NonLinear Parallel OPtimization Tool, Phase II

Metadata Updated: November 12, 2020

The technological advancement proposed is a novel large-scale Noninear Parallel OPtimization Tool (NLPAROPT). This software package will eliminate the computational bottleneck suffered by many standard NASA-utilized analysis tools such as GMAT, EMTG and NASTRAN. Currently these programs rely on serial nonlinear programming solvers such as the Sparse Nonlinear OPTimizer (SNOPT), despite the fact that their own codebases support full parallelization. The same is true for tools used in other industries for applications such as electric power grid optimization, nuclear reactor control and stock market analysis. The NLPAROPT algorithm can be quickly incorporated into these existing software solutions via a user-friendly interface and will offer an instant runtime reduction for very large-scale optimization problems. Irrespective of runtime gains, Phase I analysis has shown that the NLPAROPT algorithm is capable of outperforming industry standard serial solvers such as SNOPT for tested problems, including complex trajectory design problems. The Phase I effort has also identified several potential computational research avenues that, once completed in Phase II, will result in massive execution speed increases, further improving the attractiveness of this new parallel algorithm.

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Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher Space Technology Mission Directorate
Unique Identifier Unknown
Identifier TECHPORT_93669
Data First Published 2019-04-01
Data Last Modified 2020-01-29
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Homepage URL
Program Code 026:027
Source Datajson Identifier True
Source Hash 869f6c53412c1726f4724e0f760d90c42b824ce0
Source Schema Version 1.1

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