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A Concise Introduction to Geometric Numerical Integration (Hardcover)
Loot Price: R4,871
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A Concise Introduction to Geometric Numerical Integration (Hardcover)
Series: Chapman & Hall/CRC Monographs and Research Notes in Mathematics
Expected to ship within 12 - 17 working days
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Discover How Geometric Integrators Preserve the Main Qualitative
Properties of Continuous Dynamical Systems A Concise Introduction
to Geometric Numerical Integration presents the main themes,
techniques, and applications of geometric integrators for
researchers in mathematics, physics, astronomy, and chemistry who
are already familiar with numerical tools for solving differential
equations. It also offers a bridge from traditional training in the
numerical analysis of differential equations to understanding
recent, advanced research literature on numerical geometric
integration. The book first examines high-order classical
integration methods from the structure preservation point of view.
It then illustrates how to construct high-order integrators via the
composition of basic low-order methods and analyzes the idea of
splitting. It next reviews symplectic integrators constructed
directly from the theory of generating functions as well as the
important category of variational integrators. The authors also
explain the relationship between the preservation of the geometric
properties of a numerical method and the observed favorable error
propagation in long-time integration. The book concludes with an
analysis of the applicability of splitting and composition methods
to certain classes of partial differential equations, such as the
Schroedinger equation and other evolution equations. The motivation
of geometric numerical integration is not only to develop numerical
methods with improved qualitative behavior but also to provide more
accurate long-time integration results than those obtained by
general-purpose algorithms. Accessible to researchers and
post-graduate students from diverse backgrounds, this introductory
book gets readers up to speed on the ideas, methods, and
applications of this field. Readers can reproduce the figures and
results given in the text using the MATLAB (R) programs and model
files available online.
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