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Finite Difference Methods for Ordinary and Partial Differential Equations - Steady-state and Time-dependent Problems (Paperback)
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Finite Difference Methods for Ordinary and Partial Differential Equations - Steady-state and Time-dependent Problems (Paperback)
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This book introduces finite difference methods for both ordinary
differential equations (ODEs) and partial differential equations
(PDEs) and discusses the similarities and differences between
algorithm design and stability analysis for different types of
equations. A unified view of stability theory for ODEs and PDEs is
presented, and the interplay between ODE and PDE analysis is
stressed. The text emphasizes standard classical methods, but
several newer approaches also are introduced and are described in
the context of simple motivating examples. The book is organized
into two main sections and a set of appendices. Part I addresses
steady-state boundary value problems, starting with two-point
boundary value problems in one dimension, followed by coverage of
elliptic problems in two and three dimensions. It concludes with a
chapter on iterative methods for large sparse linear systems that
emphasizes systems arising from difference approximations. Part II
addresses time-dependent problems, starting with the initial value
problem for ODEs, moving on to initial boundary value problems for
parabolic and hyperbolic PDEs, and concluding with a chapter on
mixed equations combining features of ODEs, parabolic equations,
and hyperbolic equations. The appendices cover concepts pertinent
to Parts I and II. Exercises and student projects, developed in
conjunction with this book, are available on the book's webpage
along with numerous MATLAB m-files. Readers will gain an
understanding of the essential ideas that underlie the development,
analysis, and practical use of finite difference methods as well as
the key concepts of stability theory, their relation to one
another, and their practical implications. The author provides a
foundation from which students can approach more advanced topics
and further explore the theory and/or use of finite difference
methods according to their interests and needs.
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