About the Book
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 65. Chapters: Monte Carlo method, Collision detection, Finite-difference time-domain method, Time-evolving block decimation, Biology Monte Carlo method, Lattice Boltzmann methods, Constraint algorithm, Numerical relativity, Wildfire modeling, Particle-in-cell, Time-dependent density functional theory, Ray tracing, Transmission line matrix method, Discontinuous Deformation Analysis, Dynamical simulation, Cell lists, Lattice gas automaton, Pseudopotential, Parallel-TEBD, Inverse kinematics, Projection method, Multiscale modeling, Multi-particle collision dynamics, Self-avoiding walk, Event generator, Line-plane intersection, Bond order potential, Simplified Perturbations models, Demon algorithm, Multiphysics, Multiphysics Methods Group, Gyrokinetic ElectroMagnetic, Sweep and prune, VEGAS algorithm, Decorrelation, P3M, SPEED2000, Elmer FEM solver, Atomistix ToolKit, Monte Carlo project, CompHEP, Particle Mesh, Les Houches Accords, Vienna Ab-initio Simulation Package, Forward kinematics, Car-Parrinello Molecular Dynamics, SIMPLE algorithm, Daan Frenkel, CFD-DEM, Featherstone's algorithm, WRF-Fire, Aneesur Rahman Prize for Computational Physics, Kinematic chain, ALEGRA, Joint constraints, Navigation mesh, Physics of computation, Softening, PYTHIA, Armature. Excerpt: Finite-difference time-domain (FDTD) is a popular computational electrodynamics modeling technique. It is considered easy to understand and easy to implement in software. Since it is a time-domain method, solutions can cover a wide frequency range with a single simulation run. The FDTD method belongs in the general class of grid-based differential time-domain numerical modeling methods. The time-dependent Maxwell's equations (in partial differential form) are discretized using central-difference approximations to the space and time partial derivatives. The resulting finite...
