Applied Scientific Computing

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Publisher : Springer
ISBN 13 : 3319895753
Total Pages : 272 pages
Book Rating : 4.3/5 (198 download)

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Book Synopsis Applied Scientific Computing by : Peter R. Turner

Download or read book Applied Scientific Computing written by Peter R. Turner and published by Springer. This book was released on 2018-07-18 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This easy-to-understand textbook presents a modern approach to learning numerical methods (or scientific computing), with a unique focus on the modeling and applications of the mathematical content. Emphasis is placed on the need for, and methods of, scientific computing for a range of different types of problems, supplying the evidence and justification to motivate the reader. Practical guidance on coding the methods is also provided, through simple-to-follow examples using Python. Topics and features: provides an accessible and applications-oriented approach, supported by working Python code for many of the methods; encourages both problem- and project-based learning through extensive examples, exercises, and projects drawn from practical applications; introduces the main concepts in modeling, python programming, number representation, and errors; explains the essential details of numerical calculus, linear, and nonlinear equations, including the multivariable Newton method; discusses interpolation and the numerical solution of differential equations, covering polynomial interpolation, splines, and the Euler, Runge–Kutta, and shooting methods; presents largely self-contained chapters, arranged in a logical order suitable for an introductory course on scientific computing. Undergraduate students embarking on a first course on numerical methods or scientific computing will find this textbook to be an invaluable guide to the field, and to the application of these methods across such varied disciplines as computer science, engineering, mathematics, economics, the physical sciences, and social science.

Applied Mathematics and Scientific Computing

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Publisher : Springer
ISBN 13 : 3030011232
Total Pages : 632 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Applied Mathematics and Scientific Computing by : B. Rushi Kumar

Download or read book Applied Mathematics and Scientific Computing written by B. Rushi Kumar and published by Springer. This book was released on 2019-02-01 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the first of two containing selected papers from the International Conference on Advances in Mathematical Sciences (ICAMS), held at the Vellore Institute of Technology in December 2017. This meeting brought together researchers from around the world to share their work, with the aim of promoting collaboration as a means of solving various problems in modern science and engineering. The authors of each chapter present a research problem, techniques suitable for solving it, and a discussion of the results obtained. These volumes will be of interest to both theoretical- and application-oriented individuals in academia and industry. Papers in Volume I are dedicated to active and open areas of research in algebra, analysis, operations research, and statistics, and those of Volume II consider differential equations, fluid mechanics, and graph theory.

Scientific Computing

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Publisher : SIAM
ISBN 13 : 1611975573
Total Pages : 567 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Scientific Computing by : Michael T. Heath

Download or read book Scientific Computing written by Michael T. Heath and published by SIAM. This book was released on 2018-11-14 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Applied Mathematics and Scientific Computing

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Publisher : Springer Science & Business Media
ISBN 13 : 147574532X
Total Pages : 346 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Applied Mathematics and Scientific Computing by : Zlatko Drmac

Download or read book Applied Mathematics and Scientific Computing written by Zlatko Drmac and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the second conference on Applied Mathematics and Scientific Computing, held June 4-9, 2001 in Dubrovnik, Croatia. The main idea of the conference was to bring together applied mathematicians both from outside academia, as well as experts from other areas (engineering, applied sciences) whose work involves advanced mathematical techniques. During the meeting there were one complete mini-course, invited presentations, contributed talks and software presentations. A mini-course Schwarz Methods for Partial Differential Equations was given by Prof Marcus Sarkis (Worcester Polytechnic Institute, USA), and invited presentations were given by active researchers from the fields of numerical linear algebra, computational fluid dynamics , matrix theory and mathematical physics (fluid mechanics and elasticity). This volume contains the mini-course and review papers by invited speakers (Part I), as well as selected contributed presentations from the field of analysis, numerical mathematics, and engineering applications.

Concurrent Scientific Computing

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Publisher : Springer Science & Business Media
ISBN 13 : 1461208491
Total Pages : 342 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Concurrent Scientific Computing by : Eric F. Van de Velde

Download or read book Concurrent Scientific Computing written by Eric F. Van de Velde and published by Springer Science & Business Media. This book was released on 2013-12-17 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics is playing an ever more important role in the physical and biological sciences, provoking a blurring of boundaries between scientific dis ciplines and a resurgence of interest in the modern as well as the classical techniques of applied mathematics. This renewal of interest, both in research and teaching, has led to the establishment of the series: Texts in Applied Mathe matics (TAM). The development of new courses is a natural consequence of a high level of excitement on the research frontier as newer techniques, such as numerical and symbolic computer systems, dynamical systems, and chaos, mix with and reinforce the traditional methods of applied mathematics. Thus, the purpose of this textbook series is to meet the current and future needs of these advances and encourage the teaching of new courses. TAM will publish textbooks suitable for use in advanced undergraduate and beginning graduate courses, and will complement the Applied Mathematical Sciences (AMS) series, which will focus on advanced textbooks and research level monographs. Preface A successful concurrent numerical simulation requires physics and math ematics to develop and analyze the model, numerical analysis to develop solution methods, and computer science to develop a concurrent implemen tation. No single course can or should cover all these disciplines. Instead, this course on concurrent scientific computing focuses on a topic that is not covered or is insufficiently covered by other disciplines: the algorith mic structure of numerical methods.

