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Subdifferential Convergence in Stochastic Programs
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Computation of Descent Directions in Stochastic Optimization Problems with Invariant Distributions
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Numerical Techniques for Stochastic Optimization
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Conditional Probability and Conditional Expectation of a Random Vector
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Approximation Techniques in Stochastic Programming
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Nonlinear Programming Techniques Applied to Stochastic Programs with Recourse
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Stochastic Programming: Solution Techniques and Approximation Schemes
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Approximationen der Entscheidungsprobleme mit linearer Ergebnisfunktion und positiv homogener, subadditiver Verlustfunktion
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Sublinear upper bounds for stochastic programs with recourse
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Quasidifferentials and maximal normal operators
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Continuous approximation schemes for stochastic programs
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Approximate nonlinear programming algorithms for solving stochastic programs with recourse
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A generalization of Polyak's convergence result for subgradient optimization
inferredcites →https://doi.org/10.1007/bfb0121114openalex-snapshot
Designing approximation schemes for stochastic optimization problems, in particular for stochastic programs with recourse
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Algorithms for stochastic programs: The case of nonstochastic tenders
inferredcites →https://doi.org/10.1007/bfb0121129openalex-snapshot
Computation of descent directions and efficient points in stochastic optimization problems without using derivatives
inferredcites →https://doi.org/10.1016/0022-247x(90)90347-iopenalex-snapshot
Semismoothness and decomposition of maximal normal operators
inferredcites →https://doi.org/10.1016/0362-546x(89)90091-6openalex-snapshot
The maximal normal operator space and integration of subdifferentials of nonconvex functions
inferredcites →https://doi.org/10.1016/s0927-0507(89)01009-1openalex-snapshot
Chapter VIII Stochastic programming
inferredcites →https://doi.org/10.1080/17442508308833246openalex-snapshot
stochastic quasigradient methods and their application to system optimization †
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Solving stochastic programs with simple recourse
inferredcites →https://doi.org/10.1080/17442509108833676openalex-snapshot
Epi‐consistency of convex stochastic programs
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Stability in Two-Stage Stochastic Programming
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Approximations to Stochastic Programs with Complete Recourse
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Optimization and Nonsmooth Analysis
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Asymptotic Behavior of Statistical Estimators and of Optimal Solutions of Stochastic Optimization Problems
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Computing Block-Angular Karmarkar Projections with Applications to Stochastic Programming
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Solving SLP Recourse Problems with Arbitrary Multivariate Distributions—The Dependent Case
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On the Convergence of Algorithms with Implications for Stochastic and Nondifferentiable Optimization
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Semiregularity and Generalized Subdifferentials with Applications to Optimization
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Quadratic Recourse Function for the Two-Stage Stochastic Program
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Multicriteria Optimization of ABS Control Algorithms Using a Quasi-Monte Carlo Method
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Convergence of set-valued mappings: Equi-outer semicontinuity
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Convergence of Newton's method for convex best interpolation
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Stability analysis of stochastic programs with second order dominance constraints
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Asymptotic behavior of solutions: An application to stochastic NLP
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Epsilon-subdifferentiability for interval-valued functions and its application in interval optimization problems
inferred← citeshttps://doi.org/10.1016/s0167-6377(02)00187-6openalex-snapshot
An algorithm for approximating piecewise linear concave functions from sample gradients
inferred← citeshttps://doi.org/10.1016/s0927-0507(03)10008-4openalex-snapshot
Stability of Stochastic Programming Problems
inferred← citeshttps://doi.org/10.1023/a:1019258932012openalex-snapshot
Some Aspects of Stability in Stochastic Programming
inferred← citeshttps://doi.org/10.1023/a:1022122521816openalex-snapshot
An SQP-Type Method and Its Application in Stochastic Programs
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Convergence Analysis of Some Methods for Minimizing a Nonsmooth Convex Function
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Stochastic ultimate load analysis:models and solution methods
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MULTICRITERIA OPTIMIZATION OF ANTI-LOCK BRAKING SYSTEM CONTROL ALGORITHMS
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Trust Region Algorithms for Solving Nonsmooth Equations
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Stability Analysis of Two-Stage Stochastic Mathematical Programs with Complementarity Constraints via NLP Regularization
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A Numerical Method for Two‐Stage Stochastic Programs under Uncertainty
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Note on Adjustments to Analysts' Earnings Forecasts Based Upon Systematic Cross-Sectional Components of Prior-Period Errors
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Convergence of Subdifferentials Under Strong Stochastic Convexity
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Volumetric center method for stochastic convex programs using sampling
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