代码搜索：finding
找到约 1,199 项符合「finding」的源代码
代码结果 1,199
www.eeworm.com/read/123117/6063310
java playerlistener.java
package bingo.shared;
// implement this interface if you are interested
// in finding out when new players register for a
// game
public interface PlayerListener extends Listener {
public void up
www.eeworm.com/read/106928/6191029
java playerlistener.java
package bingo.shared;
// implement this interface if you are interested
// in finding out when new players register for a
// game
public interface PlayerListener extends Listener {
public void up
www.eeworm.com/read/105659/6197520
java playerlistener.java
package bingo.shared;
// implement this interface if you are interested
// in finding out when new players register for a
// game
public interface PlayerListener extends Listener {
public void up
www.eeworm.com/read/100601/6267396
txt sqrt.txt
Square Root
A simple iterative algorithm is used to compute the greatest integer
less than or equal to the square root. Essentially, this is Newton's
linear approximation, computed by finding succes
www.eeworm.com/read/343493/11944238
m empder_search.m
function [Jopt,Wopt,OptDetails] = empder_search(contrast,x,W,kparam,optparam)
% EMPDER_SEARCH - Steepest descent method for finding a minima in the
% Stiefel manifold of orthogonal
www.eeworm.com/read/343489/11944533
txt readme.txt
readme.txt
As of now (20-jul-02) this directory
contains the following:
* The acdc algorithm for finding the
approximate general (non-orthogonal)
joint diagonalizer (in the direct Least
www.eeworm.com/read/152732/12089980
f90 find_sub.f90
MODULE find_subsets
! A module of routines for finding and recording best-fitting subsets of
! regression variables
! Version 1.10, 17 February 2004
! Author: Alan Miller
! form
www.eeworm.com/read/152732/12089984
f90 subset.f90
PROGRAM subset
! Interactive program for finding best-fitting subsets of variables.
! Author: Alan Miller
! Retired from CSIRO Mathematical & Information Sciences, Melbourne, Australia
! am
www.eeworm.com/read/340662/12140910
java apriori.java
package datamining;
import java.io.*;
import java.util.*;
/**
* A bare bone clean implementation of the Apriori
* algorithm for finding frequent itemsets. Good for educational
* purposes
www.eeworm.com/read/338928/12271437
java sampling.java
//package datamining;
import java.io.*;
import java.util.*;
/**
* Class for finding frequent itemsets using sampling
* with the Apriori algorithm.
*
* @author Michael Holler
* @versi