Amanote Research

Amanote Research

  • Register
  • Sign In

An Approximation Scheme for Stochastic Linear Programming and Its Application to Stochastic Integer Programs

Journal of the ACM- United States

doi 10.1145/1217856.1217860

Full Text

Abstract

Available in

Categories

ControlSystems EngineeringInformation SystemsHardwareArchitectureArtificial IntelligenceSoftware

Date

November 1, 2006

Authors

David B. ShmoysChaitanya Swamy

Publisher

Association for Computing Machinery (ACM)


Related search

Solving Chance-Constrained Stochastic Programs via Sampling and Integer Programming

2008English

Stochastic Linear Programming

2005English

Polynomial Approximation Method for Stochastic Programming.

English

Stochastic Non-Linear Programming

Journal of the Australian Mathematical Society
1964English

A Study an Analysis of Stochastic Linear Programming

2000English

On Piecewise Linear Approximation for Non-Linear Stochastic Evolution

Теория вероятностей и ее применения
1998English

A Stochastic Mixed Integer Linear Programming Formulation for the Balancing Energy Activation Problem Under Uncertainty

2017English

An Alternating Method for Stochastic Linear Programming With Simple Recourse

Stochastic Programming 84 Part I
1986English

An Approximation Scheme for a Class of Risk-Averse Stochastic Equilibrium Problems

Mathematical Programming, Series B
MathematicsSoftware
2016English

Amanote Research

Note-taking for researchers

Follow Amanote


© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy