Výsledky vyhľadávania - convergence of a sequential quadratic programming algorithm~

A Strategy for Global Convergence in a Sequential Quadratic Programming Algorithm

Autori: Boggs, Paul T. Tolle, Jon W.

Zdroj: SIAM Journal on Numerical Analysis, 1989 Jun 01. 26(3), 600-623.

Prístupová URL adresa: https://www.jstor.org/stable/2157674

Sequential Quadratic Programming with Penalization of the Displacement: Sequential quadratic programming with penalization of the displacement

Autori: J. F. Bonnans G. Launay

Zdroj: SIAM Journal on Optimization. 5:792-812

Predmety: Newton's method, Numerical methods based on nonlinear programming, Numerical mathematical programming methods, Nonlinear programming, convergence of a sequential quadratic programming algorithm, 0211 other engineering and technologies, quasi-Newton algorithms, trust region, 02 engineering and technology, exact penalization

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/840242
https://doi.org/10.1137/0805038
https://dblp.uni-trier.de/db/journals/siamjo/siamjo5.html#BonnansL95
https://epubs.siam.org/doi/10.1137/0805038

On the rate of convergence of sequential quadratic programming with nondifferentiable exact penalty function in the presence of constraint degeneracy.

Zdroj: Math. Program., Series A; 92; 2002

Popis súboru: Medium: X; Size: 359-86

Prístupová URL adresa: http://www.osti.gov/scitech/biblio/942648

A sequential quadratic programming algorithm using an incomplete solution of the subproblem

Prispievatelia: Prieto, F [Universidad `Carlos III` de Madrid (Spain). Dept. de Estadistica y Econometria]

Zdroj: Other Information: PBD: May 1993

Popis súboru: Medium: ED; Size: 54 p.

Prístupová URL adresa: http://www.osti.gov/scitech/servlets/purl/10166655

A Strategy for Global Convergence in a Sequential Quadratic Programming Algorithm

Autori: Jon W. Tolle Paul T. Boggs

Zdroj: SIAM Journal on Numerical Analysis. 26:600-623

Predmety: 0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Prístupová URL adresa: https://www.jstor.org/stable/2157674
https://epubs.siam.org/doi/10.1137/0726036
https://ui.adsabs.harvard.edu/abs/1989SJNA...26..600B/abstract
https://locus.siam.org/doi/abs/10.1137/0726036
https://ci.nii.ac.jp/naid/30006819482

Local convergence of a sequential quadratic programming method for a class of nonsmooth nonconvex objectives

Autori: Wang, Jingyi Petra, Cosmin G.

Predmety: Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control

Prístupová URL adresa: http://arxiv.org/abs/2310.19286

Convergence of Successive Approximation Methods with Parameter Target Sets

Autori: Levy, Adam B.

Zdroj: Mathematics of Operations Research, 2005 Aug 01. 30(3), 765-784.

Prístupová URL adresa: https://www.jstor.org/stable/25151682

A sensitivity result for quadratic semidefinite programs with an application to a sequential quadratic semidefinite programming algorithm.

Autori: Garciés, Rodrigo Gómez, Walter Jarre, Florian

Zdroj: Computational & Applied Mathematics; 2012, Vol. 31 Issue 1, p205-218, 14p

Predmety: SENSITIVITY theory (Mathematics), QUADRATIC programming, SEMIDEFINITE programming, SEQUENTIAL analysis, ALGORITHMS, STOCHASTIC convergence, NUMERICAL analysis

On the convergence of a new trust region algorithm

Autori: Ya-xiang Yuan

Zdroj: Numerische Mathematik. 70:515-539

Predmety: global convergence, nonlinear constrained optimization problem, Numerical mathematical programming methods, Nonlinear programming, 0211 other engineering and technologies, trust region algorithm, penalty function, superlinear convergence, 02 engineering and technology, numerical results, sequential quadratic programming method

Popis súboru: application/xml

Prístupová URL adresa: https://link.springer.com/article/10.1007/s002110050133
https://rd.springer.com/article/10.1007/s002110050133

A particle swarm optimization-based ensemble metaheuristic for long-term transmission network expansion planning.

Autori: Hong, Libin Wang, Guodong Bai, Ruibin

Zdroj: Applied Soft Computing. Jul2025, Vol. 179, pN.PAG-N.PAG. 1p.

