Real Analysis and Applications: Theory in Practice
Real Analysis and Applications: Theory in Practice
Publisher: Springer | Pages: 516 | 2009-10-28 | ISBN 0387980970 | PDF | 3.7 MB
This new approach to real analysis stresses the use of the subject in applications, by showing how the principles and theory of real analysis can be applied in a variety of settings in subjects ranging from Fourier series and polynomial approximation to discrete dynamical systems and nonlinear optimization. Users will be prepared for more intensive work in each topic through these applications and their accompanying exercises. Chapter topics under the abstract analysis heading include: the real numbers, series, the topology of R^n, functions, normed vector spaces, differentiation and integration, and limits of functions. Applications cover approximation by polynomials, discrete dynamical systems, differential equations, Fourier series and physics, Fourier series and approximation, wavelets, and convexity and optimization. This book is appropriate for math enthusiasts with a prior knowledge of both calculus and linear algebra.
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Real Analysis and Applications: Theory in Practice
Publisher: Springer | Pages: 516 | 2009-10-28 | ISBN 0387980970 | PDF | 3.7 MB
This new approach to real analysis stresses the use of the subject in applications, by showing how the principles and theory of real analysis can be applied in a variety of settings in subjects ranging from Fourier series and polynomial approximation to discrete dynamical systems and nonlinear optimization. Users will be prepared for more intensive work in each topic through these applications and their accompanying exercises. Chapter topics under the abstract analysis heading include: the real numbers, series, the topology of R^n, functions, normed vector spaces, differentiation and integration, and limits of functions. Applications cover approximation by polynomials, discrete dynamical systems, differential equations, Fourier series and physics, Fourier series and approximation, wavelets, and convexity and optimization. This book is appropriate for math enthusiasts with a prior knowledge of both calculus and linear algebra.
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MIRROR 1
mirror 2