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找到约 182 项符合「springer」的源代码

代码结果 182
www.eeworm.com/read/307266/3726455

c enciph.c

/* * Program to encipher text using Blum-Goldwasser Probabalistic * Public Key method * See "Modern Cryptology - a tutorial" by Gilles Brassard. * Published by Springer-Verlag, 1988
www.eeworm.com/read/393395/2474517

m rejectoutlier.m

function Rejected=RejectOutlier(Sample,Index); % this function finds the "worst" outlier in a time series. % See Sec. 4.6.1 of "Risk and Asset Allocation" - Springer (2005), by A. Meucci % for the
www.eeworm.com/read/393395/2474710

m s_wishartcopulasimul.m

% this script simulates the copula of the diagonal elements of a 2x2 Wishart distribution % see "Risk and Asset Allocation"-Springer (2005), by A. Meucci clear; close all; clc; %%%%%%%%%%%%%%
www.eeworm.com/read/393395/2474713

m s_kendalltau.m

% this script simulates and computes analytically Kendall's tau % for a log-normal distribution % see "Risk and Asset Allocation"-Springer (2005), by A. Meucci close all; clc; clear; %%%%%%%%
www.eeworm.com/read/393395/2474729

m uniformellipticalpdf.m

function f = UniformEllipticalPDF(x,Mu,Sigma) % this function computes the pdf of the N-variate % uniform distribution on an ellipsoid % see "Risk and Asset Allocation"-Springer (2005), by A. Meuc
www.eeworm.com/read/100612/15868963

c enciph.c

/* * Program to encipher text using Blum-Goldwasser Probabalistic * Public Key method * See "Modern Cryptology - a tutorial" by Gilles Brassard. * Published by Springer-Verlag, 1988
www.eeworm.com/read/100612/15869024

cpp enciph.cpp

/* * Program to encipher text using Blum-Goldwasser Probabalistic * Public Key method * See "Modern Cryptology - a tutorial" by Gilles Brassard. * Published by Springer-Verlag, 1988
www.eeworm.com/read/393395/2474514

m s_highbreakdownmve.m

% this script shows how to use the minimum volume ellipsoid to detect outliers. % See Sec. 4.6.1 of "Risk and Asset Allocation" - Springer (2005), by A. Meucci % for the theory and the routine impl
www.eeworm.com/read/393395/2474718

m lognormalpdf.m

function f = LognormalPDF(x,Mu,Sigma) % this function computes the pdf of the N-variate lognormal distribution % see "Risk and Asset Allocation"-Springer (2005), by A. Meucci % formula (2.218)
www.eeworm.com/read/277084/10670233

cpp nl_ex.cpp

// This is an example of a non-linear least squares fit. The example // is from "Nonlinear estimation" by Gavin Ross (Springer,1990), p 63. // There are better ways of doing the fit in this case so