Optipack

RESOURCE

Abstract

Used to solve basic unconstrained optimization problems that can produce smooth accurate gradients. These are standard published unconstrained optimization such as are described in the book Nocedal and Wright Numerical Optimization: 2nd edition, 2006. This software is generic to any mathematical optimization problem where smooth derivatives exist. There is no specific connection or mention whatsoever to any specific application, period. You cannot find more general mathematical software.OptiPack contains some simple optimization algorithms built on Thyra. Currently, only a few different nonlinear conjugate gradient methods are implemented.
Developers:
Release Date:
2010-03-30
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Sponsoring Org.:
Code ID:
1619
Site Accession Number:
4529
Research Org.:
Sandia National Laboratories
Country of Origin:
United States

RESOURCE

Citation Formats

Bartlett, Roscoe. Optipack. Computer Software. https://github.com/trilinos/Trilinos. USDOE. 30 Mar. 2010. Web. doi:10.11578/dc.20171025.1234.
Bartlett, Roscoe. (2010, March 30). Optipack. [Computer software]. https://github.com/trilinos/Trilinos. https://doi.org/10.11578/dc.20171025.1234.
Bartlett, Roscoe. "Optipack." Computer software. March 30, 2010. https://github.com/trilinos/Trilinos. https://doi.org/10.11578/dc.20171025.1234.
@misc{ doecode_1619,
title = {Optipack},
author = {Bartlett, Roscoe},
abstractNote = {Used to solve basic unconstrained optimization problems that can produce smooth accurate gradients. These are standard published unconstrained optimization such as are described in the book Nocedal and Wright Numerical Optimization: 2nd edition, 2006. This software is generic to any mathematical optimization problem where smooth derivatives exist. There is no specific connection or mention whatsoever to any specific application, period. You cannot find more general mathematical software.OptiPack contains some simple optimization algorithms built on Thyra. Currently, only a few different nonlinear conjugate gradient methods are implemented.},
doi = {10.11578/dc.20171025.1234},
url = {https://doi.org/10.11578/dc.20171025.1234},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20171025.1234}},
year = {2010},
month = {mar}
}