𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Dual nature of events in discrete simulation

✍ Scribed by A. Jávor

Publisher
Elsevier Science
Year
1983
Tongue
English
Weight
319 KB
Volume
25
Category
Article
ISSN
0378-4754

No coin nor oath required. For personal study only.

✦ Synopsis

for Physm of the Hungarian Acdeng of Soencrr. Budupest

📜 SIMILAR VOLUMES

JTED: parallel discrete-event simulation
JTED: parallel discrete-event simulation in Java
✍ Cowie, James 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 54 KB 👁 3 views

A useful discrete-event simulation environment should support component-level reuse, integration of graphical tools, and scalable performance. The JTED framework (http://www.cooperate.com/JTED) demonstrates that Java can serve as the basis for constructing very large models that achieve these goals.

Discrete event simulation in C with DISC
Discrete event simulation in C with DISC
✍ Sathyakumar Selvaraj; Eric L. Blair; Milton L. Smith; William M. Marcy 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 822 KB
Multiple use of random numbers in discre
Multiple use of random numbers in discrete-event simulation
✍ Thomas Kämpke 📂 Article 📅 1989 🏛 Elsevier Science 🌐 English ⚖ 444 KB

A method is presented for using a single (0,l) uniform random number to yield stochastically independent random numbers having a given finite distribution. The adaption of the alias method to the given procedure is outlined. An application to simulate Brownian motion is given.

Quantization-based filtering in distribu
Quantization-based filtering in distributed discrete event simulation
✍ Bernard P Zeigler; Hyup J Cho; Jeong G Kim; Hessam S Sarjoughian; Jong.S Lee 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 597 KB

Quantization is an approach to distributed logical simulation in which the value space is quantized and trajectories are represented by the crossings of a set of thresholds. This is an alternative to the common approach which discretizes the time base of a continuous trajectory to obtain a finite nu