James V. Leonard – författare

The second part of a yearly series on simulation technology, OBJECT-ORIENTED SIMULATION presents an outstanding variety of the very latest advances in simulation techniques. This leading-edge volume contains a cohesive selection of presentations written by the world-renowned experts in a broad range of topics. OBJECT-ORIENTED SIMULATION is a key resource for anyone involved in computer simulator research and design as well as developers, producers, scholars, and managers. It is an excellent tool for preparing proposals for simulation in commercial and military fields.

Simulation Systems expolres a wide spectrum of topics including simulation software, logic simulation, query-driven simulation, multi-computer simulation and manufacturing simulation. Although such papers are presented in Journals and conference proceedings it is difficult to find a single source where the foremost papers are presented. Contributio

Simulation Systems expolres a wide spectrum of topics including simulation software, logic simulation, query-driven simulation, multi-computer simulation and manufacturing simulation. Although such papers are presented in Journals and conference proceedings it is difficult to find a single source where the foremost papers are presented. Contributio

Simulation Systems expolres a wide spectrum of topics including simulation software, logic simulation, query-driven simulation, multi-computer simulation and manufacturing simulation. Although such papers are presented in Journals and conference proceedings it is difficult to find a single source where the foremost papers are presented. Contributions in Simulation Systms are freom leading researchers and practioners which explore a wide spectrum of topics. The chapters include topics such as presentation of SIMULA/OBJECTR, which is a query driven simulation support environment and a method of translating automatically digital logic equations so that they may be simulated using VHDL. This is followed by simulation techniques for deterministic and statistical circuit design optimization. A mathematical model of a magnetic resonance imaging system is simulated so that one can better understand the imaging system.

Contributions from researchers and practitioners explore a spectrum of topics, including simulation software, parallel simulation techniques, knowledge-based simulations, simulation of neural nets, object-orientated simulation reuse of simulation models, and applications of simulation in areas such as architecture, manufacturing, LANs and others. These volumes are intended for a wide audience - those professionally involved in simulation research and applications, scholars and technical managers.