Predmety: Quadratic programming, Differential evolution, Metaheuristic algorithms, Covariance matrices, Algorithms, Particle swarm optimization, Evolutionary computation

On the Convergence of a Sequential Quadratic Programming Method with an Augmented Lagrangian Line Search Function: On the convergence of a sequential quadratic programming method with an augmented Lagrangian line search function

Autori: Klaus Schittkowski

Zdroj: Mathematische Operationsforschung und Statistik. Series Optimization. 14:197-216

Predmety: Numerical methods based on nonlinear programming, Numerical mathematical programming methods, Nonlinear programming, convergence theory, active set strategy, 0211 other engineering and technologies, numerical test results, 02 engineering and technology, Quadratic programming, sequential quadratic programming

Popis súboru: application/xml

Prístupová URL adresa: http://www.dynardo.de/fileadmin/Material_Dynardo/bibliothek/WOST_1.0/WOST_1_SequentialQuadraticProgrammingMethods_En.pdf
https://zbmath.org/3829643
https://doi.org/10.1080/02331938308842847
https://www.tandfonline.com/doi/abs/10.1080/02331938308842847
https://core.ac.uk/display/23827235

A sensitivity result for quadratic semidefinite programs with an application to a sequential quadratic semidefinite programming algorithm

Autori: Garcés,Rodrigo Gómez,Walter Jarre,Florian

Zdroj: Computational & Applied Mathematics v.31 n.1 2012

Predmety: semidefinite programming, second order sufficient condition, sequential quadratic programming, quadratic semidefinite programming, sensitivity, convergence

Popis súboru: text/html

Dostupnosť: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-03022012000100011

On the Convergence of a Sequential Quadratic Programming Method with an Augmented Lagrangian Line Search Functions.

Autori: STANFORD UNIV CA SYSTEMS OPTIMIZATION LAB Schittkowski,Klaus

Zdroj: DTIC AND NTIS

Témy: Theoretical Mathematics, Quadratic programming, Convergence, Sequences(Mathematics), Lagrangian functions, Optimization, Searching, Nonlinear programming, Algorithms, One dimensional, Superlinear convergence, WUNR047143, Text

URL: https://apps.dtic.mil/docs/citations/ADA115667

Global convergence of an SQP method without boundedness assumptions on any of the iterative sequences.

Autori: Solodov, Mikhail V.¹ solodov@impa.br

Zdroj: Mathematical Programming. Apr2009, Vol. 118 Issue 1, p1-12. 12p.

Predmety: *STOCHASTIC convergence, *ALGORITHMS, *MATHEMATICS, *LOGIC, QUADRATIC programming, MATHEMATICAL sequences, A priori

On the rate of convergence of sequential quadratic programming with nondifferentiable exact penalty function in the presence of constraint degeneracy.

Autori: Anitescu, Mihai

Zdroj: Mathematical Programming; 2002, Vol. 92 Issue 2, p359, 28p

Predmety: STOCHASTIC convergence, QUADRATIC programming, NONLINEAR programming, MATHEMATICAL programming

Avoiding the Maratos Effect by Means of a Nonmonotone Line Search II. Inequality Constrained Problems--Feasible Iterates

Autori: Bonnans, J. Frédéric Panier, Eliane R. Tits, André L. a ďalší

Zdroj: SIAM Journal on Numerical Analysis, 1992 Aug 01. 29(4), 1187-1202.

Prístupová URL adresa: https://www.jstor.org/stable/2157999

On the Rate of Convergence of Sequential Quadratic Programming with Nondifferentiable Exact Penalty Function in the Presence of Constraint Degeneracy

Autori: Mihai Anitescu The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Mihai Anitescu The Pennsylvania State University CiteSeerX Archives

Zdroj: ftp://info.mcs.anl.gov/pub/tech_reports/reports/P760.ps.Z

Predmety: Linear Convergence, Nondifferentiable Exact Penalty, Degenerate Nonlinear Program

Popis súboru: application/postscript

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.45.8885

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.45.8885

On the Rate of Convergence of Sequential Quadratic Programming with Nondifferentiable Exact Penalty Function in the Presence of Constraint Degeneracy

Autori: Mihai Anitescu Mathematics Mihai Anitescu The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Mihai Anitescu Mathematics Mihai Anitescu The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.math.pitt.edu/~anitescu/PUBLICATIONS/linconv8.ps.

Predmety: Linear Convergence, Nondifferentiable Exact Penalty, Degenerate Nonlinear Program

Popis súboru: application/postscript

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.35.3977; http://www.math.pitt.edu/~anitescu/PUBLICATIONS/linconv8.ps

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.35.3977
http://www.math.pitt.edu/~anitescu/PUBLICATIONS/linconv8.ps

Global Convergence of SMO Algorithm for Support Vector Regression.

Autori: Takahashi, Norikazu Jun Guo Tetsuo Nishi

Zdroj: IEEE Transactions on Neural Networks. Jun2008, Vol. 19 Issue 6, p971-982. 12p.

Predmety: *REGRESSION analysis, *STOCHASTIC convergence, *MULTIVARIATE analysis, *STRUCTURAL equation modeling, *ANALYSIS of variance, *ALGORITHMS, *VECTOR analysis, *LINEAR programming

A sequential quadratic programming algorithm without a penalty function, a filter or a constraint qualification for inequality constrained optimization.

Autori: Jian, Jinbao Tang, Chunming Hu, Qingjie a ďalší

Zdroj: Optimization. Jun2022, Vol. 71 Issue 6, p1603-1635. 33p.

Predmety: *QUADRATIC programming, *CONSTRAINT programming, *ALGORITHMS, *RELAXATION techniques, *NONLINEAR programming