A nonmonotone line search technique for Newton's method
SIAM Journal on Numerical Analysis
An Interior-Point Algorithm for Nonconvex Nonlinear Programming
Computational Optimization and Applications - Special issue on computational optimization—a tribute to Olvi Mangasarian, part II
Test Examples for Nonlinear Programming Codes
Test Examples for Nonlinear Programming Codes
Global Convergence of a Trust-Region SQP-Filter Algorithm for General Nonlinear Programming
SIAM Journal on Optimization
Interior-Point Methods for Nonconvex Nonlinear Programming: Filter Methods and Merit Functions
Computational Optimization and Applications
A globally convergent primal-dual interior-point filter method for nonlinear programming
Mathematical Programming: Series A and B
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
Mathematical Programming: Series A and B
A nonmonotone semismooth inexact Newton method
Optimization Methods & Software
On minimizing objective and KKT error in a filter line search strategy for an interior point method
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part III
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Here we present a primal-dual interior point nonmonotone line search filter method for nonlinear programming. The filter relies on three measures, the feasibility, the centrality and the optimality presented in the optimality conditions, and considers relaxed acceptability criteria for the step size and includes a feasibility restoration phase. Evaluation of the method has, until now, been made on small problems and a comparison is provided with a merit function approach.