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Mathematical Analysis for Modeling de Judah Rosenblatt

Mathematical Analysis for Modeling: Mathematical Modeling

Autor Judah Rosenblatt, Stoughton Bell
en Limba Engleză Paperback – 17 oct 2019
Mathematical Analysis for Modeling is intended for those who want to understand the substance of mathematics, rather than just having familiarity with its techniques. It provides a thorough understanding of how mathematics is developed for and applies to solving scientific and engineering problems. The authors stress the construction of mathematical descriptions of scientific and engineering situations, rather than rote memorizations of proofs and formulas. Emphasis is placed on algorithms as solutions to problems and on insight rather than formal derivations.
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Specificații

ISBN-13: 9780367400101
ISBN-10: 0367400103
Pagini: 880
Dimensiuni: 156 x 234 mm
Greutate: 1.54 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Mathematical Modeling

Cuprins

Finite Differences. Local Linear Description. Graphing and Solution of Equations. Recovering Global Information, Integration. Elementary Transcendental Functions. Taylor's Theorem. Infinite Series. Multivariable Differential Calculus. Coordinate Systems - Linear Algebra. Matrices. Orthogonal Complements. Multivariable Integrals. Preferred Coordinate Systems. Fourier and Other Transforms. Generalized Functions. Appendices. Index.

NTI/Sales Copy

Notă biografică

Rosenblatt, Judah; Bell, Stoughton

Descriere

Mathematical Analysis for Modeling is written for those who want to understand the substance of mathematics, rather than just having a familiarity with its techniques. It provides a thorough understanding of how mathematics is developed for and applies to solving scientific and engineering problems. With a goal-oriented approach and a consistent, simple notation that streamlines the learning process, the authors stress the construction of mathematical descriptions of scientific and engineering situations rather than memorization of proofs and formulas. They emphasize algorithms as solutions to problems and insight rather than formal derivations.