computational methodscutting-plane methodsquadratic programming problemsSummary This chapter contains sections titled: Gradientlike Computational Methods for Nonlinear Programs Duality in Nonlinear Programming Additional Computational Methods for Nonlinear Programs Quadratic Programming Summarydoi:10.1002/9781118032930.ch11Ronald E. MillerJohn Wiley ...
Nonlinear Programming contains the proceedings of a Symposium on Nonlinear Programming held in Madison, Wisconsin on May 4-6, 1970. This book emphasizes algorithms and related theories that lead to efficient computational methods for solving nonlinear programming problems. This compilation consists of 17...
These works are complementary in that they deal primarily with convex, possibly nondifferentiable, optimization problems and rely on convex analysis. By contrast the nonlinear programming book focuses primarily on analytical and computational methods for possibly nonconvex differentiable problems. It relies ...
This chapter deals with nonlinear programming problems when the objective function includes several variables and any type of constraints. There are several techniques to deal with such type of problems but here we are concerned with the Lagrange multiplier method applicable to nonlinear problems with ...
nonlinear programmingoptimal controlpiecewise constant techniquesstate-space methods/ nonlinear programmingcomputational methodfinite-dimensional approximationpiecewise constant functionsdynamic systemIn this paper, we consider a challenging optimal control problem in which the terminal time is determined by a ...
Theoretical or Mathematical/ computational complexityconvergencedynamic programmingGaussian processesiterative methodslinear quadratic Gaussian controlnonlinear control systemsperformance indexproduction controlstochastic programmingStochastic optimal control problems are considered that are non-linear in the state dynamics,...
pythonoptimizationlinear-programmingmodeling-languagenonlinear-programmingmathematical-programming UpdatedDec 18, 2024 Python casadi/casadi Star1.8k CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs....
PolynomialInteriorPointsMethodsforConvexOptimizationNesterov-Nemirovsky (1988) CombinatorialProblemsviacontinuousapproximations90’s ...MoreTheory,Algorithmicdevelopmentsandmuchmorespecificmodels, applications... MarcTeboulle–Tel-AvivUniversity–p.4 NonlinearProgramming:Formulation (O...
Learning to steer nonlinear interior-point methodsNonlinear programmingConstrained optimizationInterior-point algorithmReinforcement learningDeep Q-learningInterior-point or barrier methods handle nonlinear programs by sequentially solving barrier subprograms with a decreasing sequence of barrier parameters. The ...
- 《Optimization Methods & Software》 被引量: 224发表: 0年 A new augmented Lagrangian function for inequality constraints in nonlinear programming problems A new augmented Lagrangian function for inequality constraints in nonlinear pro- gramming problems[J]. Journal of Optimization Theory and ...