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Towards Optimal Solvers for PDE-Constrained Optimization

Towards Optimal Solvers for PDE-Constrained Optimization

Towards Optimal Solvers for PDE-Constrained Optimization. Volkan Akcelik Omar Ghattas Carnegie Mellon University George Biros New York University. TOPS Winter Meeting Livermore, CA January 25-26, 2002. Simulation vs. Optimization. PDE model Simulation (forward) problem

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918 views • 59 slides
Lanczos Representation Methods in Application to Rovibrational Spectroscopy Calculations

Lanczos Representation Methods in Application to Rovibrational Spectroscopy Calculations

Lanczos Representation Methods in Application to Rovibrational Spectroscopy Calculations. Hong Zhang and Sean Smith Quantum & Molecular Dynamics Group Center for Computational Molecular Science The University of Queensland, Australia. 1. Lanczos representation methods.

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427 views • 32 slides
UNEDF 2011 ANNUAL/FINAL MEETING

UNEDF 2011 ANNUAL/FINAL MEETING

UNEDF 2011 ANNUAL/FINAL MEETING. Progress report on the BIGSTICK configuration-interaction code Calvin Johnson 1 Erich Ormand 2 Plamen Krastev 1,2,3 1 San Diego State University, 2 Lawrence Livermore Lab, 3 Harvard University Supported by DOE Grants DE-FG02-96ER40985,DE-FC02-09ER41587,

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435 views • 32 slides
Lanczos Representation Methods in Application to Rovibrational Spectroscopy Calculations

Lanczos Representation Methods in Application to Rovibrational Spectroscopy Calculations

Lanczos Representation Methods in Application to Rovibrational Spectroscopy Calculations. Hong Zhang and Sean Smith Quantum & Molecular Dynamics Group Center for Computational Molecular Science The University of Queensland, Australia. 1. Lanczos representation methods.

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413 views • 32 slides
Interface for Eigenvalue Methods

Interface for Eigenvalue Methods

Interface for Eigenvalue Methods. John Wu Lawrence Berkeley National Laboratory john.wu@nersc.gov kwu@lbl.gov. Outline. Review eigenvalue methods Examine existing schemes Explore possible alternatives. Types of Eigenvalue Problems. Standard: Ax = l x Generalized: Ax = l Bx

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317 views • 19 slides
Lanczos approach using out-of-core memory for eigenvalues and diagonal of inverse problems

Lanczos approach using out-of-core memory for eigenvalues and diagonal of inverse problems

Lanczos approach using out-of-core memory for eigenvalues and diagonal of inverse problems. Pierre Carrier , Yousef Saad, James Freericks, Ehsan Khatami, Marcos Rigol, Tarek El-Ghazawi. Description of the physical problems: 1. Numerical Linked-clusters (NLC)

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345 views • 17 slides
Hong Zhang a , Sean Smith a and Suresh Bhatia b

Hong Zhang a , Sean Smith a and Suresh Bhatia b

Mixed Quantum Dynamics/Molecular Dynamics Simulations of Transport Properties of Hydrogen/Deuterium in Nano-porous Materials. Hong Zhang a , Sean Smith a and Suresh Bhatia b. Centre for Computational Molecular Science a , Division of Chemical Engineering b

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110 views • 1 slides

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