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Parallel Object-Oriented Framework Optimization *. Dan Quinlan. Center for Applied Scientific Computing. Lawrence Livermore National Laboratory dquinlan(lllnl ...
May 1, 2020 · Dakota contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, ...
Nov 1, 2021 · Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and ...
Application codes increasingly fail to realize the potential performance of modern parallel architectures; compilers have only limited mechanisms with which ...
This report presents a general Objected-Oriented Framework for Parallel and Multiple Optimizations. We designed a general Objected-Oriented Class Library ...
The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and ...
Aug 9, 2024 · Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and ...
This paper presents an approach toward the optimization of parallel object-oriented libraries. ResearchGate Logo. Discover the world's research. 25+ million ...
This paper describes PICO (Parallel Integer and Combinatorial Optimizer), an object-oriented framework for parallel implementation of branch-and-bound ...
Jul 30, 2024 · DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and ...