NonLinear Parallel OPtimization Tool, Phase I

Metadata Updated: May 2, 2019

CU Aerospace, in partnership with the University of Illinois propose the further development of a new sparse nonlinear programming architecture that exploits parallelism at three levels. The Nonlinear Parallel Optimization Tool (NLPAROPT) is a black-box NLP solver intended to take advantage of multicore processors and distributed processing super computers alike to vastly improve the time-to-solution for optimization problems. It has been built with NASA trajectory optimization problems in mind, but can be applied to any class of NLP problem. By parallelising not only the basic linear algebra, but also the derivative calculation, problem formulation, and sparse aspects of typical problems, significant speed improvements are achievable by comparison to existing open source and commerical NLP solvers.

Access & Use Information

Public: This dataset is intended for public access and use. License: U.S. Government Work

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Metadata Created Date August 1, 2018
Metadata Updated Date May 2, 2019

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date May 2, 2019
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_89731
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Datagov Dedupe Retained 20190501230127
Harvest Object Id 0e501e47-8672-4995-9f4a-311f5f3890bf
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2016-12-01
Homepage URL
Data Last Modified 2018-07-19
Program Code 026:027
Source Datajson Identifier True
Source Hash 5bae047c79ea04c57ed0a6335d7d469fb9b5b48f
Source Schema Version 1.1

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