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SIAMJO
2010
133views more  SIAMJO 2010»
13 years 3 months ago
Infeasibility Detection and SQP Methods for Nonlinear Optimization
This paper addresses the need for nonlinear programming algorithms that provide fast local convergence guarantees no matter if a problem is feasible or infeasible. We present an a...
Richard H. Byrd, Frank E. Curtis, Jorge Nocedal
SIAMJO
2002
133views more  SIAMJO 2002»
13 years 4 months ago
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
Abstract. Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained optimization problems with smooth nonlinear functions in the objective...
Philip E. Gill, Walter Murray, Michael A. Saunders
SIAMJO
2000
108views more  SIAMJO 2000»
13 years 4 months ago
Smooth SQP Methods for Mathematical Programs with Nonlinear Complementarity Constraints
Mathematical programs with nonlinear complementarity constraints are reformulated using better-posed but nonsmooth constraints. We introduce a class of functions, parameterized by...
Houyuan Jiang, Daniel Ralph
PROCEDIA
2010
173views more  PROCEDIA 2010»
13 years 3 months ago
Combination of an adaptive multilevel SQP method and a space-time adaptive PDAE solver for optimal control problems
We present an adaptive multilevel generalized SQP method to solve PDAE-constrained optimization problems. It explicitly allows the use of independent integration schemes such that...
Debora Clever, Jens Lang, Stefan Ulbrich, J. Carst...
SIAMJO
2010
87views more  SIAMJO 2010»
13 years 3 months ago
A Second Derivative SQP Method: Global Convergence
Abstract. Sequential quadratic programming (SQP) methods form a class of highly efficient algorithms for solving nonlinearly constrained optimization problems. Although second deri...
Nicholas I. M. Gould, Daniel P. Robinson