Approximate greatest descent methods for optimization with equality constraints
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Publication:535080
DOI10.1007/s10957-010-9765-3zbMath1211.90231OpenAlexW2092323994MaRDI QIDQ535080
Publication date: 11 May 2011
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10957-010-9765-3
optimizationLagrange multipliersequality constraintsNewton methodaccessory functionapproximate greatest descent iteration
Related Items (5)
Continuation methods with the trusty time-stepping scheme for linearly constrained optimization with noisy data ⋮ The regularization continuation method with an adaptive time step control for linearly constrained optimization problems ⋮ The regularization continuation method for optimization problems with nonlinear equality constraints ⋮ On a two-phase approximate greatest descent method for nonlinear optimization with equality constraints ⋮ On the bang-bang control approach via a component-wise line search strategy for unconstrained optimization
Cites Work
- Unnamed Item
- Unnamed Item
- Greatest descent algorithms in unconstrained optimization
- Algorithms for unconstrained optimization problems via control theory
- Constrained optimization and image space analysis. Vol. 1: Separation of sets and optimality conditions
- Control space properties of cooperative games
- Differential games, dynamic optimization, and generalized control theory
- On the method of multipliers for mathematical programming problems
- On the Global Convergence of a Filter--SQP Algorithm
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