow through fissured rocks, pattern formation, and financial mathematics.

The authors engage students by posing questions of all types throughout, including verifying details, proving conjectures of actual results, analyzing broad strokes that occur within the development of the theory, and applying the theory to specific models. The authors’ accessible style encourages students to actively work through the material and answer these questions. In addition, the extensive use of MATLAB® GUIs allows students to discover patterns and make conjectures.

Mark McKibben, Micah D. Webster

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