An \(RQP\) algorithm using a differentiable exact penalty function for inequality constrained problems
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Publication:1194855
DOI10.1007/BF01581190zbMath0767.90060MaRDI QIDQ1194855
Luigi Grippo, Francisco Facchinei, Gianni Di Pillo
Publication date: 6 October 1992
Published in: Mathematical Programming. Series A. Series B (Search for Journal in Brave)
global and superlinear convergenceinequality constraintsrecursive quadratic programmingdifferentiable exact penalty function
Quadratic programming (90C20) Numerical methods based on nonlinear programming (49M37) Computational methods for problems pertaining to operations research and mathematical programming (90-08)
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Cites Work
- The nonlinear programming method of Wilson, Han, and Powell with an augmented Lagrangian type line search function. I. Convergence analysis
- A globally convergent algorithm for nonlinearly constrained optimization problems
- Test examples for nonlinear programming codes
- A globally convergent method for nonlinear programming
- Convergence Properties of Algorithms for Nonlinear Optimization
- A multiplier method with automatic limitation of penalty growth
- Stability of the solution of definite quadratic programs
- Revisions of constraint approximations in the successive QP method for nonlinear programming problems
- A Continuously Differentiable Exact Penalty Function for Nonlinear Programming Problems with Inequality Constraints
- A successive quadratic programming algorithm with global and superlinear convergence properties
- A recursive quadratic programming algorithm that uses differentiable exact penalty functions
- An exact penalty function method with global convergence properties for nonlinear programming problems
- A Convergence Theory for a Class of Quasi-Newton Methods for Constrained Optimization
- Reduced quasi-Newton methods with feasibility improvement for nonlinearly constrained optimization
- A surperlinearly convergent algorithm for constrained optimization problems
- The watchdog technique for forcing convergence in algorithms for constrained optimization
- On the Local Convergence of Quasi-Newton Methods for Constrained Optimization
- Nonlinear programming via an exact penalty function: Global analysis
- Nonlinear programming via an exact penalty function: Asymptotic analysis
- Superlinearly convergent variable metric algorithms for general nonlinear programming problems
- On the Convergence of Some Constrained Minimization Algorithms Based on Recursive Quadratic Programming
- Some examples of cycling in variable metric methods for constrained minimization
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