Category: Electronic journals
Category: Electronic journals
Author: Society for Industrial and Applied Mathematics
Category: Mathematical statistics
Author: Society for Industrial and Applied Mathematics
Category: Mathematical analysis
Journal of Parallel and Distributed Computing 27 ( 1 ) , 15–25 . [ 148 ]
Hendrickson , B. A. and Womble , D. E. ( 1994 ) . The torus - wrap mapping for
dense matrix calculations on massively parallel computers . SIAM Journal on
Author: Rob H. Bisseling
Publisher: Oxford University Press, USA
View: 528Parallel Scientific Computation presents a methodology for designing parallel algorithms and writing parallel computer programs for modern computer architectures with multiple processors.
SIAM journal on scientific and statistical computing, 9(4):761–765, 1988. Roberto
Garrappa and Marina Popolizio. On the use of matrix functions for fractional
partial differential equations. Mathematics and Computers in Simulation, ...
Author: A.J. Tallón-Ballesteros
Publisher: IOS Press
View: 425The Fuzzy Systems and Data Mining (FSDM) conference is an annual event encompassing four main themes: fuzzy theory, algorithms and systems, which includes topics like stability, foundations and control; fuzzy application, which covers different kinds of processing as well as hardware and architectures for big data and time series and has wide applicability; the interdisciplinary field of fuzzy logic and data mining, encompassing applications in electrical, industrial, chemical and engineering fields as well as management and environmental issues; and data mining, outlining new approaches to big data, massive data, scalable, parallel and distributed algorithms. The annual conference provides a platform for knowledge exchange between international experts, researchers, academics and delegates from industry. This book includes the papers accepted and presented at the 5th International Conference on Fuzzy Systems and Data Mining (FSDM 2019), held in Kitakyushu, Japan on 18-21 October 2019. This year, FSDM received 442 submissions. All papers were carefully reviewed by program committee members, taking account of the quality, novelty, soundness, breadth and depth of the research topics falling within the scope of FSDM. The committee finally decided to accept 137 papers, which represents an acceptance rate of about 30%. The papers presented here are arranged in two sections: Fuzzy Sets and Data Mining, and Communications and Networks. Providing an overview of the most recent scientific and technological advances in the fields of fuzzy systems and data mining, the book will be of interest to all those working in these fields.
Author: Hans de Sterck
This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific ...
Author: Michael A. Heroux
Category: Parallel processing (Electronic computers)
View: 776Parallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them. Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering.
The book represents the state of the art in the development of reduced order methods. It contains contributions from internationally respected experts, guaranteeing a wide range of expertise and topics.
Author: Peter Benner
View: 881The special volume offers a global guide to new concepts and approaches concerning the following topics: reduced basis methods, proper orthogonal decomposition, proper generalized decomposition, approximation theory related to model reduction, learning theory and compressed sensing, stochastic and high-dimensional problems, system-theoretic methods, nonlinear model reduction, reduction of coupled problems/multiphysics, optimization and optimal control, state estimation and control, reduced order models and domain decomposition methods, Krylov-subspace and interpolatory methods, and applications to real industrial and complex problems. The book represents the state of the art in the development of reduced order methods. It contains contributions from internationally respected experts, guaranteeing a wide range of expertise and topics. Further, it reflects an important effor t, carried out over the last 12 years, to build a growing research community in this field. Though not a textbook, some of the chapters can be used as reference materials or lecture notes for classes and tutorials (doctoral schools, master classes).
[ 11 ] M. F. Gyure and M. A. Stalzer , " A prescription for the multilevel Helmholtz
FMM , ” IEEE Computational Science ... [ 18 ] S. Ohnuki and W. C. Chew , “
Truncation error analysis of multipole expansion , ” SIAM J. Scientific Computing ,
Author: Michael Larkin Hastriter
View: 957This research is centered in computational electromagnetics with a focus on solving large-scale problems accurately in a timely fashion using first principle physics. Error control of the translation operator in 3-D is shown. A parallel implementation of the multilevel fast multipole algorithm (MLFMA) was studied as far as parallel efficiency and scaling. The large-scale scattering program (LSSP), based on the ScaleME library, was used to solve ultra-large-scale problems including a 200(lambda) sphere with 20 million unknowns. As these large-scale problems were solved, techniques were developed to accurately estimate the memory requirements. Careful memory management is needed in order to solve these massive problems. The study of MLFMA in large-scale problems revealed significant errors that stemmed from inconsistencie s in constants used- by different parts of the algorithm. These were fixed to produce the most accurate data possible for large-scale surface scattering problems. Data was calculated on a missile-like target using both high frequency methods and MLFMA. This data was compared and analyzed to determine possible strategies to increase data acquisition speed and accuracy through multiple computation method hybridization.
