Quirino Paris, Multiple Optimal Solutions in Linear Programming Models: Reply, American Journal of Agricultural Economics, Vol. 65, No. 1 (Feb., 1983), pp. 184-186 ...

Archis Ghate, Robert L. Smith, A Linear Programming Approach to Nonstationary Infinite-Horizon Markov Decision Processes, Operations Research, Vol. 61, No. 2 (March-April 2013), pp. 413-425 ...

Linear programming is a mathematical approach designed to optimize processes within certain restrictions. Its primary goal is to either increase or decrease a numerical value to its utmost extent.

We study the linear-quadratic (LQ) risk-sensitive optimal control problem for mean-field type stochastic differential equations (MF-SDEs) driven by Brownian motion. The expected values of state and ...

Stable Matchings, Optimal Assignments, and Linear Programming By: A. E. Roth, U. G. Rothblum and J. H. Vande Vate Format: Print | Pages: 26 ...

We propose a Model Predictive Control (MPC) with a single-step prediction horizon to approximate the solution of infinite horizon optimal control problems with the expected sum of convex stage costs ...

CBSE Class 12 Mathematics Chapter 12 Linear Programming Revision Notes: The 2024 board exams are here, and it is time to lay down the books and start revising the topics.