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/424747/10417826

m tspsiman.m

function Best_tour_length= tspsiman(EUC_2D) % A Symmetric 2D Euclidian Traveling Salesman Problem (TSP) % Nearest Neighbor tour construction + 2-Opt local search + Simulated Annealing/Metropolis t
www.eeworm.com/read/160583/10517149

py movie_demo.py

#!/usr/bin/env python import os, sys from pylab import * files = [] figure(figsize=(5,5)) ax = subplot(111) for i in range(50): # 50 frames cla() imshow(rand(5,5), interpolation='nearest')
www.eeworm.com/read/452419/6951555

h kdtree.h

/**@file Functions and structures for maintaining a k-d tree database of image features. For more information, refer to: Beis, J. S. and Lowe, D. G. Shape indexing using approximate nearest-neighbo
www.eeworm.com/read/452419/6951569

c kdtree.c

/* Functions and structures for maintaining a k-d tree database of image features. For more information, refer to: Beis, J. S. and Lowe, D. G. Shape indexing using approximate nearest-neighbor sear
www.eeworm.com/read/312163/13617616

m~ gnpp.m~

function [x,fval,stat] = gnpp(H,f,y,options) % GNPP Solves Generalized Nearest Point (GNPP) problem. % % Synopsis: % [x,fval,stat] = gnpp(H,f) % [x,fval,stat] = gnpp(H,f,options) % % Description: %
www.eeworm.com/read/147331/5731857

c ieee.c

#include fp_rnd _DEFUN_VOID(fpgetround) { char *out; ieee_flags("get", "direction","", &out); if (strcmp(out,"nearest") == 0) return FP_RN; if (strcmp(out,"negative") == 0) ret
www.eeworm.com/read/147331/5731905

c ieee.c

#include fp_rnd _DEFUN_VOID(fpgetround) { char *out; ieee_flags("get", "direction","", &out); if (strcmp(out,"nearest") == 0) return FP_RN; if (strcmp(out,"negative") == 0) ret
www.eeworm.com/read/140847/5779184

m mk_chmm.m

function bnet = mk_chmm(N, Q, Y, discrete_obs, coupled, CPD) % MK_CHMM Make a coupled Hidden Markov Model % % There are N hidden nodes, each connected to itself and its two nearest neighbors in the ne
www.eeworm.com/read/133943/5897368

m mk_chmm.m

function bnet = mk_chmm(N, Q, Y, discrete_obs, coupled, CPD) % MK_CHMM Make a coupled Hidden Markov Model % % There are N hidden nodes, each connected to itself and its two nearest neighbors in the ne
www.eeworm.com/read/124347/6051318

c ieee.c

#include fp_rnd _DEFUN_VOID(fpgetround) { char *out; ieee_flags("get", "direction","", &out); if (strcmp(out,"nearest") == 0) return FP_RN; if (strcmp(out,"negative") == 0) ret