Calculus for Scientists and Engineers, Brokate Martin, Manchanda Pammy, Siddiqi Abul Hasan

Автор: Spivak Michael
Название: Calculus
ISBN: 0521867444 ISBN-13(EAN): 9780521867443
Издательство: Cambridge Academ
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Цена: 51750.00 T
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Описание: Spivak`s celebrated Calculus combines leisurely explanations, a profusion of examples, a wide range of exercises and plenty of illustrations in an easy-going approach that enlightens difficult concepts and rewards effort. Ideal for honours students and mathematics majors seeking an alternative to doorstop textbooks and more formidable introductions to real analysis.

Автор: Ken Binmore, Davies J.
Название: Calculus: Concepts and methods, 2nd ed.
ISBN: 0521775418 ISBN-13(EAN): 9780521775410
Издательство: Cambridge Academ
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Цена: 64410.00 T
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Описание: Takes readers gently from single to multivariate calculus and simple differential and difference equations. Unusually the book offers a wide range of applications in business and economics, as well as more conventional scientific examples. Full colour Mathematica diagrams have been used to give accurate and attractive diagrams to help students visualise the complex mathematical objects.

Автор: Miller
Название: Numerical Analysis for Engineers and Scientists
ISBN: 1107021081 ISBN-13(EAN): 9781107021082
Издательство: Cambridge Academ
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Цена: 70750.00 T
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Описание: Striking a balance between theory and practice, this graduate-level text is perfect for students in the applied sciences. It provides full coverage of classical methods with a clear explanation of how they work, together with sample programs and many practical examples to help students get started.

Автор: Kiusalaas
Название: Numerical Methods in Engineering with MATLAB
ISBN: 1107120578 ISBN-13(EAN): 9781107120570
Издательство: Cambridge Academ
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Цена: 92930.00 T
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Описание: The third edition of this text describes a range of widely used numerical methods, with an emphasis on problem solving. Every method is discussed thoroughly and illustrated with problems involving both hand computation and programming. MATLAB (R) M-files accompany each method and are available online, as are solutions to the problems.

Автор: Tsung-Ming Huang, Ren-Cang Li, Wen-Wei Lin
Название: Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations
ISBN: 1611975352 ISBN-13(EAN): 9781611975352
Издательство: Mare Nostrum (Eurospan)
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Цена: 53090.00 T
Наличие на складе: Невозможна поставка.
Описание: Nonlinear matrix equations arise frequently in applied science and engineering. This is the first book to provide a unified treatment of structure-preserving doubling algorithms, which have been recently studied and proven effective for notoriously challenging problems, such as fluid queue theory and vibration analysis for high-speed trains. The authors present recent developments and results for the theory of doubling algorithms for nonlinear matrix equations associated with regular matrix pencils, and highlight the use of these algorithms in achieving robust solutions for notoriously challenging problems that other methods cannot.Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations is intended for researchers and computational scientists. Graduate students may also find it of interest.

Автор: Martin Brokate; Pammy Manchanda; Abul Hasan Siddiq
Название: Calculus for Scientists and Engineers
ISBN: 9811384630 ISBN-13(EAN): 9789811384639
Издательство: Springer
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Цена: 51230.00 T
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Описание: This book presents the basic concepts of calculus and its relevance to real-world problems, covering the standard topics in their conventional order. By focusing on applications, it allows readers to view mathematics in a practical and relevant setting. Organized into 12 chapters, this book includes numerous interesting, relevant and up-to date applications that are drawn from the fields of business, economics, social and behavioural sciences, life sciences, physical sciences, and other fields of general interest. It also features MATLAB, which is used to solve a number of problems. The book is ideal as a first course in calculus for mathematics and engineering students. It is also useful for students of other sciences who are interested in learning calculus.

Автор: Axel Malqvist, Daniel Peterseim
Название: Numerical Homogenization by Localized Orthogonal Decomposition
ISBN: 1611976448 ISBN-13(EAN): 9781611976441
Издательство: Mare Nostrum (Eurospan)
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Цена: 40970.00 T
Наличие на складе: Нет в наличии.
Описание: This book presents the first survey of the Localized Orthogonal Decomposition (LOD) method, a pioneering approach for the numerical homogenization of partial differential equations with multiscale data beyond periodicity and scale separation. The authors provide a careful error analysis, including previously unpublished results, and a complete implementation of the method in MATLAB. They also reveal how the LOD method relates to classical homogenization and domain decomposition. Illustrated with numerical experiments that demonstrate the significance of the method, the book is enhanced by a survey of applications including eigenvalue problems and evolution problems.Numerical Homogenization by Localized Orthogonal Decomposition is appropriate for graduate students in applied mathematics, numerical analysis, and scientific computing. Researchers in the field of computational partial differential equations will find this self-contained book of interest, as will applied scientists and engineers interested in multiscale simulation.

