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updated 11 months ago

dijsktra path finder by Sebastien PARIS

Mex implementation of the dijkstra algorithm (optimization, dijsktra, adjacency matrix)



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updated almost 2 years ago

Nadaraya-Watson smoothing by Jan Motl

A non-parametrical regression (smoothing) tool using Gaussian kernel. (regression, smoothing, smooth)

[smoothed score h]=smoothing(ydata,varargin)

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updated almost 2 years ago

minimization of a function by random iterative search by yoash levron

Optimization method: Locates a minimum of a target function. Converges to global optimum. (optimization, minimization, optimal)

b =min_by_random_search_test_func(v)

b =min_by_random_search_test_func2(v)

min_by_random_search( fnc, region )

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updated almost 3 years ago

Hunt For Local Maxima, Minima, Plateau by Michael Chan

Illustrates identification of local maxima, minima or plateau, for exit criteria for long processes. (bioinformatics, image processing, intensive)

benchmarkSampleFunction (thresholdInitial_Trial)


determineProclivity( currentInput, previousInput )

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updated 5 years ago

Maximum Likelihood equalization for STBC-MIMO systems by Choqueuse Vincent

Perform Maximum Likelihood equalization for MIMO Systems using Space time block code. (communication, decoding, equalisation)




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updated 5 years ago

LqrSim by Giampiero Campa

Algebraic Riccati Equation solution in Simulink via C+Fortran (simulink, riccati, are)




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updated 7 years ago

K-Omega / A-Star Multi robot follow the leader (implemented in Sim and NXT) by Emad Hasan

Resource bounding pathfinding method (KOmega) implemented using A Star Algorithm for multiple agents (optimization, lego, nxt)




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updated 8 years ago

Least-Squares optimal affine subspace by Ofek Shilon

Computes the affine subspace (eg, line, plane) that optimally fits the input data (approximation, interpolation, least)

lsqAffineSpace(V, SpaceDim,varargin)



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updated 10 years ago

Optplot by Jim Ward

Gives a nearly optimal set of points [x y] for a plot of y = f(x) with uniform specified accuracy. (specialized, plotting, optimal)



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updated almost 17 years ago

synthesis by Evgeny Veremey

Solves SISO mean-square optimal control design problems: A(p)x = B(p)u + f(t) (siso, meansquare, optimal)




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updated 17 years ago

doflq.m by Leonardo Kammer

Designed to compute a Linear Quadratic optimal output feeback controller for discrete-time systems. (linear, quadratic, optimal)

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