Generalized derivatives of optimal-value functions with parameterized convex programs embedded

Cites Work

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An LP-Newton method: nonsmooth equations, KKT systems, and nonisolated solutions
Generalized derivatives for solutions of parametric ordinary differential equations with non-differentiable right-hand sides
Convexity and concavity properties of the optimal value function in parametric nonlinear programming
Introduction to sensitivity and stability analysis in nonlinear programming
Generalized derivatives of dynamic systems with a linear program embedded
Subgradients of marginal functions in parametric mathematical programming
A minimal set-valued strong derivative for vector-valued Lipschitz functions
Uniqueness of solution in linear programming
A bundle-Newton method for nonsmooth unconstrained minimization
Nonsmooth equations in optimization. Regularity, calculus, methods and applications
Generalized derivatives of lexicographic linear programs
Directional derivatives of the solution of a parametric nonlinear program
Generalized derivatives of the optimal value of a linear program with respect to matrix coefficients
A nonsmooth version of Newton's method
On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
Generalized Benders decomposition
Lexicographic differentiation of nonsmooth functions
A globally convergent LP-Newton method
Introduction to Piecewise Differentiable Equations
Newton's Method for B-Differentiable Equations
Directional differentiability of the optimal value function in a nonlinear programming problem
On Subdifferentials of Optimal Value Functions
A vector forward mode of automatic differentiation for generalized derivative evaluation
EXTENSION OF NEWTON AND QUASI-NEWTON METHODS TO SYSTEMS OF PC^1 EQUATIONS
Regularity properties of the optimal value function in non linear programming
The Generalized Gradient of a Marginal Function in Mathematical Programming
Lagrange multipliers and subderivatives of optimal value functions in nonlinear programming
Proximal Subgradients, Marginal Values, and Augmented Lagrangians in Nonconvex Optimization
Generalized Gradients and Applications
Directional Derivatives for Extremal-Value Functions with Applications to the Completely Convex Case
Semismooth Newton Methods for Operator Equations in Function Spaces
Generalized Sensitivity Analysis of Nonlinear Programs
Generalized sensitivity analysis of nonlinear programs using a sequence of quadratic programs
Differentiability Properties of Optimal Value Functions
Computationally relevant generalized derivatives: theory, evaluation and applications
Branch-locking AD techniques for nonsmooth composite functions and nonsmooth implicit functions
Convergence Analysis of Some Algorithms for Solving Nonsmooth Equations
Finite-Dimensional Variational Inequalities and Complementarity Problems
The Theory of Max-Min, with Applications
Convex Analysis
Point-to-Set Maps in Mathematical Programming

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