Filter trust region method for nonlinear semi-infinite programming problem
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Publication:1720831
DOI10.1155/2018/3921592zbMath1427.90282OpenAlexW2845388577MaRDI QIDQ1720831
Publication date: 8 February 2019
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2018/3921592
Nonlinear programming (90C30) Semi-infinite programming (90C34) Methods of successive quadratic programming type (90C55)
Cites Work
- A new exact penalty function method for continuous inequality constrained optimization problems
- A filter trust region method for solving semi-infinite programming problems
- A globally convergent SQP method for semi-infinite nonlinear optimization
- A proximal bundle method for constrained nonsmooth nonconvex optimization with inexact information
- An affine scaling interior trust-region method combining with line search filter technique for optimization subject to bounds on variables
- A new computational algorithm for functional inequality constrained optimization problems
- A line search filter-SQP method with Lagrangian function for nonlinear inequality constrained optimization
- A norm-relaxed method of feasible directions for finely discretized problems from semi-infinite programming
- DUALITY, HAAR PROGRAMS, AND FINITE SEQUENCE SPACES
- Computational discretization algorithms for functional inequality constrained optimization
- Discretization in semi-infinite programming: the rate of convergence
- Nonlinear programming without a penalty function.
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