On the combination of the multiplier method of Hestenes and Powell with Newton's method
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Publication:2264406
DOI10.1007/BF02665291zbMath0272.65046MaRDI QIDQ2264406
Publication date: 1975
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
Related Items
Augmentability in optimization theory, Upper semicontinuity of set-valued functions, Quadratic multiplier method convergence, On a characterization of convergence for the Hestenes method of multipliers, Diagonalized multiplier methods and quasi-Newton methods for constrained optimization, A second-order method for the general nonlinear programming problem, Local convergence of the diagonalized method of multipliers, A geometric method in nonlinear programming, Dynamic programming and penalty functions, Local convergence of an algorithm for solving optimal control problems
Cites Work
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- Multiplier and gradient methods
- Use of the augmented penalty function in mathematical programming problems. I
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- The multiplier method of Hestenes and Powell applied to convex programming
- A dual approach to solving nonlinear programming problems by unconstrained optimization
- A Nonlinear Optimal Control Minimization Technique
- Augmented Lagrange Multiplier Functions and Duality in Nonconvex Programming
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