Numerical Geometry, Grid Generation and Scientific Computing, Vladimir A. Garanzha; Lennard Kamenski; Hang Si

Автор: O`leary, Dianne P. (university Of Maryland, Colleg
Название: Scientific computing with case studies
ISBN: 0898716667 ISBN-13(EAN): 9780898716665
Издательство: Mare Nostrum (Eurospan)
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Цена: 93630.00 T
Наличие на складе: Нет в наличии.
Описание: This book is a practical guide to the numerical solution of linear and nonlinear equations, differential equations, optimization problems, and eigenvalue problems. It treats standard problems and introduces important variants such as sparse systems, differential-algebraic equations, constrained optimization, Monte Carlo simulations, and parametric studies. Stability and error analysis are emphasized, and the Matlab algorithms are grounded in sound principles of software design and understanding of machine arithmetic and memory management. Nineteen case studies provide experience in mathematical modeling and algorithm design, motivated by problems in physics, engineering, epidemiology, chemistry, and biology. The topics included go well beyond the standard first-course syllabus, introducing important problems such as differential-algebraic equations and conic optimization problems, and important solution techniques such as continuation methods. The case studies cover a wide variety of fascinating applications, from modeling the spread of an epidemic to determining truss configurations.

Автор: Simona Perotto; Luca Formaggia
Название: New Challenges in Grid Generation and Adaptivity for Scientific Computing
ISBN: 331906052X ISBN-13(EAN): 9783319060521
Издательство: Springer
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Цена: 83850.00 T
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Описание: This volume collects selected contributions from the "Fourth Tetrahedron Workshop on Grid Generation for Numerical Computations", which was held in Verbania, Italy in July 2013.

Автор: Andreas Hohmann; Peter Deuflhard
Название: Numerical Analysis in Modern Scientific Computing
ISBN: 1441929908 ISBN-13(EAN): 9781441929907
Издательство: Springer
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Цена: 68900.00 T
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Описание: This book introduces the main topics of modern numerical analysis: sequence of linear equations, error analysis, least squares, nonlinear systems, symmetric eigenvalue problems, three-term recursions, interpolation and approximation, large systems and numerical integrations.

Автор: Press William H.
Название: Numerical Recipes in FORTRAN 90: Volume 2, Volume 2 of FORTRAN Numerical Recipes: The Art of Parallel Scientific Computing
ISBN: 0521574390 ISBN-13(EAN): 9780521574396
Издательство: Cambridge Academ
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Цена: 69690.00 T
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Описание: Numerical Recipes in Fortran 90 starts with a detailed introduction to the Fortran 90 language and then present the basic concepts of parallel programming. All 350+ routines from the second edition of Numerical Recipes are presented in Fortran 90, many reworked to be `parallel-ready` and to use Fortran 90`s advanced features.

Автор: Brenner
Название: Topics in Numerical Partial Differential Equations and Scientific Computing
ISBN: 1493963988 ISBN-13(EAN): 9781493963980
Издательство: Springer
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Цена: 111790.00 T
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Описание: Numerical partial differential equations (PDEs) are an important part of numerical simulation, the third component of the modern methodology for science and engineering, besides the traditional theory and experiment. This volume contains papers that originated with the collaborative research of the teams that participated in the IMA Workshop for Women in Applied Mathematics: Numerical Partial Differential Equations and Scientific Computing in August 2014.

Автор: Vui Ha Huy Et Al
Название: Genericity In Polynomial Optimization
ISBN: 1786342219 ISBN-13(EAN): 9781786342218
Издательство: World Scientific Publishing
Цена: 77090.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

In full generality, minimizing a polynomial function over a closed semi-algebraic set requires complex mathematical equations. This book explains recent developments from singularity theory and semi-algebraic geometry for studying polynomial optimization problems. Classes of generic problems are defined in a simple and elegant manner by using only the two basic (and relatively simple) notions of Newton polyhedron and non-degeneracy conditions associated with a given polynomial optimization problem. These conditions are well known in singularity theory, however, they are rarely considered within the optimization community.

Explanations focus on critical points and tangencies of polynomial optimization, HOlderian error bounds for polynomial systems, Frank-Wolfe-type theorem for polynomial programs and well-posedness in polynomial optimization. It then goes on to look at optimization for the different types of polynomials. Through this text graduate students, PhD students and researchers of mathematics will be provided with the knowledge necessary to use semi-algebraic geometry in optimization.

