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Web Easy JavaScript Simulation , Easy JavaScript Simulations (EJSS), formerly known as Easy Java Simulations (EJS), is an open-source software tool, part of the Open Source Physics project, designed to create discrete computer simulations. A discrete computer simulation, or simply a computer simulation, is a computer program that tries to ...
A minimum spanning tree of a weighted planar graph.Finding a minimum spanning tree is a common problem involving combinatorial optimization. Combinatorial optimization is a subfield of mathematical optimization that consists of finding an optimal object from a finite set of objects, [1] where the set of feasible solutions is discrete or can be reduced to a discrete set.
Big O notation is a mathematical notation that describes the limiting behavior of a function when the argument tends towards a particular value or infinity. Big O is a member of a family of notations invented by German mathematicians Paul Bachmann, [1] Edmund Landau, [2] and others, collectively called Bachmann–Landau notation or asymptotic notation.
Free or open-source. Advanced Simulation Library - open-source hardware accelerated multiphysics simulation software. ASCEND - open-source equation-based modelling environment. Cantera - chemical kinetics package. Celestia - a 3D astronomy program. CP2K - Open-source ab-initio molecular dynamics program.
The approximation of a normal distribution with a Monte Carlo method. Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle.
Collision detection is the computational problem of detecting an intersection of two or more spatial objects, commonly computer graphics objects. It has applications in various computing fields, primarily in computer graphics, computer games, computer simulations, robotics and computational physics. Collision detection is a classic problem of ...
Linear programming problems are the simplest convex programs. In LP, the objective and constraint functions are all linear. Quadratic programming are the next-simplest. In QP, the constraints are all linear, but the objective may be a convex quadratic function. Second order cone programming are more general. Semidefinite programming are more ...
change in a variable (e.g. ) unitless Laplace operator: per square meter (m −2) displacement (usually small) meter (m) Dirac delta function: Kronecker delta (e.g ) epsilon: permittivity: farad per meter (F/m) strain: unitless