[ 5 ] C. E. GROSCH , Adapting a Navier - Stokes Code to the ICL - DAP , SIAM J.
Scientific & Statistical Computing , Vol . 8 , No. 1 , 1987 , pp . s96 - s117 . [ 6 ]
MASPAR COMPUTER CO . , MP - 1 Family Data - Parallel Computers , PL006.
Author: J. J. Dongarra
View: 367This text gives the proceedings for the fifth conference on parallel processing for scientific computing.
SIAM Journal on Numerical Analysis , 19 ( 2 ) , 401 - 408 . Dennis Jr . , J . E . ...
SIAM Journal on Scientific Computing , 17 ( 1 ) , 16 – 32 . Gomes - Ruggiero , M
... SIAM Journal Scientific and Statistical Computing , 13 ( 2 ) , 459 - 483 . Gomes
Author: Sira Allende
Category: Operations research
14 A.K. Kassam and L. N. Trefethen, “Fourthorder timestepping for stiff PDEs,”
SIAM Journal of Scientific Computing 26, 12141233 (2005). 15 W. H. Press, S. A.
Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes, 2nd ed.
Author: J. Nathan Kutz
Publisher: OUP Oxford
View: 298The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science. The enormous data sets now routinely encountered in the sciences provide an incentive to develop mathematical techniques and computational algorithms that help synthesize, interpret and give meaning to the data in the context of its scientific setting. A specific aim of this book is to integrate standard scientific computing methods with data analysis. By doing so, it brings together, in a self-consistent fashion, the key ideas from: · statistics, · time-frequency analysis, and · low-dimensional reductions The blend of these ideas provides meaningful insight into the data sets one is faced with in every scientific subject today, including those generated from complex dynamical systems. This is a particularly exciting field and much of the final part of the book is driven by intuitive examples from it, showing how the three areas can be used in combination to give critical insight into the fundamental workings of various problems. Data-Driven Modeling and Scientific Computation is a survey of practical numerical solution techniques for ordinary and partial differential equations as well as algorithms for data manipulation and analysis. Emphasis is on the implementation of numerical schemes to practical problems in the engineering, biological and physical sciences. An accessible introductory-to-advanced text, this book fully integrates MATLAB and its versatile and high-level programming functionality, while bringing together computational and data skills for both undergraduate and graduate students in scientific computing.
Aleksandr Aravkin, Anna Choromanska, Li Deng, Georg Heigold, Tony Jebara,
Dimitri Kanevsky, Stephen J. Wright. The main contribution of this chapter is to ...
SIAM J. Scientific Computing, 34(3), 2012. M. Hestenes and E. Stiefel. Methods of
Author: Aleksandr Aravkin
Publisher: MIT Press
View: 297Advances in training models with log-linear structures, with topics including variable selection, the geometry of neural nets, and applications. Log-linear models play a key role in modern big data and machine learning applications. From simple binary classification models through partition functions, conditional random fields, and neural nets, log-linear structure is closely related to performance in certain applications and influences fitting techniques used to train models. This volume covers recent advances in training models with log-linear structures, covering the underlying geometry, optimization techniques, and multiple applications. The first chapter shows readers the inner workings of machine learning, providing insights into the geometry of log-linear and neural net models. The other chapters range from introductory material to optimization techniques to involved use cases. The book, which grew out of a NIPS workshop, is suitable for graduate students doing research in machine learning, in particular deep learning, variable selection, and applications to speech recognition. The contributors come from academia and industry, allowing readers to view the field from both perspectives. Contributors Aleksandr Aravkin, Avishy Carmi, Guillermo A. Cecchi, Anna Choromanska, Li Deng, Xinwei Deng, Jean Honorio, Tony Jebara, Huijing Jiang, Dimitri Kanevsky, Brian Kingsbury, Fabrice Lambert, Aurélie C. Lozano, Daniel Moskovich, Yuriy S. Polyakov, Bhuvana Ramabhadran, Irina Rish, Dimitris Samaras, Tara N. Sainath, Hagen Soltau, Serge F. Timashev, Ewout van den Berg
SERIES B : NUMERIC ANALYSIS QA1.5652 V.3 ( 1966 )SIAM JOURNAL ON
SCIENTIFIC AND STATISTICAL COMPUTING CONTINUED BY : SIAM
JOURNAL ON SCIENTIFIC COMPUTING QA297.552 V.1 ( 1980 ) -V.13 ( 1992 )
Author: National Institute of Standards and Technology (U.S.)
