代码搜索：Nearest
找到约 1,596 项符合「Nearest」的源代码
代码结果 1,596
www.eeworm.com/read/237551/4624236
c ots_nintxq.c
/* Software floating-point emulation: convert to fortran nearest.
Copyright (C) 1997,1999,2004,2006 Free Software Foundation, Inc.
This file is part of the GNU C Library.
Contributed by Richa
www.eeworm.com/read/320652/3543420
c ots_nintxq.c
/* Software floating-point emulation: convert to fortran nearest.
Copyright (C) 1997,1999,2004,2006 Free Software Foundation, Inc.
This file is part of the GNU C Library.
Contributed by Richa
www.eeworm.com/read/435707/1861149
c flt_rounds.c
/*
* Written by J.T. Conklin, Apr 10, 1995
* Public domain.
*/
#include
static const int map[] = {
1, /* round to nearest */
3, /* round to zero */
2, /* round to negative infinity *
www.eeworm.com/read/367182/2851379
c ots_nintxq.c
/* Software floating-point emulation: convert to fortran nearest.
Copyright (C) 1997,1999,2004,2006 Free Software Foundation, Inc.
This file is part of the GNU C Library.
Contributed by Richa
www.eeworm.com/read/393250/8302312
txt 9.32.txt
void Out_X(BiTree t, KeyType x, KeyType &a, KeyType &b,int &last);
void OutX(BiTree t, KeyType x, KeyType &a, KeyType &b)
/* a: Return the nearest and smaller value to x, */
/* but return MINV
www.eeworm.com/read/237957/13917974
cc partition.cc
#include "Partition.h"
#include
Partition::Partition(integer dim, real a)
{
integer largest_pow = ((integer)(floor((log(dim) / log(a)) + 0.5 )));
// largest_pow = nearest integer to l
www.eeworm.com/read/286662/8751916
m store_grabbag.m
function test_targets = Store_Grabbag(train_patterns, train_targets, test_patterns, Knn)
% Classify using the store-grabbag algorithm (an improvement on the nearest neighbor)
% Inputs:
% train_p
www.eeworm.com/read/384512/8866328
m knn.m
function [C,P]=knn(d, Cp, K)
%KNN K-Nearest Neighbor classifier using an arbitrary distance matrix
%
% [C,P]=knn(d, Cp, [K])
%
% Input and output arguments ([]'s are optional):
% d (matrix)
www.eeworm.com/read/372113/9521287
m store_grabbag.m
function test_targets = Store_Grabbag(train_patterns, train_targets, test_patterns, Knn)
% Classify using the store-grabbag algorithm (an improvement on the nearest neighbor)
% Inputs:
% train_p
www.eeworm.com/read/362008/10023964
m store_grabbag.m
function test_targets = Store_Grabbag(train_patterns, train_targets, test_patterns, Knn)
% Classify using the store-grabbag algorithm (an improvement on the nearest neighbor)
% Inputs:
% train_p