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Simulated annealing. Simulated annealing can be used to solve combinatorial problems. Here it is applied to the travelling salesman problem to minimize the length of a route that connects all 125 points. Travelling salesman problem in 3D for 120 points solved with simulated annealing. Simulated annealing ( SA) is a probabilistic technique for ...
Constrained optimization. In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objective function with respect to some variables in the presence of constraints on those variables. The objective function is either a cost function or energy function, which is to ...
Epipolar constraint and triangulation. If the relative position of the two cameras is known, this leads to two important observations: Assume the projection point x L is known, and the epipolar line e R –x R is known and the point X projects into the right image, on a point x R which must lie on this particular epipolar line. This means that ...
Constraint satisfaction. In artificial intelligence and operations research, constraint satisfaction is the process of finding a solution through a set of constraints that impose conditions that the variables must satisfy. [1] A solution is therefore an assignment of values to the variables that satisfies all constraints—that is, a point in ...
More generally, modeling and simulation is a key enabler for systems engineering activities as the system representation in a computer readable (and possibly executable) model enables engineers to reproduce the system (or Systems of System) behavior. A collection of applicative modeling and simulation method to support systems engineering ...
A simulation is an imitative representation of a process or system that could exist in the real world. [1] [2] [3] In this broad sense, simulation can often be used interchangeably with model. [2] Sometimes a clear distinction between the two terms is made, in which simulations require the use of models; the model represents the key ...
Computer simulation is the process of mathematical modelling, performed on a computer, which is designed to predict the behaviour of, or the outcome of, a real-world or physical system. The reliability of some mathematical models can be determined by comparing their results to the real-world outcomes they aim to predict.
Large eddy simulation ( LES) is a mathematical model for turbulence used in computational fluid dynamics. It was initially proposed in 1963 by Joseph Smagorinsky to simulate atmospheric air currents, [1] and first explored by Deardorff (1970). [2] LES is currently applied in a wide variety of engineering applications, including combustion, [3 ...