SIAM Journal on Scientific Computing 27(2), 687–713 (2005) 4. Biros, G.,
Ghattas, O.: Parallel Lagrange-Newton-Krylov-Schur methods for
PDEconstrained optimization. Part II: The Lagrange-Newton solver, and its
application to optimal ...
Author: Dominique Thévenin
Publisher: Springer Science & Business Media
Category: Technology & Engineering
View: 516The numerical optimization of practical applications has been an issue of major importance for the last 10 years. It allows us to explore reliable non-trivial configurations, differing widely from all known solutions. The purpose of this book is to introduce the state-of-the-art concerning this issue and many complementary applications are presented.
Proceedings of the 1997 International Symposium on Symbolic and Algebraic
Computation : July 21-23, 1997, Maui, Hawaii, USA Wolfgang W. Küchlin. further
improve the ... To appear in SIAM J. Scientific Computing 18 , 4 ( July 97 ) .
Author: Wolfgang W. Küchlin
Publisher: Association for Computing Machinery (ACM)
View: 780"This volume contains the fifty-nine research papers presented at the 1997 International Symposium on Symbolic and Algebraic Computation. The Symposium was held in Wailea on the island of Maui, Hawaii, USA, July 21-23, 1997 under the sponsorship of the ACM Special Interest Group in Symbolic and Algebraic Manipulation (SIGSAM) and the Special Interest Group on Numerical Mathematics (SIGNUM). The fifty-nine papers contained in this volume together with the two invited talks at the Symposium represent original research in all areas of symbolic and algebraic computation."--BOOK JACKET. Title Summary field provided by Blackwell North America, Inc. All Rights Reserved.
SIAM Journal on Scientific Computing, 22, pp. 853–890. 2. M. Griebel and M.A.
Schweitzer (2002), A particle-partition of unity method—Part II: efficient cover
construction and reliable integration. SIAM Journal on Scientific Computing, 23,
Author: G.R. Liu
Publisher: Springer Science & Business Media
View: 193The First International Conference on Computational Methods (ICCM04), organized by the department of Mechanical Engineering, National University of Singapore, was held in Singapore, December 15-17, 2004, with great success. This conference proceedings contains some 290 papers from more than 30 countries/regions. The papers cover a broad range of topics such as meshfree particle methods, Generalized FE and Extended FE methods, inverse analysis and optimization methods. Computational methods for geomechanics, machine learning, vibration, shock, impact, health monitoring, material modeling, fracture and damage mechanics, multi-physics and multi-scales simulation, sports and environments are also included. All the papers are pre-reviewed before they are accepted for publication in this proceedings. The proceedings will provide an informative, timely and invaluable resource for engineers and scientists working in the important areas of computational methods.
Scientific. Computing. Ben-Gurion University of the Negev, Beer Sheva: On
Stability, Monotonicity, And Construction Of ... Borisov and colleagues published
their study in Siam Journal on Scientific Computing (On Stability, Monotonicity,
View: 225Issues in Applied Computing / 2012 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Materials Engineering. The editors have built Issues in Applied Computing: 2012 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Materials Engineering in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Applied Computing: 2012 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
This book fills a gap between theory-oriented investigations in PDE-constrained optimization and the practical demands made by numerical solutions of PDE optimization problems.
Author: Alfio Borzi
View: 133This book provides a bridge between continuous optimization and PDE modelling and focuses on the numerical solution of the corresponding problems. Intended for graduate students in PDE-constrained optimization, it is also suitable as an introduction for researchers in scientific computing or optimization.
5 CONCLUSIONS This article has presented a numerical method for the
computation of the soil erosion induced by ... variant of the Bi-CGStab algorithm
for nonsymmetric systems, SIAM 15(2): Journal on Scientific Computing 338–347
Author: Susumu Iai
Publisher: CRC Press
Category: Technology & Engineering
View: 487Geotechnics for Catastrophic Flooding Events presents the keynote lectures (book, 264 pages) and keynote lectures and general papers (CD-ROM, 608 pages) presented at the Fourth International ISSMGEConference on Geotechnical Engineering for Disaster Mitigation and Rehabilitation (4th GEDMAR, Kyoto, Japan, 16-18 September 2014). The contributions dis