Applied Parallel Computing

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Publisher : Springer
ISBN 13 : 354033498X
Total Pages : 1174 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Applied Parallel Computing by : Jack Dongarra

Download or read book Applied Parallel Computing written by Jack Dongarra and published by Springer. This book was released on 2006-02-27 with total page 1174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Applied Parallel Computing, PARA 2004, held in June 2004. The 118 revised full papers presented together with five invited lectures and 15 contributed talks were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections.

Numerical Analysis in Modern Scientific Computing

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Publisher : Springer Science & Business Media
ISBN 13 : 0387215840
Total Pages : 350 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Numerical Analysis in Modern Scientific Computing by : Peter Deuflhard

Download or read book Numerical Analysis in Modern Scientific Computing written by Peter Deuflhard and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. The presentation draws on geometrical intuition wherever appropriate and is supported by a large number of illustrations, exercises, and examples.

Scientific Computing with Ordinary Differential Equations

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Publisher : Springer Science & Business Media
ISBN 13 : 0387215824
Total Pages : 498 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Scientific Computing with Ordinary Differential Equations by : Peter Deuflhard

Download or read book Scientific Computing with Ordinary Differential Equations written by Peter Deuflhard and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Well-known authors; Includes topics and results that have previously not been covered in a book; Uses many interesting examples from science and engineering; Contains numerous homework exercises; Scientific computing is a hot and topical area

An Introduction to High-performance Scientific Computing

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Publisher : MIT Press
ISBN 13 : 9780262061810
Total Pages : 838 pages
Book Rating : 4.0/5 (618 download)

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Book Synopsis An Introduction to High-performance Scientific Computing by : Lloyd Dudley Fosdick

Download or read book An Introduction to High-performance Scientific Computing written by Lloyd Dudley Fosdick and published by MIT Press. This book was released on 1996 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed for undergraduates, An Introduction to High-Performance Scientific Computing assumes a basic knowledge of numerical computation and proficiency in Fortran or C programming and can be used in any science, computer science, applied mathematics, or engineering department or by practicing scientists and engineers, especially those associated with one of the national laboratories or supercomputer centers. This text evolved from a new curriculum in scientific computing that was developed to teach undergraduate science and engineering majors how to use high-performance computing systems (supercomputers) in scientific and engineering applications. Designed for undergraduates, An Introduction to High-Performance Scientific Computing assumes a basic knowledge of numerical computation and proficiency in Fortran or C programming and can be used in any science, computer science, applied mathematics, or engineering department or by practicing scientists and engineers, especially those associated with one of the national laboratories or supercomputer centers. The authors begin with a survey of scientific computing and then provide a review of background (numerical analysis, IEEE arithmetic, Unix, Fortran) and tools (elements of MATLAB, IDL, AVS). Next, full coverage is given to scientific visualization and to the architectures (scientific workstations and vector and parallel supercomputers) and performance evaluation needed to solve large-scale problems. The concluding section on applications includes three problems (molecular dynamics, advection, and computerized tomography) that illustrate the challenge of solving problems on a variety of computer architectures as well as the suitability of a particular architecture to solving a particular problem. Finally, since this can only be a hands-on course with extensive programming and experimentation with a variety of architectures and programming paradigms, the authors have provided a laboratory manual and supporting software via anonymous ftp. Scientific and Engineering Computation series

Scientific Computing with Case Studies

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Publisher : SIAM
ISBN 13 : 0898716667
Total Pages : 376 pages
Book Rating : 4.8/5 (987 download)

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Book Synopsis Scientific Computing with Case Studies by : Dianne P. O'Leary

Download or read book Scientific Computing with Case Studies written by Dianne P. O'Leary and published by SIAM. This book was released on 2009-03-19 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Numerical Methods in Scientific Computing:

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Publisher : SIAM
ISBN 13 : 0898716446
Total Pages : 741 pages
Book Rating : 4.8/5 (987 download)

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Book Synopsis Numerical Methods in Scientific Computing: by : Germund Dahlquist

Download or read book Numerical Methods in Scientific Computing: written by Germund Dahlquist and published by SIAM. This book was released on 2008-09-04 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work addresses the increasingly important role of numerical methods in science and engineering. It combines traditional and well-developed topics with other material such as interval arithmetic, elementary functions, operator series, convergence acceleration, and continued fractions.

Introduction to Scientific Computing and Data Analysis

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Publisher : Springer Nature
ISBN 13 : 3031224302
Total Pages : 563 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Introduction to Scientific Computing and Data Analysis by : Mark H. Holmes

Download or read book Introduction to Scientific Computing and Data Analysis written by Mark H. Holmes and published by Springer Nature. This book was released on 2023-07-11 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides an introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression-based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. 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. The codes used for most of the computational examples in the text are available on GitHub. This new edition includes material necessary for an upper division course in computational linear algebra.

