Julia L. Higle - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 24 from 24

2018

A systematic approach for examining the impact of calibration uncertainty in disease modelingJing Voon Chen, Julia L. Higle, Michael Hintlian. cms, 15(3-4):541-561, 2018. [doi]

2012

Adaptive and nonadaptive approaches to statistically based methods for solving stochastic linear programs: a computational investigationJulia L. Higle, Lei Zhao. coap, 51(2):509-532, 2012. [doi]

2010

PrefaceSuvrajeet Sen, Julia L. Higle. anor, 177(1):1-2, 2010. [doi]

2006

Multistage stochastic convex programs: Duality and its implicationsJulia L. Higle, Suvrajeet Sen. anor, 142(1):129-146, 2006. [doi]

2005

16. A Stochastic Programming Model for Network Resource Utilization in the Presence of Multiclass Demand UncertaintyJulia L. Higle, Suvrajeet Sen. In Stein W. Wallace, William T. Ziemba, editors, Applications of Stochastic Programming. pages 299-313, SIAM, 2005. [doi]

The C:::3::: Theorem and a D:::2::: Algorithm for Large Scale Stochastic Mixed-Integer Programming: Set ConvexificationSuvrajeet Sen, Julia L. Higle. mp, 104(1):1-20, 2005. [doi]

2003

Sensitivity Analysis and Uncertainty in Linear ProgrammingJulia L. Higle, Stein W. Wallace. interfaces, 33(4):53-60, 2003. [doi]

IntroductionJulia L. Higle, Suvrajeet Sen. coap, 24(2-3):167, 2003. [doi]

2000

Duality Gaps in Stochastic Integer ProgrammingSuvrajeet Sen, Julia L. Higle, John R. Birge. jgo, 18(2):189-194, 2000. [doi]

1999

Statistical approximations forstochastic linear programming problemsJulia L. Higle, Suvrajeet Sen. anor, 85:173-193, 1999. [doi]

Algorithmic Implications of Duality in Stochastic ProgramsJulia L. Higle, Suvrajeet Sen. ifip7 2000: 179-188

An Introductory Tutorial on Stochastic Linear Programming ModelsSuvrajeet Sen, Julia L. Higle. interfaces, 29(2):33-61, 1999. [doi]

1998

Variance Reduction and Objective Function Evaluation in Stochastic Linear ProgramsJulia L. Higle. informs, 10(2):236-247, 1998. [doi]

1996

Duality and statistical tests of optimality for two stage stochastic programsJulia L. Higle, Suvrajeet Sen. mp, 75:257-275, 1996.

PrefaceStein W. Wallace, Julia L. Higle, Suvrajeet Sen. anor, 64(1), 1996. [doi]

1995

Statistical approximations for recourse constrained stochastic programsJulia L. Higle, Suvrajeet Sen. anor, 56(1):157-175, 1995. [doi]

1994

Inexact subgradient methods with applications in stochastic programmingKelly T. Au, Julia L. Higle, Suvrajeet Sen. mp, 63:65-82, 1994.

Conditional Stochastic Decomposition: An Algorithmic Interface for Optimization and SimulationJulia L. Higle, Wing W. Lowe, Ronald Odio. ior, 42(2):311-322, 1994. [doi]

Finite master programs in regularized stochastic decompositionJulia L. Higle, Suvrajeet Sen. mp, 67:143-168, 1994.

1992

Capacity Expansion Under Stochastic DemandsJames C. Bean, Julia L. Higle, Robert L. Smith. ior, 40(Supplement-2), 1992. [doi]

On the Convergence of Algorithms with Implications for Stochastic and Nondifferentiable OptimizationJulia L. Higle, Suvrajeet Sen. mor, 17(1):112-131, 1992. [doi]

1991

Statistical verification of optimality conditions for stochastic programs with recourseJulia L. Higle, Suvrajeet Sen. anor, 30(1):215-239, 1991. [doi]

Stochastic Decomposition: An Algorithm for Two-Stage Linear Programs with RecourseJulia L. Higle, Suvrajeet Sen. mor, 16(3):650-669, 1991. [doi]

1990

Deterministic Equivalence in Stochastic Infinite Horizon ProblemsJulia L. Higle, James C. Bean, Robert L. Smith. mor, 15(3):396-407, 1990. [doi]

Sign in or sign up to see more results.

runs on WebDSL