Many time-varying phenomena of various fields in science and engineering can be modeled as a stochastic differential equations, so investigation of conditions for existence of solution and obtain the analytical and numerical solutions of them are important. In this paper, the Adomian decomposition method for solution of the stochastic differential equations are improved.  Uniqueness and converg...

Synopsis Water quantity and quality are considered to be the main driving forces the reservoir operation. Barra Bonita reservoir, located in the southeast region of Brazil, is chosen as the case study for the application of the proposed methodology. Herein, optimization and artificial intelligence (AI) techniques are applied in the simulation and operation of the reservoir. A fuzzy stochastic d...

patients and methods fifty nine patients with indication for carpal tunnel release randomly assigned into two groups: open (n=30) or knifelight (n=29). the patients compared regarding scar length, operation duration, time to return to daily activities and amount of pain at three weeks after operation based on visual analog scale. results there was no significant differences regarding age and se...

In “Dynamic Stochastic Matching Under Limited Time,” Aouad and Sar?taç analyze the design of matching policies in dynamic markets such as carpooling platforms kidney exchange schemes. A crucial distinction with previous literature is that agents’ arrivals departures are fully dynamic. The demand supply side constantly replenished; each market participant remains available for potential matches ...

Congestion management in electricity markets is traditionally done using deterministic values of power system parameters considering a fixed network configuration. In this paper, a stochastic programming framework is proposed for congestion management considering the power system uncertainties. The uncertainty sources that are modeled in the proposed stochastic framework consist of contingencie...