In this paper, the synchronizability problem of dynamical networks isaddressed, where better synchronizability means that the network synchronizesfaster with lower-overshoot. The L2 norm of the error vector e is taken as aperformance index to measure this kind of synchronizability. For theequilibrium ...
Complex32 eta =0;floattheta =0;// Initializevartau = input.L2Norm().Real; Complex32 rho = tau*tau;// Calculate the initial values for v// M temp = yEven_preconditioner.Approximate(yeven, temp);// v = A tempmatrix.Multiply(temp, v);// Set uOddv.CopyTo(ueven);// Start the it...
Mathematically a norm is a total size or length of all vectors in a vector space or matrices. For simplicity, we can say that the higher the norm is, the bigger the (value in) matrix or vector is. Norm may come in many forms and many names, including these popular name:Euclidean dist...
M and a holomorphic vector bundle E 鈫 M , for any L 2 holomorphic section f defined on some open neighborhood U of S, find an L 2 holomorphic section F on M such that F | S = f | S , and the L 2 norm of F on M is optimally controlled by the L 2 norm of f on U....
l2,1-norm regularization constraint is applied on transformation matrix under framework of negative label relaxation linear regression to perform feature selection so that features can be selected more flexibly to fit sample. (3) An iterative algorithm named NLRL21-FS is devised for solving the propo...
Mathematically a norm is a total size or length of all vectors in a vector space or matrices. For simplicity, we can say that the higher the norm is, the bigger the (value in) matrix or vector is. Norm may come in many forms and many names, including these popular name:Euclidean dist...
{ . . } public static void ShowVector(double[] vector, int decimals, int lineLen, bool newLine) { . . } } public class LogisticClassifier { private int numFeatures; private double[] weights; private Random rnd; public LogisticClassifier(int numFeatures) { . . } publ...
Background:Thispaperintroducesthenotionofoptimizingdifferentnormsinthedualproblemofsupport vectormachineswithmultiplekernels.Theselectionofnormsyieldsdifferentextensionsofmultiplekernel learning(MKL)suchasL ∞ ,L 1 ,andL 2 MKL.Inparticular,L 2 MKLisanovelmethodthatleadstonon-sparseoptimal ...
Let |·| denote the Euclidean norm of a vector and its induced norm of a matrix. Unless explicitly specified, matrices are assumed to have real entries and compatible dimensions. L2(Ω) denotes the space of all random variables X with E|X|2<∞, it is a Banach space with norm ∥X∥2...
The Belfry OpenScad Library, v2.0. An OpenSCAD library of shapes, masks, and manipulators to make working with OpenSCAD easier. BETA - BOSL2/vnf.scad at master · BelfrySCAD/BOSL2