On the Global Convergence of a Filter--SQP Algorithm
SIAM Journal on Optimization
Global Convergence of a Trust-Region SQP-Filter Algorithm for General Nonlinear Programming
SIAM Journal on Optimization
Exclusion Regions for Systems of Equations
SIAM Journal on Numerical Analysis
On the superlinear local convergence of a filter-SQP method
Mathematical Programming: Series A and B
A globally convergent primal-dual interior-point filter method for nonlinear programming
Mathematical Programming: Series A and B
A Multidimensional Filter Algorithm for Nonlinear Equations and Nonlinear Least-Squares
SIAM Journal on Optimization
Line Search Filter Methods for Nonlinear Programming: Local Convergence
SIAM Journal on Optimization
Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence
SIAM Journal on Optimization
Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics, 16)
A New Penalty Method for Nonlinear Programming
Computers & Mathematics with Applications
An SQP approach with line search for a system of nonlinear equations
Mathematical and Computer Modelling: An International Journal
A trust region SQP-filter method for nonlinear second-order cone programming
Computers & Mathematics with Applications
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Some constrained optimization approaches have been recently proposed for the system of nonlinear equations (SNE). Filter approach with line search technique is employed to attack the system of nonlinear equations in this paper. The system of nonlinear equations is transformed into a constrained nonlinear programming problem at each step, which is then solved by line search strategy. Furthermore, at each step, some equations are treated as constraints while the others act as objective functions, and filter strategy is then utilized. In essence, constrained optimization methods combined with filter technique are utilized to cope with the system of nonlinear equations.