Acta Numerica 2003: Volume 12

Acta Numerica 2003: Volume 12 PDF Author: Arieh Iserles
Publisher: Cambridge University Press
ISBN: 9780521825238
Category : Juvenile Nonfiction
Languages : en
Pages : 536

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Book Description
An annual volume presenting substantive survey articles in numerical mathematics and scientific computing.

Acta Numerica 2003: Volume 12

Acta Numerica 2003: Volume 12 PDF Author: Arieh Iserles
Publisher: Cambridge University Press
ISBN: 9780521825238
Category : Juvenile Nonfiction
Languages : en
Pages : 536

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Book Description
An annual volume presenting substantive survey articles in numerical mathematics and scientific computing.

Acta Numerica 2005: Volume 14

Acta Numerica 2005: Volume 14 PDF Author: Arieh Iserles
Publisher: Cambridge University Press
ISBN: 9780521858076
Category : Mathematics
Languages : en
Pages : 584

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Book Description
A high-impact factor, prestigious annual publication containing invited surveys by subject leaders: essential reading for all practitioners and researchers.

Acta Numerica 2010: Volume 19

Acta Numerica 2010: Volume 19 PDF Author: Arieh Iserles
Publisher: Cambridge University Press
ISBN: 9780521192842
Category : Mathematics
Languages : en
Pages : 614

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Book Description
A high-impact, prestigious, annual publication containing invited surveys by subject leaders: essential reading for all practitioners and researchers.

Acta Numerica 2006: Volume 15

Acta Numerica 2006: Volume 15 PDF Author: Arieh Iserles
Publisher: Cambridge University Press
ISBN: 9780521868150
Category : Mathematics
Languages : en
Pages : 658

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Book Description
A high-impact factor, prestigious annual publication containing invited surveys by subject leaders: essential reading for all practitioners and researchers.

Natural Element Method for the Simulation of Structures and Processes

Natural Element Method for the Simulation of Structures and Processes PDF Author: Francisco Chinesta
Publisher: John Wiley & Sons
ISBN: 1118616928
Category : Mathematics
Languages : en
Pages : 195

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Book Description
Computational mechanics is the discipline concerned with the use of computational methods to study phenomena governed by the principles of mechanics. Before the emergence of computational science (also called scientific computing) as a "third way" besides theoretical and experimental sciences, computational mechanics was widely considered to be a sub-discipline of applied mechanics. It is now considered to be a sub-discipline within computational science. This book presents a recent state of the art on the foundations and applications of the meshless natural element method in computational mechanics, including structural mechanics and material forming processes involving solids and Newtonian and non-Newtonian fluids.

Acta Numerica 2008: Volume 17

Acta Numerica 2008: Volume 17 PDF Author: A. Iserles
Publisher: Cambridge University Press
ISBN: 9780521516426
Category : Mathematics
Languages : en
Pages : 424

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Book Description
A high-impact, prestigious annual publication containing invited surveys by subject leaders: essential reading for all practitioners and researchers.

Multiscale Modeling and Simulation in Science

Multiscale Modeling and Simulation in Science PDF Author: Björn Engquist
Publisher: Springer Science & Business Media
ISBN: 3540888578
Category : Computers
Languages : en
Pages : 332

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Book Description
Most problems in science involve many scales in time and space. An example is turbulent ?ow where the important large scale quantities of lift and drag of a wing depend on the behavior of the small vortices in the boundarylayer. Another example is chemical reactions with concentrations of the species varying over seconds and hours while the time scale of the oscillations of the chemical bonds is of the order of femtoseconds. A third example from structural mechanics is the stress and strain in a solid beam which is well described by macroscopic equations but at the tip of a crack modeling details on a microscale are needed. A common dif?culty with the simulation of these problems and many others in physics, chemistry and biology is that an attempt to represent all scales will lead to an enormous computational problem with unacceptably long computation times and large memory requirements. On the other hand, if the discretization at a coarse level ignoresthe?nescale informationthenthesolutionwillnotbephysicallymeaningful. The in?uence of the ?ne scales must be incorporated into the model. This volume is the result of a Summer School on Multiscale Modeling and S- ulation in Science held at Boso ¤n, Lidingo ¤ outside Stockholm, Sweden, in June 2007. Sixty PhD students from applied mathematics, the sciences and engineering parti- pated in the summer school.

Acta Numerica 2007: Volume 16

Acta Numerica 2007: Volume 16 PDF Author: Arieh Iserles
Publisher: Cambridge University Press
ISBN: 9780521877435
Category : Mathematics
Languages : en
Pages : 488

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Book Description
A high-impact factor, prestigious, annual publication containing invited surveys by subject leaders: essential reading for all practitioners and researchers.

Large-Scale Inverse Problems and Quantification of Uncertainty

Large-Scale Inverse Problems and Quantification of Uncertainty PDF Author: Lorenz Biegler
Publisher: John Wiley & Sons
ISBN: 1119957583
Category : Mathematics
Languages : en
Pages : 403

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Book Description
This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based approaches to solving inverse problems. The aim is to cross-fertilize the perspectives of researchers in the areas of data assimilation, statistics, large-scale optimization, applied and computational mathematics, high performance computing, and cutting-edge applications. The solution to large-scale inverse problems critically depends on methods to reduce computational cost. Recent research approaches tackle this challenge in a variety of different ways. Many of the computational frameworks highlighted in this book build upon state-of-the-art methods for simulation of the forward problem, such as, fast Partial Differential Equation (PDE) solvers, reduced-order models and emulators of the forward problem, stochastic spectral approximations, and ensemble-based approximations, as well as exploiting the machinery for large-scale deterministic optimization through adjoint and other sensitivity analysis methods. Key Features: Brings together the perspectives of researchers in areas of inverse problems and data assimilation. Assesses the current state-of-the-art and identify needs and opportunities for future research. Focuses on the computational methods used to analyze and simulate inverse problems. Written by leading experts of inverse problems and uncertainty quantification. Graduate students and researchers working in statistics, mathematics and engineering will benefit from this book.

High-Performance Computing in Finance

High-Performance Computing in Finance PDF Author: M. A. H. Dempster
Publisher: CRC Press
ISBN: 1482299674
Category : Computers
Languages : en
Pages : 637

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Book Description
High-Performance Computing (HPC) delivers higher computational performance to solve problems in science, engineering and finance. There are various HPC resources available for different needs, ranging from cloud computing– that can be used without much expertise and expense – to more tailored hardware, such as Field-Programmable Gate Arrays (FPGAs) or D-Wave’s quantum computer systems. High-Performance Computing in Finance is the first book that provides a state-of-the-art introduction to HPC for finance, capturing both academically and practically relevant problems.