Linux temps réel embarqué et outils de développements Technique


liblip-dev reliable interpolation of multivariate scattered data
Installed size 272
Maintainer Juan Esteban Monsalve Tobon <esteban@v7w.com>
Architecture i386
Version 2.0.0-1
Depends libc6 (>= 2.3.6-6), libgcc1 (>= 1
Suggests ri1.8
File name pool/main/libl/liblip/liblip-dev_2.0.0-1_i386.deb
Description Lip interpolates scattered multivariate data with a Lipschitz function. . Methods of interpolation of multivariate scattered data are scarce. The programming library Lip implements a new method by G. Beliakov, which relies on building reliable lower and upper approximations of Lipschitz functions. If we assume that the function that we want to interpolate is Lipschitz-continuous, we can provide tight bounds on its values at any point, in the worse case scenario. Thus we obtain the interpolant, which approximates the unknown Lipschitz function f best in the worst case scenario. This translates into reliable learning of f, something that other methods cannot do (the error of approximation of most other methods can be infinitely large, depending on what f generated the data). . Lipschitz condition implies that the rate of change of the function is bounded: . |f(x)-f(y)|http://www.deakin.edu.au/~gleb/lip.html

©M.N.I.S Société | Produits | Services | Formations | Support | Partenariat | Presse | Téléchargements ©M.N.I.S