Automatic Algorithm Selection For Complex Simulation Problems

Author : Roland Ewald
Publisher : Springer Science & Business Media
ISBN 13 : 3834881511
Total Pages : 387 pages
Book Rating : 4.19/5 ( download)

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Download or read book Automatic Algorithm Selection for Complex Simulation Problems written by Roland Ewald and published by Springer Science & Business Media. This book was released on 2011-11-20 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: To select the most suitable simulation algorithm for a given task is often difficult. This is due to intricate interactions between model features, implementation details, and runtime environment, which may strongly affect the overall performance. An automated selection of simulation algorithms supports users in setting up simulation experiments without demanding expert knowledge on simulation. Roland Ewald analyzes and discusses existing approaches to solve the algorithm selection problem in the context of simulation. He introduces a framework for automatic simulation algorithm selection and describes its integration into the open-source modelling and simulation framework James II. Its selection mechanisms are able to cope with three situations: no prior knowledge is available, the impact of problem features on simulator performance is unknown, and a relationship between problem features and algorithm performance can be established empirically. The author concludes with an experimental evaluation of the developed methods.

Author : Matúš Maciak
Publisher : Springer Nature
ISBN 13 : 3030488144
Total Pages : 159 pages
Book Rating : 4.47/5 ( download)

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Download or read book Analytical Methods in Statistics written by Matúš Maciak and published by Springer Nature. This book was released on 2020-07-19 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects peer-reviewed contributions on modern statistical methods and topics, stemming from the third workshop on Analytical Methods in Statistics, AMISTAT 2019, held in Liberec, Czech Republic, on September 16-19, 2019. Real-life problems demand statistical solutions, which in turn require new and profound mathematical methods. As such, the book is not only a collection of solved problems but also a source of new methods and their practical extensions. The authoritative contributions focus on analytical methods in statistics, asymptotics, estimation and Fisher information, robustness, stochastic models and inequalities, and other related fields; further, they address e.g. average autoregression quantiles, neural networks, weighted empirical minimum distance estimators, implied volatility surface estimation, the Grenander estimator, non-Gaussian component analysis, meta learning, and high-dimensional errors-in-variables models.

Author : Andelfinger, Philipp Josef
Publisher : KIT Scientific Publishing
ISBN 13 : 3731505118
Total Pages : 168 pages
Book Rating : 4.12/5 ( download)

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Download or read book Identifying and Harnessing Concurrency for Parallel and Distributed Network Simulation written by Andelfinger, Philipp Josef and published by KIT Scientific Publishing. This book was released on 2016-07-28 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : George Corliss
Publisher : Springer Science & Business Media
ISBN 13 : 1461300754
Total Pages : 431 pages
Book Rating : 4.55/5 ( download)

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Download or read book Automatic Differentiation of Algorithms written by George Corliss and published by Springer Science & Business Media. This book was released on 2013-11-21 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: A survey book focusing on the key relationships and synergies between automatic differentiation (AD) tools and other software tools, such as compilers and parallelizers, as well as their applications. The key objective is to survey the field and present the recent developments. In doing so the topics covered shed light on a variety of perspectives. They reflect the mathematical aspects, such as the differentiation of iterative processes, and the analysis of nonsmooth code. They cover the scientific programming aspects, such as the use of adjoints in optimization and the propagation of rounding errors. They also cover "implementation" problems.

Author : Denis Cavallucci
Publisher : Springer
ISBN 13 : 3642221823
Total Pages : 203 pages
Book Rating : 4.28/5 ( download)

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Download or read book Building Innovation Pipelines through Computer-Aided Innovation written by Denis Cavallucci and published by Springer. This book was released on 2011-06-29 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 4th IFIP WG 5.4. Working Conference on Computer- Aided Innovation, CAI 2011, held in Strasbourg, France, in June/July 2011. The 14 revised papers presented were carefully reviewed and selected from numerous submissions. They cover a broad range of topics from basic research to industrial applications of computer-aided innovation systems.

