Monte Carlo methods. Vol. 1: basics
Monte Carlo methods. Vol. 1: basics
Efficient parallel simulations of dynamic Ising spin systems
Journal of Computational Physics
Computer simulation of liquids
Computer simulation of liquids
Computer simulation of liquids
Computer simulation of liquids
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Synchronous relaxation for parallel simulations with applications to circuit-switched networks
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Parallelization of a dynamic Monte Carlo algorithm: a partially rejection-free conservative approach
Journal of Computational Physics
Synchronous relaxation for parallel Ising spin simulations
Proceedings of the fifteenth workshop on Parallel and distributed simulation
A Guide to Monte Carlo Simulations in Statistical Physics
A Guide to Monte Carlo Simulations in Statistical Physics
Hybrid asynchronous algorithm for parallel kinetic Monte Carlo simulations of thin film growth
Journal of Computational Physics
Distributed Simulation: A Case Study in Design and Verification of Distributed Programs
IEEE Transactions on Software Engineering
Efficient algorithms for parallelizing Monte Carlo simulations for 2D Ising spin models
The Journal of Supercomputing
Statistical analysis of hold time violations
Journal of Computational Electronics
| Hi-index | 0.00 |
Since 1953, researchers have applied the Monte Carlo method to a wide range of areas. Specialized algorithms have also been developed to extend the method's applicability and efficiency. The author describes some of the algorithms that have been developed to perform Monte Carlo simulations in science and engineering.