代码搜索：binomial
找到约 467 项符合「binomial」的源代码
代码结果 467
www.eeworm.com/read/119864/6081740
c bdtrl.c
/* bdtrl.c
*
* Binomial distribution
*
*
*
* SYNOPSIS:
*
* int k, n;
* long double p, y, bdtrl();
*
* y = bdtrl( k, n, p );
*
*
*
* DESCRIPTION:
*
* Returns the sum of the terms
www.eeworm.com/read/259565/11782361
m binsmooth.m
function avin=binsmooth(in,dist)
% Function computes a binomial-weighted average over "dist" samples of the
% columns of matrix "in". "dist" must be greater than or equal to 1 and should
% be an odd
www.eeworm.com/read/151143/12232859
m binsmooth.m
function avin=binsmooth(in,dist)
% Function computes a binomial-weighted average over "dist" samples of
% matrix "in". "dist" must be greater than or equal to 1 and should be
% an odd integer
%
www.eeworm.com/read/125476/14491760
cc bin_eur_put.cc
// file bin_eur_call.cc
// author: Bernt A Oedegaard
// calculate the binomial option pricing formula for an european put
#include // standard mathematical library
#include
www.eeworm.com/read/125476/14491836
cc bin_am_put_payout.cc
// file bin_am_put.cc
// author: Bernt A Oedegaard
// calculate the binomial option pricing formula for an American put
#include // standard mathematical library
#include
www.eeworm.com/read/125476/14491846
cc bin_am_put.cc
// file bin_am_put.cc
// author: Bernt A Oedegaard
// calculate the binomial option pricing formula for an American put
#include // standard mathematical library
#include
www.eeworm.com/read/210914/4946870
m binsmooth.m
function avin=binsmooth(in,dist)
% Function computes a binomial-weighted average over "dist" samples of
% matrix "in". "dist" must be greater than or equal to 1 and should be
% an odd integer
%
www.eeworm.com/read/371704/2779184
m binsmooth.m
function avin=binsmooth(in,dist)
% Function computes a binomial-weighted average over "dist" samples of
% matrix "in". "dist" must be greater than or equal to 1 and should be
% an odd integer
%
www.eeworm.com/read/174160/9605640
m simbinom.m
function [sample] = simbinom(npoints, n, p)
% SIMBINOM random numbers from binomial distribution
%
% [sample] = simbinom(npoints, n, p)
%
% Inputs: npoints - sample size
% n - parameter
www.eeworm.com/read/100333/15876939
st visitor.st
Class SimulationObject :Object
| sizeDist waitDist |
[
init
sizeDist