Автор: Ed Bueler
Название: PETSc for Partial Differential Equations: Numerical Solutions in C and Python
ISBN: 1611976308 ISBN-13(EAN): 9781611976304
Издательство: Mare Nostrum (Eurospan)
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Цена: 81090.00 T
Наличие на складе: Невозможна поставка.
Описание: The Portable, Extensible Toolkit for Scientific Computation (PETSc) is an open-source library of advanced data structures and methods for solving linear and nonlinear equations and for managing discretizations. This book uses these modern numerical tools to demonstrate how to solve nonlinear partial differential equations (PDEs) in parallel. It starts from key mathematical concepts, such as Krylov space methods, preconditioning, multigrid, and Newton’s method. In PETSc these components are composed at run time into fast solvers.Discretizations are introduced from the beginning, with an emphasis on finite difference and finite element methodologies. The example C programs of the first 12 chapters, listed on the inside front cover, solve (mostly) elliptic and parabolic PDE problems. Discretization leads to large, sparse, and generally nonlinear systems of algebraic equations. For such problems, mathematical solver concepts are explained and illustrated through the examples, with sufficient context to speed further development. PETSc for Partial Differential Equations addresses both discretizations and fast solvers for PDEs, emphasizing practice more than theory. Well-structured examples lead to run-time choices that result in high solver performance and parallel scalability. The last two chapters build on the reader’s understanding of fast solver concepts when applying the Firedrake Python finite element solver library. This textbook, the first to cover PETSc programming for nonlinear PDEs, provides an on-ramp for graduate students and researchers to a major area of high-performance computing for science and engineering. It is suitable as a supplement for courses in scientific computing or numerical methods for differential equations.

Автор: Bender, Carl M. (washington University, Usa) Orsza
Название: Advanced mathematical methods for scientists and engineers
ISBN: 1441931872 ISBN-13(EAN): 9781441931870
Издательство: Springer
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Цена: 68900.00 T
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Описание: This book gives a clear, practical and self-contained presentation of the methods of asymptotics and perturbation theory and explains how to use these methods to obtain approximate analytical solutions to differential and difference equations. These methods allow one to analyze physics and engineering problems that may not be solvable in closed form and for which brute-force numerical methods may not converge to useful solutions. The objective of this book is to teaching the insights and problem-solving skills that are most useful in solving mathematical problems arising in the course of modern research. Intended for graduate students and advanced undergraduates, the book assumes only a limited familiarity with differential equations and complex variables. The presentation begins with a review of differential and difference equations; develops local asymptotic methods for differential and difference equations; explains perturbation and summation theory; and concludes with a an exposition of global asymptotic methods, including boundary-layer theory, WKB theory, and multiple-scale analysis. Emphasizing applications, the discussion stresses care rather than rigor and relies on many well-chosen examples to teach the reader how an applied mathematician tackles problems. There are 190 computer-generated plots and tables comparing approximate and exact solutions; over 600 problems, of varying levels of difficulty; and an appendix summarizing the properties of special functions.

Автор: Stewart, Sean M.
Название: How to integrate it
ISBN: 1108408192 ISBN-13(EAN): 9781108408196
Издательство: Cambridge Academ
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Цена: 46470.00 T
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Описание: This practical guide demystifies the art of integration. Each chapter explains a particular technique of elementary integration through thorough explanations, worked examples and numerous exercises ranging from the routine to the challenging. It may serve as a complete introduction, or as a supplementary text for any beginning course in calculus.

Автор: John M. Stewart
Название: Python for Scientists
ISBN: 1316641236 ISBN-13(EAN): 9781316641231
Издательство: Cambridge Academ
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Цена: 33780.00 T
Наличие на складе: Поставка под заказ.
Описание: Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets. Everything the working scientist needs to know is covered, quickly providing researchers and research students with the skills to start using Python effectively.