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Scientific Computing - Vol. I, John A. Trangenstein


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Автор: John A. Trangenstein
Название:  Scientific Computing - Vol. I
ISBN: 9783319691046
Издательство: Springer
Классификация:


ISBN-10: 331969104X
Обложка/Формат: Hardcover
Страницы: 626
Вес: 1.31 кг.
Дата издания: 24.05.2018
Серия: Texts in Computational Science and Engineering
Язык: English
Издание: 1st ed. 2017
Иллюстрации: 19 illustrations, color; 12 illustrations, black and white; xxvi, 614 p. 31 illus., 19 illus. in color.
Размер: 242 x 170 x 41
Читательская аудитория: Postgraduate, research & scholarly
Основная тема: Mathematics
Подзаголовок: Vol. i - linear and nonlinear equations
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

This is the first of three volumes providing a comprehensive presentation of the fundamentals of scientific computing. This volume discusses basic principles of computation, and fundamental numerical algorithms that will serve as basic tools for the subsequent two volumes. This book and its companions show how to determine the quality of computational results, and how to measure the relative efficiency of competing methods. Readers learn how to determine the maximum attainable accuracy of algorithms, and how to select the best method for computing problems. This book also discusses programming in several languages, including C++, Fortran and MATLAB. There are 80 examples, 324 exercises, 77 algorithms, 35 interactive JavaScript programs, 391 references to software programs and 4 case studies.

Topics are introduced with goals, literature references and links to public software. There are descriptions of the current algorithms in LAPACK, GSLIB and MATLAB.

This book could be used for an introductory course in numerical methods, for either upper level undergraduates or first year graduate students.

Parts of the text could be used for specialized courses, such as principles of computer languages or numerical linear algebra.




Scientific Computing Vol. II

Автор: John A. Trangenstein
Название: Scientific Computing Vol. II
ISBN: 3319691066 ISBN-13(EAN): 9783319691060
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This is the second of three volumes providing a comprehensive presentation of the fundamentals of scientific computing. This volume discusses more advanced topics than volume one, and is largely not a prerequisite for volume three.

Scientific Computing  Vol. III

Автор: John A. Trangenstein
Название: Scientific Computing Vol. III
ISBN: 3319691090 ISBN-13(EAN): 9783319691091
Издательство: Springer
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Цена: 11878.00 р.
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Описание: There are descriptions of the current algorithms in GSLIB and MATLAB. This book could be used for a second course in numerical methods, for either upper level undergraduates or first year graduate students.

Topics in Numerical Partial Differential Equations and Scientific Computing

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: 16769.00 р.
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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.

Scientific Computing, Validated Numerics, Interval Methods

Автор: Walter Kr?mer; J?rgen Wolff von Gudenberg
Название: Scientific Computing, Validated Numerics, Interval Methods
ISBN: 144193376X ISBN-13(EAN): 9781441933768
Издательство: Springer
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Цена: 23058.00 р.
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Scientific Computing with Ordinary Differential Equations

Автор: Peter Deuflhard; W.C. Rheinboldt; Folkmar Borneman
Название: Scientific Computing with Ordinary Differential Equations
ISBN: 1441930116 ISBN-13(EAN): 9781441930118
Издательство: Springer
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Цена: 9362.00 р.
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Описание: 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

Challenges in Scientific Computing - CISC 2002

Автор: Eberhard Baensch
Название: Challenges in Scientific Computing - CISC 2002
ISBN: 3642624065 ISBN-13(EAN): 9783642624063
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This proceedings comprises 13 papers form the conference, ranging from numerical methods for flow problems, multigrid methods, semiconductor and microwave simulation, solution methods, finite element analysis to software aspects.

Scientific Computing in Electrical Engineering

Автор: G. Ciuprina; D. Ioan
Название: Scientific Computing in Electrical Engineering
ISBN: 3662518414 ISBN-13(EAN): 9783662518410
Издательство: Springer
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Цена: 20962.00 р.
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Описание: The series of SCEE conferences aims at addressing mathematical problems which have a relevance to industry, with an emphasis on modeling and numerical simulation of electronic circuits, electromagnetic fields but also coupled problems and general mathematical and computational methods.

