Description
A Theoretical Introduction to Numerical Analysis
Authors: Ryaben'kii Victor S., Tsynkov Semyon V.
Language: EnglishSubjects for A Theoretical Introduction to Numerical Analysis:
Keywords
Chebyshev Grids; linear; QR Factorization; algebraic; Auxiliary Function; equations; Exterior Dirichlet Problem; dirichlet; Algebraic Interpolation; problem; Trigonometric Interpolation; helmholtz; Interpolating Polynomial; equation; Dirichlet Problem; finite; Difference Potentials; difference; Uniform Cartesian Grid; scheme; Chebyshev Polynomials; numerical analysis; Boundary Integral Equations; mathematical models; Classical Potential Theory; linear algebra; Helmholtz Equation; differential equations; Finite Difference Scheme; Algebraic Polynomial; Weak Solution; Helmholtz Operator; Boundary Equation; Grid Nodes; Lebesgue Constants; Integral Conservation Law; Friedrichs Inequality; Double Layer Potential; Burgers Equation
77.28 €
In Print (Delivery period: 14 days).
Add to cart the book of Ryaben'kii Victor S., Tsynkov Semyon V.Publication date: 12-2019
· 15.6x23.4 cm · Paperback
129.87 €
Subject to availability at the publisher.
Add to cart the book of Ryaben'kii Victor S., Tsynkov Semyon V.Publication date: 11-2006
356 p. · 15.6x23.4 cm · Hardback
Description
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A Theoretical Introduction to Numerical Analysis presents the general methodology and principles of numerical analysis, illustrating these concepts using numerical methods from real analysis, linear algebra, and differential equations. The book focuses on how to efficiently represent mathematical models for computer-based study.
An accessible yet rigorous mathematical introduction, this book provides a pedagogical account of the fundamentals of numerical analysis. The authors thoroughly explain basic concepts, such as discretization, error, efficiency, complexity, numerical stability, consistency, and convergence. The text also addresses more complex topics like intrinsic error limits and the effect of smoothness on the accuracy of approximation in the context of Chebyshev interpolation, Gaussian quadratures, and spectral methods for differential equations. Another advanced subject discussed, the method of difference potentials, employs discrete analogues of Calderon?s potentials and boundary projection operators. The authors often delineate various techniques through exercises that require further theoretical study or computer implementation.
By lucidly presenting the central mathematical concepts of numerical methods, A Theoretical Introduction to Numerical Analysis provides a foundational link to more specialized computational work in fluid dynamics, acoustics, and electromagnetism.