Modeling and Computer Simulation (TOMACS)


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ACM Transactions on Modeling and Computer Simulation (TOMACS), Volume 4 Issue 1, Jan. 1994

A logic-based foundation of discrete event modeling and simulation
Ashvin Radiya, Robert G. Sargent
Pages: 3-51
DOI: 10.1145/174619.174620
A logic-based foundation of discrete event modeling and simulation is presented by defining (1) its fundamental concepts and terms from a perspective commonly held by logicians, (2) a modal Discrete Event Logic...

A characterization of the simple failure-biasing method for simulations of highly reliable Markovian Systems
Marvin K. Nakayama
Pages: 52-88
DOI: 10.1145/174619.174621
Simple failure biasing is an importance-sampling technique used to reduce the variance of estimates of performance measures and their gradients in simulations of highly reliable Markovian systems. Although simple failure biasing yields bounded...

On the statistical independence of nonlinear congruential pseudorandom numbers
Jürgen Eichenauer-Herrmann, Harald Niederreiter
Pages: 89-95
DOI: 10.1145/174619.174622
Recently, several nonlinear congruential methods for generating uniform pseudorandom numbers have been proposed and analysed. In the present note, further statistical independence properties of a general class of nonlinear congruential...

A note on the quality of random variates generated by the ratio of uniforms method
Wolfgang Hörmann
Pages: 96-106
DOI: 10.1145/174619.174623
The one-dimensional distribution of pseudorandom numbers generated by the ratio of uniforms method using linear congruential generators (LCGs) as the source of uniform random number is investigated in this note. Due to the two-dimensional...

Evaluating models of memory allocation
Benjamin Zorn, Dirk Grunwald
Pages: 107-131
DOI: 10.1145/174619.174624
Because dynamic memory management is an important part of a large class of computer programs, high-performance algorithms for dynamic memory management have been and will continue to be of considerable interest. The goal of this research is to...