Scientific Computing in Electrical Engineering SCEE 2008

Автор: Luis R.J. Costa; Janne Roos
Название: Scientific Computing in Electrical Engineering SCEE 2008
ISBN: 3662519771 ISBN-13(EAN): 9783662519776
Издательство: Springer
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Цена: 28732.00 р.
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Описание: Computational Electromagnetics.- to Part I.- Challenges and Approaches in EMC Modeling of Wireless Consumer Devices.- A New Adaptive Approach to Modeling Measured Multi-Port Scattering Parameters.- Parametric Models of Transmission Lines Based on First Order Sensitivities.- Domain Partitioning Based Parametric Models for Passive On-Chip Components.- A Novel Graphical Based Tool for Extraction of Magnetic Reluctances Between On-Chip Current Loops.- A Robust Technique for Modelling Nonlinear Lumped Elements Spanning Multiple Cells in FDTD.- Computation of Eigenmodes in Periodic Structures with Dispersive Materials.- Region-Oriented BEM Formulation for Numerical Computations of Electric Fields.- Surface Integrated Field Equations Method to Solve 3D Electromagnetic Problems.- Reduced Basis Method for Electromagnetic Field Computations.- Using Nudg++ to Solve Poisson's Equation on Unstructured Grids.- Magnetic Force Calculations Applied to Magnetic Force Microscopy.- Relativistic High Order Particle Treatment for Electromagnetic Particle-In-Cell Simulations.- A Statistical Characterization of Resonant Electromagnetic Interactions with Thin Wires: Variance and Kurtosis Analysis.- Circuit Simulation.- to Part II.- Wavelets in Circuit Simulation.- On Local Handling of Inner Equations in Compact Models.- Hybrid Analysis of Nonlinear Time-Varying Circuits Providing DAEs with Index at Most One.- Transient Analysis of Nonlinear Circuits Based on Waves.- Simultaneous Step-Size and Path Control for Efficient Transient Noise Analysis.- Nonlinear Distortion in Differential Circuits with Single-Ended and Balanced Drive.- Evaluation of Oscillator Phase and Frequency Transfer Functions.- Polynomial Chaos for the Computation of Failure Probabilities in Periodic Problems.- Quasiperiodic Steady-State Analysis of Electronic Circuits by a Spline Basis.- Accurate Simulation of the Devil's Staircase of an Injection-Locked Frequency Divider.- ANN/DNN-Based Behavioral Modeling of RF/Microwave Components and Circuits.- Surrogate Modeling of Low Noise Amplifiers Based on Transistor Level Simulations.- Computational Statistics Approach to Capacitance Sensitivity Analysis and Gate Delay Time Minimization of TFT-LCDs.- Lookup-Table Based Settling Error Modeling in SIMULINK.- Speed-Up Techniques for Time-Domain System Simulations.- Coupled Problems.- to Part III.- Heating of Semiconductor Devices in Electric Circuits.- Analysis of a PDE Thermal Element Model for Electrothermal Circuit Simulation.- Automatic Thermal Network Extraction and Multiscale Electro-Thermal Simulation.- Simulations of an Electron-Phonon Hydrodynamical Model Based on the Maximum Entropy Principle.- Consistent Initialization for Coupled Circuit-Device Simulation.- Hyperbolic PDAEs for Semiconductor Devices Coupled with Circuits.- Large-Scale Atomistic Circuit-Device Coupled Simulation of Discrete-Dopant-Induced Characteristic Fluctuation in Nano-CMOS Digital Circuits.- Evaluation of Electromagnetic Coupling Between Microelectronic Device Structures Using Computational Electrodynamics.- Evaluation of Domain Decomposition Approach for Compact Simulation of On-Chip Coupled Problems.- DAE-Index and Convergence Analysis of Lumped Electric Circuits Refined by 3-D Magnetoquasistatic Conductor Models.- Mathematical and Computational Methods.- to Part IV.- Numerical Time Integration in Quasistatic Computational Electromagnetics.- A Novel Staggered Finite Volume Time Domain Method.- EM Scattering Calculations Using Potentials.- New Trends in the Preconditioning of Integral Equations of Electromagnetism.- Simulation of Large Interconnect Structures Using ILU-Type Preconditioner.- High-Order Discontinuous Galerkin Methods for Computational Electromagnetics and Uncertainty Quantification.- Efficient Simulation of Large-scale Dynamical Systems Using Tensor Decompositions.- Robust FETI Solvers for Multiscale Elliptic PDEs.- Nonlinear Models for Silicon Semiconductors.- Multiobjective O

Visualization in Scientific Computing

Автор: Michel Grave; Yvon Le Lous; W.Terry Hewitt
Название: Visualization in Scientific Computing
ISBN: 3642779042 ISBN-13(EAN): 9783642779046
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Visualization in scientific computing is getting more and more attention from many people. Especially in relation with the fast increase of com- puting power, graphic tools are required in many cases for interpreting and presenting the results of various simulations, or for analyzing physical phenomena. The Eurographics Working Group on Visualization in Scientific Com- puting has therefore organized a first workshop at Electricite de France (Clamart) in cooperation with ONERA (Chatillon). A wide range of pa- pers were selected in order to cover most of the topics of interest for the members of the group, for this first edition, and 26 of them were presented in two days. Subsequently 18 papers were selected for this volume. 1'he presentations were organized in eight small sessions, in addition to discussions in small subgroups. The first two sessions were dedicated to the specific needs for visualization in computational sciences: the need for graphics support in large computing centres and high performance net- works, needs of research and education in universities and academic cen- tres, and the need for effective and efficient ways of integrating numerical computations or experimental data and graphics. Three of those papers are in Part I of this book. The third session discussed the importance and difficulties of using stan- dards in visualization software, and was related to the fourth session where some reference models and distributed graphics systems were discussed. Part II has five papers from these sessions.


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