Julia L. Higle

According to our database, Julia L. Higle authored at least 26 papers between 1990 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

A systematic approach for examining the impact of calibration uncertainty in disease modeling.

Jing Voon Chen, Julia L. Higle, Michael Hintlian

Comput. Manag. Sci., 2018

2012

Adaptive and nonadaptive approaches to statistically based methods for solving stochastic linear programs: a computational investigation.

Julia L. Higle, Lei Zhao

Comput. Optim. Appl., 2012

2010

Preface.

Suvrajeet Sen, Julia L. Higle

Ann. Oper. Res., 2010

2009

Stabilization of Cutting Plane Algorithms for Stochastic Linear Programming Problems.

Suvrajeet Sen, Julia L. Higle

Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Stochastic Linear Programming: Decomposition and Cutting Planes.

Julia L. Higle, Suvrajeet Sen

Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

2006

Multistage stochastic convex programs: Duality and its implications.

Julia L. Higle, Suvrajeet Sen

Ann. Oper. Res., 2006

2005

The C³ Theorem and a D² Algorithm for Large Scale Stochastic Mixed-Integer Programming: Set Convexification.

Suvrajeet Sen, Julia L. Higle

Math. Program., 2005

16. A Stochastic Programming Model for Network Resource Utilization in the Presence of Multiclass Demand Uncertainty.

Julia L. Higle, Suvrajeet Sen

Proceedings of the Applications of Stochastic Programming, 2005

2003

Sensitivity Analysis and Uncertainty in Linear Programming.

Julia L. Higle, Stein W. Wallace

Interfaces, 2003

Introduction.

Julia L. Higle, Suvrajeet Sen

Comput. Optim. Appl., 2003

2000

Duality Gaps in Stochastic Integer Programming.

Suvrajeet Sen, Julia L. Higle, John R. Birge

J. Glob. Optim., 2000

1999

An Introductory Tutorial on Stochastic Linear Programming Models.

Suvrajeet Sen, Julia L. Higle

Interfaces, 1999

Statistical approximations forstochastic linear programming problems.

Julia L. Higle, Suvrajeet Sen

Ann. Oper. Res., 1999

Algorithmic Implications of Duality in Stochastic Programs.

Julia L. Higle, Suvrajeet Sen

Proceedings of the System Modelling and Optimization: Methods, 1999

1998

Variance Reduction and Objective Function Evaluation in Stochastic Linear Programs.

Julia L. Higle

INFORMS J. Comput., 1998

1996

Duality and statistical tests of optimality for two stage stochastic programs.

Julia L. Higle, Suvrajeet Sen

Math. Program., 1996

Preface.

Stein W. Wallace, Julia L. Higle, Suvrajeet Sen

Ann. Oper. Res., 1996

1995

Statistical approximations for recourse constrained stochastic programs.

Julia L. Higle, Suvrajeet Sen

Ann. Oper. Res., 1995

1994

Finite master programs in regularized stochastic decomposition.

Julia L. Higle, Suvrajeet Sen

Math. Program., 1994

Inexact subgradient methods with applications in stochastic programming.

Kelly T. Au, Julia L. Higle, Suvrajeet Sen

Math. Program., 1994

Conditional Stochastic Decomposition: An Algorithmic Interface for Optimization and Simulation.

Julia L. Higle, Wing W. Lowe, Ronald Odio

Oper. Res., 1994

1992

On the Convergence of Algorithms with Implications for Stochastic and Nondifferentiable Optimization.

Julia L. Higle, Suvrajeet Sen

Math. Oper. Res., 1992

Capacity Expansion Under Stochastic Demands.

James C. Bean, Julia L. Higle, Robert L. Smith

Oper. Res., 1992

1991

Stochastic Decomposition: An Algorithm for Two-Stage Linear Programs with Recourse.

Julia L. Higle, Suvrajeet Sen

Math. Oper. Res., 1991

Statistical verification of optimality conditions for stochastic programs with recourse.

Julia L. Higle, Suvrajeet Sen

Ann. Oper. Res., 1991

1990

Deterministic Equivalence in Stochastic Infinite Horizon Problems.

Julia L. Higle, James C. Bean, Robert L. Smith

Math. Oper. Res., 1990