Mimetic Least Squares Methods with Preconditioners for Darcy Flow
Abstract not provided.
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Jump to search filtersTowards High Performance Computing Application Energy Efficiency
Abstract not provided.
Suppression of decoherence due to spin diffusion for bismuth qubits in silicon
Physical Review Letters
Abstract not provided.
Hardware Assisted Message Logging for Extreme-Scale Systems
Abstract not provided.
Preliminary Investigations of Multi-Core Accelerated Embedded Uncertainty Quantification
Abstract not provided.
Energy Minimizing AMG for Problem Sequences: Adaptation to Applications and Advanced Architectures
Abstract not provided.
Bayesian Model Selection Between Underdetermined Nuclear Reactor Models
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Modeling and Optimization of Block-Composable Mathematical Programs using Coopr
Abstract not provided.
Partitioning for Hybrid Solvers: ShyLU and HIPS
Abstract not provided.
Importance Sampling for Rare Event Estimation with Computer Experiments
Abstract not provided.
Toward an Unstructured Electrostatic Particle-in-Cell scheme with no Self Force
Abstract not provided.
Preconditioning of Matrix-Free Full-Space Trust-Region SQP Algorithms for Nonlinear PDE Optimization
Abstract not provided.
Efficient structure-preserving model reduction for nonlinear mechanical systems with application to structural dynamics
Abstract not provided.
Portals 4 Exascale
Abstract not provided.
Solving Large-Scale Inverse Problems in Elasticity Using Sequential Quadratic Programming (SQP)
Abstract not provided.
Mathema'cal and algorithmic founda'ons for op'miza'on--based modeling (OBM)
Abstract not provided.
Uncertainty quantification of equation-of-state closures and shock hydrodynamics
Abstract not provided.
Efficient Handling of Inequality Constraints in a Matrix-Free Trust-Region SQP Algorithm
Abstract not provided.
Mathematical and Algorithmic Foundations for Optimization-Based Modeling (OBM): a New Strategy for the Compatible Discretization and Scalable Solution of Multiphysics Problems
Abstract not provided.
Dax One Page Overview (Spring 2012)
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Dax: Data Analysis at Extreme (Poster ASCR Exascale PI Meeting Spring 2012)
Abstract not provided.
Practical UQ for Engineering Applications with DAKOTA
Abstract not provided.
Estimation of multiscale fields representing anthropogenic CO2 emissions from sparse observations
Abstract not provided.
Evaluation of Mixed Continuous-Discrete Surrogate Approaches
Abstract not provided.
A locally conservative, discontinuous least-squares finite element method for the Stokes equations
International Journal for Numerical Methods in Fluids
Conventional least-squares finite element methods (LSFEMs) for incompressible flows conserve mass only approximately. For some problems, mass loss levels are large and result in unphysical solutions. In this paper we formulate a new, locally conservative LSFEM for the Stokes equations wherein a discrete velocity field is computed that is point-wise divergence free on each element. The central idea is to allow discontinuous velocity approximations and then to define the velocity field on each element using a local stream-function. The effect of the new LSFEM approach on improved local and global mass conservation is compared with a conventional LSFEM for the Stokes equations employing standard C 0 Lagrangian elements. © 2011 John Wiley & Sons, Ltd.
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