Results 281 to 290 of about 4,249,295 (316)

Reduced order modeling in iTOUGH2

Computers & Geosciences, 2014
The inverse modeling and uncertainty quantification capabilities of iTOUGH2 are augmented with reduced order models (ROMs) that act as efficient surrogates for computationally expensive high fidelity models (HFMs). The implementation of the ROM capabilities involves integration of three main computational components.
George Shu Heng Pau, Yingqi Zhang, Stefan Finsterle, Haruko M. Wainwright, Jens T. Birkholzer   +4 more
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On Synthesis of Reduced Order Models

2011
A framework for model reduction and synthesis is presented, which enables the re-use of reduced order models in circuit simulation. Two synthesis techniques are considered for obtaining the circuit representation (netlist) of the reduced model: (1) by means of realizing the reduced transfer function and (2) by unstamping the reduced system matrices ...
Ionutiu, R., Rommes, J.
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Reduced Models for Efficient CCS Verification

Formal Methods in System Design, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BARBUTI, ROBERTO, DE FRANCESCO, NICOLETTA, SANTONE A, VAGLINI, GIGLIOLA   +3 more
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Reduced gradient bubble model

International Journal of Bio-Medical Computing, 1990
An approach to decompression modeling, the reduced gradient bubble model (RGBM), is developed from the critical phase hypothesis. The phase limit is introduced, extended, and applied within bubble-nucleation theory proposed by Yount. Much is different in the RGBM algorithm, on both theoretical and applied sides, with a focus on permissible bubble ...
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Probabilistic Planning with Reduced Models

Proceedings of the AAAI Conference on Artificial Intelligence, 2014
Markov decision processes (MDP) offer a rich model that has been extensively used by the AI community for planning and learning under uncertainty. However, solving MDPs is often intractable, which has led to the development of many approximate algorithms.
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A Task Model to Reduce Control Delays

Real-Time Systems, 2004
Industrial control applications are usually developed in two phases: control design and real-time system implementation. In the control design stage a regulator is obtained and later it is translated into an algorithm in the implementation phase. Traditionally, these two phases have been developed in separate ways.
Patricia Balbastre, Ismael Ripoll, Josep Vidal Canet, Alfons Crespo   +3 more
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A Reduced SNARE Model for Membrane Fusion

Angewandte Chemie, 2009
AbstractEin Minimalmodell für die SNARE‐vermittelte Fusion biologischer Membranen wurde entwickelt. Die Fusion zwischen zwei Populationen von Liposomen wird durch ein Paar komplementärer lipidierter Oligopeptide gelenkt, die nichtkovalente doppelt gewendelte Komplexe bilden und dadurch die Membranen in unmittelbare Nähe zueinander zwingen.
Robson Marsden, H., Elbers, N.A., Bomans, P.H.H., Sommerdijk, N.A.J.M., Kros, A.   +4 more
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Reducing Symmetry in Matrix Models

2002
Symmetry in a CSP is a permutation of variables, or the values in the domains, or both which preserve the state of the search: either all of them lead to a solution or none does. Hence, elimination of symmetry is essential to avoid exploring equivalent branches in a search tree.
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Reduced-Order Modeling and Filtering

1982
In this chapter the purpose is to show how one can find a reduced-order model or a reduced-order filter with a reasonable amount of design effort. It is the author's current feeling that any result which requires the solution of a nonlinear matrix two-point boundary-valued problem of high order, is not practical. The design procedure in such cases will
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Model-reduced inverse modeling

2006
Although faster computers have been developed in recent years, they tend to be used to solve even more detailed problems. In many cases this will yield enormous models that can not be solved within acceptable time constraints. Therefore, there is a need for alternative methods that simulate such models more efficiently ans conserve the detailed ...
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