✦ LIBER ✦

Characterizing stochastic flow networks using the monte carlo method

✍ Scribed by Christos Alexopoulos; George S. Fishman

Publisher: John Wiley and Sons
Year: 1991
Tongue: English
Weight: 971 KB
Volume: 21
Category: Article
ISSN: 0028-3045
DOI: 10.1002/net.3230210706

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Neural network support of the Monte Carl

Neural network support of the Monte Carlo method

✍ L. Kul̵ak; K. Sienicki; C. Bojarski 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 339 KB

We have presented a neural network forecasting of the Monte Carlo solution of the master equation. Using the back-propagation neural network we have shown that for a limited number of Monte Carlo simulations one can forecast approximate solutions for an infinite number of molecules participating in

Successful Combination Of The Stochastic

Successful Combination Of The Stochastic Linearization And Monte Carlo Methods

✍ I. Elishakoff; P. Colombi 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 172 KB

A new importance sampling Monte Carlo me

A new importance sampling Monte Carlo method for a flow network reliability problem

✍ Stéphane Bulteau; Mohamed El Khadiri 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 250 KB 👁 1 views

Robust and efficient methods for stochas

Robust and efficient methods for stochastic finite element analysis using Monte Carlo simulation

✍ Manolis Papadrakakis; Vissarion Papadopoulos 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 651 KB

Evaluate Fuzzy Riemann Integrals Using t

Evaluate Fuzzy Riemann Integrals Using the Monte Carlo Method

✍ Hsien-Chung Wu 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 140 KB

Solution of integral equations of the se

Solution of integral equations of the second kind with a stochastic kernel using the Monte-Carlo method

✍ V.S. Antyufeyev 📂 Article 📅 1986 🏛 Elsevier Science ⚖ 265 KB