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1 - 10 of 25
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Parallel implementations of ensemble data assimilation for atmospheric prediction
Anderson J., Kershaw H., Collins N. IA3 (Proceedings of the 3rd Workshop on Irregular Applications: Architectures & Algorithms, Denver, CO, Nov 17-22, 2013) 1-4, 2013. Type: Proceedings
The irregular distribution of observations in space and time constitutes a challenge to parallel implementations of ensemble data assimilation for atmospheric prediction. That the distribution is also heterogeneous implies “a...
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Jan 7 2014 |
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Metaheuristics for bi-level optimization
Talbi E., Springer Publishing Company, Incorporated, New York, NY, 2013. 306 pp. Type: Book (978-3-642378-37-9)
Metaheuristics have emerged as the most widely used approach for solving difficult large-scale combinatorial optimization problems. A metaheuristic provides a framework for guiding application-specific heuristics, such as a gr...
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Oct 30 2013 |
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Recent advances in computational optimization
Fidanova S., Springer Publishing Company, Incorporated, New York, NY, 2013. 196 pp. Type: Book (978-3-319004-09-9)
This volume is a collection of contributions resulting from last year’s Workshop on Computational Optimization (WCO2012), which focused on algorithms based on metaheuristic methods applied to real-life problems....
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Sep 30 2013 |
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Partial differential equations: analytical and numerical methods
Gockenbach M., Society for Industrial and Applied Mathematics, Philadelphia, PA, 2010. 674 pp. Type: Book (978-0-898719-35-2)
This book, an introduction to partial differential equations (PDEs), is intended for undergraduate-level courses. It introduces students to the topic using a unique approach that emphasizes the modern finite element method (FEM) alongs...
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Jul 29 2011 |
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 Algorithm 900: a discrete time Kalman filter package for large scale problems
Torres G. ACM Transactions on Mathematical Software 37(1): 1-16, 2010. Type: Article
This paper is a valiant original effort to address the design of state-of-the-art sequential data assimilation codes for large-scale problems. Its main objective is to present a package of various versions of the Kalman filter implemen...
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Mar 31 2010 |
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A compendium of partial differential equation models: method of lines analysis with MATLAB
Schiesser W., Griffiths G., Cambridge University Press, New York, NY, 2009. 490 pp. Type: Book (9780521519861), Reviews: (2 of 2)
This volume consists of a number of self-contained chapters that treat classic partial differential equations (PDEs) models, using the method of lines in which the spatial part of partial derivatives is approximated by finite differenc...
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Jul 22 2009 |
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Lagrange multiplier approach to variational problems and applications
Ito K., Kunisch K., Society for Industrial and Applied Mathematics, Philadelphia, PA, 2008. 341 pp. Type: Book (9780898716498)
This is a very comprehensive monograph that uses Lagrange multiplier theory to present optimization, including constrained and convex optimization in functional spaces. It analyzes optimization methods involving partial differential eq...
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Mar 16 2009 |
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Differential dynamical systems (Monographs on Mathematical Modeling and Computation)
Meiss J., Society for Industrial and Applied Mathematics, Philadelphia, PA, 2007. 434 pp. Type: Book (9780898716351), Reviews: (1 of 2)
This well-written book is aimed at advanced undergraduate and graduate students who have taken a traditional course on ordinary differential equations (ODEs) and linear algebra, and have been exposed to advanced calculus....
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Sep 4 2008 |
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Real-time PDE-constrained optimization (Computational Science and Engineering)
Biegler L., Ghattas O., Heinkenschloss M., Keyes D., Waanders B., Society for Industrial and Applied Mathematics, Philadelphia, PA, 2007. 312 pp. Type: Book (9780898716214)
Optimal control of partial differential equations (PDEs) is at the forefront of many challenging real-life problems that require real-time solutions using reliable large-scale optimization algorithms. The collection of papers in this b...
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Mar 31 2008 |
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Optimized Bayesian dynamic advising: theory and algorithms
Karny M., Springer-Verlag New York, Inc., Secaucus, NJ, 2005. 529 pp. Type: Book (9781852339289)
The research presented in this book concerns the development of an original theory of Bayesian dynamic decision making (DM) under uncertainty, a theory that supports the construction of efficient adaptive DM systems and the creation of...
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May 22 2006 |
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