Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Philip E. Gill"'
Publikováno v:
SIAM Journal on Optimization. 30:1067-1093
In nonlinearly constrained optimization, penalty methods provide an effective strategy for handling equality constraints, while barrier methods provide an effective approach for the treatment of in...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ce6f98ac8310c3ef0188405d3ee1e9f
https://doi.org/10.1137/19m1247425
https://doi.org/10.1137/19m1247425
Publikováno v:
Computer Modeling in Engineering & Sciences. 120:517-543
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5eb180f33641c163f0e7bb01d7d7484
https://doi.org/10.32604/cmes.2019.06269
https://doi.org/10.32604/cmes.2019.06269
Publikováno v:
AIAA Scitech 2020 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0214d5d2b4fb6355b0986468d0e8148e
https://doi.org/10.2514/6.2020-0987
https://doi.org/10.2514/6.2020-0987
Publikováno v:
Discrete & Continuous Dynamical Systems - S. 11:1259-1282
In this article, structure-exploiting optimisation algorithms of the sequential quadratic programming (SQP) type are considered for optimal control problems with control and state constraints. Our approach is demonstrated for a 1D mathematical model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e2fe280e08ba76ee92822685befba7b
https://doi.org/10.3934/dcdss.2018071
https://doi.org/10.3934/dcdss.2018071
Publikováno v:
Mathematical Programming. 163:369-410
Stabilized sequential quadratic programming (sSQP) methods for nonlinear optimization generate a sequence of iterates with fast local convergence regardless of whether or not the active-constraint gradients are linearly dependent. This paper concerns
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::761b2b512964aa22182d608b50a090b2
https://doi.org/10.1007/s10107-016-1066-7
https://doi.org/10.1007/s10107-016-1066-7
Publikováno v:
IMA Journal of Numerical Analysis. 37:407-443
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fd030f3a59d9ba9e12e65b110c15c47
https://doi.org/10.1093/imanum/drw004
https://doi.org/10.1093/imanum/drw004
Autor:
Philip E. Gill, Elizabeth Wong
Publikováno v:
Mathematical Programming Computation. 7:71-112
Computational methods are considered for finding a point that satisfies the second-order necessary conditions for a general (possibly nonconvex) quadratic program (QP). The first part of the paper considers the formulation and analysis of an active-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89b5f04e551d44cb70aff316811ab005
https://doi.org/10.1007/s12532-014-0075-x
https://doi.org/10.1007/s12532-014-0075-x
Autor:
Philip E. Gill, Daniel P. Robinson
Publikováno v:
Gill, PE; & Robinson, DP. (2013). A globally convergent stabilized sqp method. SIAM Journal on Optimization, 23(4), 1983-2010. doi: 10.1137/120882913. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/4mj7b38c
SIAM Journal on Optimization, vol 23, iss 4
SIAM Journal on Optimization, vol 23, iss 4
Sequential quadratic programming (SQP) methods are a popular class of methods for nonlinearly constrained optimization. They are particularly effective for solving a sequence of related problems, such as those arising in mixed-integer nonlinear progr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07aa8e06fa796f41b536ebc4aaa46942
https://doi.org/10.1137/120882913
https://doi.org/10.1137/120882913