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Fast Track to Differential Equations

Applications-Oriented—Comprehensible—Compact

Gebonden Engels 2021 2e druk 9783030834494
€ 96,99
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Samenvatting

The second edition of this successful textbook includes a significantly extended chapter on Climate Change with an analysis of the CO2 budget. It also contains a completely new part on Epidemiology, treating the SEIR-model which describes the behavior and dynamics of epidemics. In particular, COVID-19 with actual data is discussed. This compact introduction to ordinary differential equations and their applications is aimed at anyone who in their studies is confronted voluntarily or involuntarily with this versatile subject. Numerous applications from physics, technology, biomathematics, cosmology, economy and optimization theory are given. Abstract proofs and unnecessary formalism are avoided as far as possible. The focus is on modelling ordinary differential equations of the first and second orders as well as their analytical and numerical solution methods, in which the theory is dealt with briefly before moving on to application examples. In addition, program codes show exemplarily how even more challenging questions can be tackled and represented meaningfully with the help of a computer algebra system. The first chapter deals with the necessary prior knowledge of integral and differential calculus. 103 motivating exercises together with their solutions round off the work.

 

“I am happy to see such a book. It will serve as a support for many students, professors and faculty.” 

 Dr. Alessio Figalli, Professor at the ETH Zürich and Fields medalist 2018

Specificaties

ISBN13:9783030834494
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer International Publishing
Druk:2

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Inhoudsopgave

Prerequisites from Calculus.- First Order Differential Equations.- First Order Applications.- Second Order Differential Equations and Systems with Applications.- Numerical MethodsWith Applications.- Climate Change, Epidemiolgy, Signal Processing.

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€ 96,99
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          Fast Track to Differential Equations