Mar 25, 2018 · Abstract:This paper focuses on the design of sequential quadratic optimization (commonly known as SQP) methods for solving large-scale ...
This paper focuses on the design of sequential quadratic optimization (commonly known as SQP) methods for solving large-scale nonlinear optimization ...
This is made possible by a new strategy for dynamically updating the penalty parameter within the QP solver. This dynamic penalty parameter updating strategy is ...
Sep 30, 2024 · Inexact Sequential Quadratic Optimization with Penalty Parameter Updates within the QP Solver. Open Webpage · James V. Burke, Frank E. Curtis ...
This paper focuses on the design of sequential quadratic optimization (commonly known as SQP) methods for solving large-scale nonlinear optimization ...
Solver. Article. Inexact Sequential Quadratic Optimization with Penalty Parameter Updates within the QP Solver. July 2020; SIAM Journal on Optimization 30(3): ...
Abstract. We propose a sequential quadratic optimization method for solving nonlinear opti- mization problems with equality and inequality constraints.
Abstract. We propose a sequential quadratic optimization method for solving nonlinear con- strained optimization problems.
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Infeasible Nonlinear Programs: Theory and Algorithms. Inexact Sequential Quadratic Optimization with Penalty Parameter Updates Within the QP Solver
Inexact Sequential Quadratic Optimization with Penalty Parameter Updates Within the QP Solver ... A sequential quadratic programming optimization algorithm ...