Zobrazeno 1 - 10 of 43 pro vyhledávání: '"Bethany L. Nicholson"'
1
Scalable Parallel Nonlinear Optimization with PyNumero and Parapint
Autor: Jose S. Rodriguez, Robert B. Parker, Carl D. Laird, Bethany L. Nicholson, John D. Siirola, Michael L. Bynum
Publikováno v: INFORMS Journal on Computing. 35:509-517
We describe PyNumero, an open-source, object-oriented programming framework in Python that supports rapid development of performant parallel algorithms for structured nonlinear programming problems (NLP’s) using the Message Passing Interface (MPI).
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c5307197958d9b934634772c60c4fab3
https://doi.org/10.1287/ijoc.2023.1272
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3
Parallel cyclic reduction decomposition for dynamic optimization problems
Autor: Bethany L. Nicholson, Wei Wan, Lorenz T. Biegler, John P. Eason
Publikováno v: Computers & Chemical Engineering. 120:54-69
Direct transcription of dynamic optimization problems, with differential-algebraic equations discretized and written as algebraic constraints, can create very large nonlinear optimization problems. When this discretized optimization problem is solved
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a2afc77172d2e26c9cd9866ca65a1aaa
https://doi.org/10.1016/j.compchemeng.2017.09.023
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4
Performance: Model Construction and Solver Interfaces
Autor: Carl D. Laird, David L. Woodruff, Gabriel A. Hackebeil, William E. Hart, Bethany L. Nicholson, Michael Bynum, Jean-Paul Watson, John Daniel Siirola
Publikováno v: Pyomo — Optimization Modeling in Python ISBN: 9783030689278
This chapter documents tools for profiling model construction and improving the performance of both model construction and interaction with solvers. We begin by discussing various profiling tools which can be used to help identify performance bottlen
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::34e123b733513232951d72a2d085e19a
https://doi.org/10.1007/978-3-030-68928-5_9
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6
A Brief Python Tutorial
Autor: William E. Hart, John Daniel Siirola, David L. Woodruff, Jean-Paul Watson, Carl D. Laird, Bethany L. Nicholson, Gabriel A. Hackebeil, Michael Bynum
Publikováno v: Pyomo — Optimization Modeling in Python ISBN: 9783030689278
This chapter provides a short tutorial of the Python programming language. This chapter briefly covers basic concepts of Python, including variables, expressions, control flow, functions, and classes. The goal is to provide a reference for the Python
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7c72b286261ca649e949a3246c434550
https://doi.org/10.1007/978-3-030-68928-5_14
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