Lectures on Stochastic Programming - Modeling and Theory, Second Edition

Performance Modeling, Stochastic Networks, and Statistical Multiplexing, second edition

In what case do you like reading so much? What about the type of the performance modeling stochastic networks and statistical multiplexing second edition synthesis lectures on communication networks book? The needs to read? Well, everybody has their own reason why should read some books. Mostly, it will relate to their necessity to get knowledge from the book and want to read just to get entert...

LECTURES ON STOCHASTIC PROGRAMMING MODELING AND THEORY Alexander Shapiro

A New Method for Characterization of Biological Particles in Microscopic Videos: Hypothesis Testing Based on a Combination of Stochastic Modeling and Graph Theory

Introduction Studying motility of biological objects is an important parameter in many biomedical processes. Therefore, automated analyzing methods via microscopic videos are becoming an important step in recent researches. Materials and Methods In the proposed method of this article, a hypothesis testing function is defined to separate biological particles from artifact and noise in captured v...

Solving a Two-Period Cooperative Advertising Problem Using Dynamic Programming

Cooperative advertising is a cost-sharing mechanism in which a part of retailers' advertising investments are financed by the manufacturers. In recent years, investment among advertising options has become a difficult marketing issue. In this paper, the cooperative advertising problem with advertising options is investigated in a two-period horizon in which the market share in the second period...

Solving fuzzy stochastic multi-objective programming problems based on a fuzzy inequality

Probabilistic or stochastic programming is a framework for modeling optimization problems that involve uncertainty.In this paper, we focus on multi-objective linear programmingproblems in which the coefficients of constraints and the righthand side vector are fuzzy random variables. There are several methodsin the literature that convert this problem to a stochastic or<b...