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Differentiability with respect to parameters of solutions to convex programming problems

https://doi.org/10.1007/bf01584382
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf01580677openalex-snapshot
Sensitivity analysis for nonlinear programming using penalty methods
inferredcites →https://doi.org/10.1007/bfb0121215openalex-snapshot
Solution point differentiability without strict complementarity in nonlinear programming
inferredcites →https://doi.org/10.1017/s0004972700008595openalex-snapshot
Sequential algorithms in nonlinear programming
inferredcites →https://doi.org/10.1080/00029890.1982.11995475openalex-snapshot
At What Points is the Projection Mapping Differentiable?
inferredcites →https://doi.org/10.1090/s0002-9947-1973-0326252-2openalex-snapshot
Smoothness of Certain Metric Projections on Hilbert Space
inferredcites →https://doi.org/10.1090/s0002-9947-1982-0645326-5openalex-snapshot
Differentiability of the Metric Projection in Hilbert Space
inferredcites →https://doi.org/10.1137/0317026openalex-snapshot
Lipschitz Continuity for Constrained Processes
inferredcites →https://doi.org/10.1287/moor.5.1.43openalex-snapshot
Strongly Regular Generalized Equations
inferredcites →https://doi.org/10.2140/pjm.1976.64.97openalex-snapshot
On the inverse function theorem

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A direct application of higher‐order parametric programming techniques to structural optimization
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Sensitivity Analysis for Convex Multiobjective Programming in Abstract Spaces
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An Implicit Function Approach to Bilevel Programming Problems
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Optimization of a Stefan problem by nonsmooth methods
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Sensitivity analysis in multiobjective optimization
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Necessary optimality conditions for Stackelberg problems
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On the numerical solution of a class of Stackelberg problems
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Directional differentiability of optimal solutions under Slater's condition
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Hölder behavior of optimal solutions and directional differentiability of marginal functions in nonlinear programming
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Higher order sensitivity of solutions to convex programming problems without strict complementarity
inferred← citeshttps://doi.org/10.1007/s10473-025-0419-9openalex-snapshot
Gâteaux directional differentiability of the generalized metric projection in Banach spaces
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Directional Differentiability of the Metric Projection Operator in Uniformly Convex and Uniformly Smooth Banach Spaces
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Mordukhovich Derivatives of Metric Projection Operator in Hilbert Spaces
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Directional differentiability of metric projections onto moving sets at boundary points
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Sensitivity analysis for automatic loading in frictional contact formulated by complementarity
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On Stability of Discrete Systems With Delay
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A Bundle Algorithm Applied to Bilevel Programming Problems with Non-Unique Lower Level Solutions
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On Differentiability of Metric Projections onto Moving Convex Sets
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Bundle Trust-Region Algorithm for Bilinear Bilevel Programming
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The generalized jacobian of the optimal solution in parametric optimization
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On the directional derivative of the optimal solution mapping without linear independence constraint qualification
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b-Subgradients of the optimal value function in nonlinear programming
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The marginal value formula on regions of stability
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Quasidifferntiability of optimal solutions in parametric optimal solutions in parametric nonlinear optimization
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MINIMUM CONSTRAINT PERTURBATION METHOD FOR SYSTEM TOPOLOGY OPTIMIZATION
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Design Sensitivity Analysis of Elastic-Plastic Analysis Problems
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Sensitivity Analysis of Nonlinear Programs and Differentiability Properties of Metric Projections
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Second Order Directional Derivatives in Parametric Optimization Problems
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Efficient Gradient Approximation Method for Constrained Bilevel Optimization
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Directional differentiability of the metric projection in Hilbert space
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A direct application of parametric programming techniques to constrained optimization problems
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Shape optimization for contact and plasticity problems thanks to the level set method
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