Parallel Scientific Computing and Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 0387097074
Total Pages : 287 pages
Book Rating : 4.3/5 (87 download)

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Book Synopsis Parallel Scientific Computing and Optimization by : Raimondas Ciegis

Download or read book Parallel Scientific Computing and Optimization written by Raimondas Ciegis and published by Springer Science & Business Media. This book was released on 2008-10-08 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including survey chapters and surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix computations, parallel optimization, management of parallel programming models and data, with the largest focus on parallel scientific computing in industrial applications. This volume is intended for scientists and graduate students specializing in computer science and applied mathematics who are engaged in parallel scientific computing.

A Gentle Introduction to Scientific Computing

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Publisher : CRC Press
ISBN 13 : 0429557930
Total Pages : 241 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis A Gentle Introduction to Scientific Computing by : Dan Stanescu

Download or read book A Gentle Introduction to Scientific Computing written by Dan Stanescu and published by CRC Press. This book was released on 2022-05-01 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific Computation has established itself as a stand-alone area of knowledge at the borderline between computer science and applied mathematics. Nonetheless, its interdisciplinary character cannot be denied: its methodologies are increasingly used in a wide variety of branches of science and engineering. A Gentle Introduction to Scientific Computing intends to serve a very broad audience of college students across a variety of disciplines. It aims to expose its readers to some of the basic tools and techniques used in computational science, with a view to helping them understand what happens "behind the scenes" when simple tools such as solving equations, plotting and interpolation are used. To make the book as practical as possible, the authors explore their subject both from a theoretical, mathematical perspective and from an implementation-driven, programming perspective. Features Middle-ground approach between theory and implementation. Suitable reading for a broad range of students in STEM disciplines. Could be used as the primary text for a first course in scientific computing. Introduces mathematics majors, without any prior computer science exposure, to numerical methods. All mathematical knowledge needed beyond Calculus (together with the most widely used Calculus notation and concepts) is introduced in the text to make it self-contained.

Mathematical Principles for Scientific Computing and Visualization

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Publisher : CRC Press
ISBN 13 : 156881321X
Total Pages : 296 pages
Book Rating : 4.5/5 (688 download)

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Book Synopsis Mathematical Principles for Scientific Computing and Visualization by : Gerald Farin

Download or read book Mathematical Principles for Scientific Computing and Visualization written by Gerald Farin and published by CRC Press. This book was released on 2008-10-21 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This non-traditional introduction to the mathematics of scientific computation describes the principles behind the major methods, from statistics, applied mathematics, scientific visualization, and elsewhere, in a way that is accessible to a large part of the scientific community. Introductory material includes computational basics, a review of coordinate systems, an introduction to facets (planes and triangle meshes) and an introduction to computer graphics. The scientific computing part of the book covers topics in numerical linear algebra (basics, solving linear system, eigen-problems, SVD, and PCA) and numerical calculus (basics, data fitting, dynamic processes, root finding, and multivariate functions). The visualization component of the book is separated into three parts: empirical data, scalar values over 2D data, and volumes.

Parallel Scientific Computing in C++ and MPI

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Publisher : Cambridge University Press
ISBN 13 : 110749477X
Total Pages : 640 pages
Book Rating : 4.1/5 (74 download)

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Book Synopsis Parallel Scientific Computing in C++ and MPI by : George Em Karniadakis

Download or read book Parallel Scientific Computing in C++ and MPI written by George Em Karniadakis and published by Cambridge University Press. This book was released on 2003-06-16 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical algorithms, modern programming techniques, and parallel computing are often taught serially across different courses and different textbooks. The need to integrate concepts and tools usually comes only in employment or in research - after the courses are concluded - forcing the student to synthesise what is perceived to be three independent subfields into one. This book provides a seamless approach to stimulate the student simultaneously through the eyes of multiple disciplines, leading to enhanced understanding of scientific computing as a whole. The book includes both basic as well as advanced topics and places equal emphasis on the discretization of partial differential equations and on solvers. Some of the advanced topics include wavelets, high-order methods, non-symmetric systems, and parallelization of sparse systems. The material covered is suited to students from engineering, computer science, physics and mathematics.

Verification and Validation in Scientific Computing

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Publisher : Cambridge University Press
ISBN 13 : 1139491768
Total Pages : 782 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Verification and Validation in Scientific Computing by : William L. Oberkampf

Download or read book Verification and Validation in Scientific Computing written by William L. Oberkampf and published by Cambridge University Press. This book was released on 2010-10-14 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. The methods described can be applied to a wide range of technical fields, from the physical sciences, engineering and technology and industry, through to environmental regulations and safety, product and plant safety, financial investing, and governmental regulations. This book will be genuinely welcomed by researchers, practitioners, and decision makers in a broad range of fields, who seek to improve the credibility and reliability of simulation results. It will also be appropriate either for university courses or for independent study.