Автор: Michael T. Heath
Название: Scientific Computing: An Introductory Survey
ISBN: 1611975573 ISBN-13(EAN): 9781611975574
Издательство: Mare Nostrum (Eurospan)
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Цена: 83600.00 T
Наличие на складе: Невозможна поставка.
Описание: This book differs from traditional numerical analysis texts in that it focuses on the motivation and ideas behind the algorithms presented rather than on detailed analyses of them. It presents a broad overview of methods and software for solving mathematical problems arising in computational modeling and data analysis, including proper problem formulation, selection of effective solution algorithms, and interpretation of results.In the 20 years since its original publication, the modern, fundamental perspective of this book has aged well, and it continues to be used in the classroom. This Classics edition has been updated to include pointers to Python software and the Chebfun package, expansions on barycentric formulation for Lagrange polynomial interpretation and stochastic methods, and the availability of about 100 interactive educational modules that dynamically illustrate the concepts and algorithms in the book.Scientific Computing: An Introductory Survey, Second Edition is intended as both a textbook and a reference for computationally oriented disciplines that need to solve mathematical problems.

Автор: David L. Chopp
Название: Introduction to High Performance Scientific Computing
ISBN: 1611975638 ISBN-13(EAN): 9781611975635
Издательство: Mare Nostrum (Eurospan)
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Цена: 76910.00 T
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Описание: Based on a course developed by the author, Introduction to High Performance Scientific Computing introduces methods for adding parallelism to numerical methods for solving differential equations. It contains exercises and programming projects that facilitate learning as well as examples and discussions based on the C programming language, with additional comments for those already familiar with C . The text provides an overview of concepts and algorithmic techniques for modern scientific computing and is divided into six self-contained parts that can be assembled in any order to create an introductory course using available computer hardware.Part I introduces the C programming language for those not already familiar with programming in a compiled language. Part II describes parallelism on shared memory architectures using OpenMP. Part III details parallelism on computer clusters using MPI for coordinating a computation. Part IV demonstrates the use of graphical programming units (GPUs) to solve problems using the CUDA language for NVIDIA graphics cards. Part V addresses programming on GPUs for non-NVIDIA graphics cards using the OpenCL framework. Finally, Part VI contains a brief discussion of numerical methods and applications, giving the reader an opportunity to test the methods on typical computing problems. Introduction to High Performance Scientific Computing is intended for advanced undergraduate or beginning graduate students who have limited exposure to programming or parallel programming concepts. Extensive knowledge of numerical methods is not assumed. The material can be adapted to the available computational hardware, from OpenMP on simple laptops or desktops to MPI on computer clusters or CUDA and OpenCL for computers containing NVIDIA or other graphics cards. Experienced programmers unfamiliar with parallel programming will benefit from comparing the various methods to determine the type of parallel programming best suited for their application. The book can be used for courses on parallel scientific computing, high performance computing, and numerical methods for parallel computing.

Автор: Bashier, Eihab B. M.
Название: Practical Numerical and Scientific Computing with MATLAB® and Python
ISBN: 0367076691 ISBN-13(EAN): 9780367076696
Издательство: Taylor&Francis
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Цена: 88800.00 T
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Описание: The book introduces numerical analysis, with a focus on the implementation of methods and algorithms to solve a variety of mathematical problems in use within a variety of applications. It applies programming in MATLAB and Python to a variety of numerical analysis tasks.

Автор: Steeb Willi-Hans
Название: Problems and Solutions in Quantum Computing and Quantum Info
ISBN: 9814366323 ISBN-13(EAN): 9789814366328
Издательство: World Scientific Publishing
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Цена: 83430.00 T
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Описание: Covers such concepts and topics such as quantum gates and quantum circuits, product Hilbert spaces, entanglement and entanglement measures, deportation, Bell states, Bell inequality, Schmidt decomposition, quantum Fourier transform, magic gate, von Neumann entropy, quantum cryptography, quantum error corrections, coherent states, and more.

Автор: Holmes
Название: Introduction to Scientific Computing and Data Analysis
ISBN: 331930254X ISBN-13(EAN): 9783319302546
Издательство: Springer
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Цена: 74530.00 T
Наличие на складе: Невозможна поставка.
Описание: This textbook provides and introduction to numerical computing and its applications in science and engineering. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used.

Автор: Vladimir D. Liseikin
Название: A Computational Differential Geometry Approach to Grid Generation
ISBN: 3642070620 ISBN-13(EAN): 9783642070624
Издательство: Springer
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Цена: 113180.00 T
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Описание: The process of breaking up a physical domain into smaller sub-domains, known as meshing, facilitates the numerical solution of partial differential equations used to simulate physical systems.