Numerical Analysis for Engineers and Scientists, Miller

Автор: Holzman
Название: Mathematical Programming for Operations Researchers and Computer Scientists
ISBN: 0824714997 ISBN-13(EAN): 9780824714994
Издательство: Taylor&Francis
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Цена: 38280.00 р.
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Описание: This book covers the fundamentals of linear programming, extension of linear programming to discrete optimization methods, multi-objective functions, quadratic programming, geometric programming, and classical calculus methods for solving nonlinear programming problems.

Автор: Simon Marvin K., Riedel Eibe
Название: Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists
ISBN: 0387346570 ISBN-13(EAN): 9780387346571
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.

Автор: Kincaid, David Cheney, Ward
Название: Numerical analysis
ISBN: 0821847880 ISBN-13(EAN): 9780821847886
Издательство: Mare Nostrum (Eurospan)
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Цена: 15206.00 р.
Наличие на складе: Нет в наличии.

Описание: Introduces students with diverse backgrounds to various types of mathematical analysis that are commonly needed in scientific computing. This title treats the subject of numerical analysis from a mathematical point of view, offering an analysis of methods for scientific computing with appropriate motivations and proofs.

Автор: Co
Название: Methods of Applied Mathematics for Engineers and Scientists
ISBN: 1107004128 ISBN-13(EAN): 9781107004122
Издательство: Cambridge Academ
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Цена: 14571.00 р.
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Описание: Based on course notes from over twenty years of teaching engineering and physical sciences at Michigan Technological University, Tomas Co's engineering mathematics textbook is rich with examples, applications and exercises. Professor Co uses analytical approaches to solve smaller problems to provide mathematical insight and understanding, and numerical methods for large and complex problems. The book emphasises applying matrices with strong attention to matrix structure and computational issues such as sparsity and efficiency. Chapters on vector calculus and integral theorems are used to build coordinate-free physical models with special emphasis on orthogonal co-ordinates. Chapters on ODEs and PDEs cover both analytical and numerical approaches. Topics on analytical solutions include similarity transform methods, direct formulas for series solutions, bifurcation analysis, Lagrange–Charpit formulas, shocks/rarefaction and others. Topics on numerical methods include stability analysis, DAEs, high-order finite-difference formulas, Delaunay meshes, and others. MATLAB® implementations of the methods and concepts are fully integrated.