Author : Frank Hutter
Publisher : Springer
ISBN 13 : 3030053180
Total Pages : 223 pages
Book Rating : 4.85/5 ( download)

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Download or read book Automated Machine Learning written by Frank Hutter and published by Springer. This book was released on 2019-05-17 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.

Author : H.R. Madala
Publisher : CRC Press
ISBN 13 : 1351090399
Total Pages : 353 pages
Book Rating : 4.91/5 ( download)

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Download or read book Inductive Learning Algorithms for Complex Systems Modeling written by H.R. Madala and published by CRC Press. This book was released on 2019-08-08 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inductive Learning Algorithms for Complex Systems Modeling is a professional monograph that surveys new types of learning algorithms for modeling complex scientific systems in science and engineering. The book features discussions of algorithm development, structure, and behavior; comprehensive coverage of all types of algorithms useful for this subject; and applications of various modeling activities (e.g., environmental systems, noise immunity, economic systems, clusterization, and neural networks). It presents recent studies on clusterization and recognition problems, and it includes listings of algorithms in FORTRAN that can be run directly on IBM-compatible PCs. Inductive Learning Algorithms for Complex Systems Modeling will be a valuable reference for graduate students, research workers, and scientists in applied mathematics, statistics, computer science, and systems science disciplines. The book will also benefit engineers and scientists from applied fields such as environmental studies, oceanographic modeling, weather forecasting, air and water pollution studies, economics, hydrology, agriculture, fisheries, and time series evaluations.

Author : Liang Li
Publisher : Springer
ISBN 13 : 9811328536
Total Pages : 586 pages
Book Rating : 4.34/5 ( download)

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Download or read book Methods and Applications for Modeling and Simulation of Complex Systems written by Liang Li and published by Springer. This book was released on 2018-10-17 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 18th Asia Simulation Conference, AsiaSim 2018, held in Kyoto, Japan, in August 2018. The 45 revised full papers presented in this volume were carefully reviewed and selected from 90 submissions. The papers are organized in topical sections on modeling and simulation technology; soft computing and machine learning; high performance computing and cloud computing; simulation technology for industry; simulation technology for intelligent society; simulation of instrumentation and control application; computational mathematics and computational science; flow simulation; visualization and computer vision to support simulation.

Author : Changjun Hu
Publisher : Springer Nature
ISBN 13 : 9813299878
Total Pages : 247 pages
Book Rating : 4.70/5 ( download)

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Download or read book High-Performance Computing Applications in Numerical Simulation and Edge Computing written by Changjun Hu and published by Springer Nature. This book was released on 2019-08-28 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the referred proceedings of two workshops held at the 32nd ACM International Conference on Supercomputing, ACM ICS 2018, in Beijing, China, in June 2018. This volume presents the papers that have been accepted for the following workshops: Second International Workshop on High Performance Computing for Advanced Modeling and Simulation in Nuclear Energy and Environmental Science, HPCMS 2018, and First International Workshop on HPC Supported Data Analytics for Edge Computing, HiDEC 2018. The 20 full papers presented during HPCMS 2018 and HiDEC 2018 were carefully reviewed and selected from numerous submissions. The papers reflect such topics as computing methodologies; parallel algorithms; simulation types and techniques; machine learning.

Author : Michael Griebel
Publisher : Springer Science & Business Media
ISBN 13 : 3540680950
Total Pages : 472 pages
Book Rating : 4.56/5 ( download)

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Download or read book Numerical Simulation in Molecular Dynamics written by Michael Griebel and published by Springer Science & Business Media. This book was released on 2007-08-16 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book details the necessary numerical methods, the theoretical background and foundations and the techniques involved in creating computer particle models, including linked-cell method, SPME-method, tree codes, amd multipol technique. It illustrates modeling, discretization, algorithms and their parallel implementation with MPI on computer systems with distributed memory. The text offers step-by-step explanations of numerical simulation, providing illustrative code examples. With the description of the algorithms and the presentation of the results of various simulations from fields such as material science, nanotechnology, biochemistry and astrophysics, the reader of this book will learn how to write programs capable of running successful experiments for molecular dynamics.