Next:
6. Simulation and Statistical
Up:
Introduction to Computational Physics
Previous:
5.3.4 Cyclic Reduction (CR)
Have you noticed the updated version of this tutorial?
See here
III. SELECTED APPLICATIONS
COMPUTATIONAL HYDRODYNAMICS
Subsections
6. Simulation and Statistical Mechanics
6.1 Model Systems of Statistical Mechanics
6.1.1 Fluids and solids in a nutshell
6.1.2 Technical Matters
6.2 Monte Carlo Method
6.3 Molecular Dynamics Simulation
6.3.1 Hard Spheres / Hard disks
6.3.2 Continuous Potentials
6.3.3 Beyond Basic Molecular Dynamics
6.4 Evaluation of Simulation Experiments
6.4.1 Pair Correlation Function
6.4.2 Autocorrelation Functions
6.5 Particles and Fields
6.5.1 Ewald summation
6.5.2 Particle-Mesh Methods (PM and P3M):
6.6 Stochastic Dynamics
7. Quantum Mechanical Simulation
7.1 Diffusion Monte Carlo (DMC)
7.2 Path Integral Monte Carlo (PIMC)
7.3 Wave Packet Dynamics (WPD)
7.4 Density Functional Molecular Dynamics (DFMD)
8. Hydrodynamics
8.1 Compressible Flow without Viscosity
8.1.1 Explicit Eulerian Methods
8.1.2 Particle-in-Cell Method (PIC)
8.1.3 Smoothed Particle Hydrodynamics (SPH)
8.2 Incompressible Flow with Viscosity
8.2.1 Vorticity Method
8.2.2 Pressure Method
8.2.3 Free Surfaces: Marker-and-Cell Method (MAC)
8.3 Lattice Gas Models for Hydrodynamics
8.3.1 Lattice Gas Cellular Automata
8.3.2 The Lattice Boltzmann Method
8.4 Direct Simulation Monte Carlo / Bird method
Appendix
Franz J. Vesely Oct 2005
See also:
"Computational Physics - An Introduction," Kluwer-Plenum 2001
