代码搜索：recursive
找到约 2,177 项符合「recursive」的源代码
代码结果 2,177
www.eeworm.com/read/158520/11603714
m turbo_sys_demo.m
% This script simulates the classical turbo encoding-decoding system.
% It simulates parallel concatenated convolutional codes.
% Two component rate 1/2 RSC (Recursive Systematic Convolutional) compo
www.eeworm.com/read/259580/11779952
cpp rsequentialsearch.cpp
// recursive sequential search
#include
#include // has copy
using namespace std;
template
int rSequentialSearch(T a[], int n, const T& x)
{// Search the
www.eeworm.com/read/259580/11780816
cpp recursivebtloading1.cpp
// first recursive backtracking code to load containers onto 2 ships
// code finds weight of max loading for first ship only
#include
using namespace std;
// global variables
int
www.eeworm.com/read/259580/11781240
cpp norecomputationdpknapsack.cpp
// dynamic programming recursive knapsack without recomputation
#include
#include
#include "make2dArrayNoCatch.h"
using namespace std;
// global variables
int *profit;
www.eeworm.com/read/341031/12112448
m turbo_sys_demo.m
% This script simulates the classical turbo encoding-decoding system.
% It simulates parallel concatenated convolutional codes.
% Two component rate 1/2 RSC (Recursive Systematic Convolutional) compo
www.eeworm.com/read/151961/12158465
m turbo_sys_demo.m
% This script simulates the classical turbo encoding-decoding system.
% It simulates parallel concatenated convolutional codes.
% Two component rate 1/2 RSC (Recursive Systematic Convolutional) compo
www.eeworm.com/read/151960/12158515
m turbo_sys_demo.m
% This script simulates the classical turbo encoding-decoding system.
% It simulates parallel concatenated convolutional codes.
% Two component rate 1/2 RSC (Recursive Systematic Convolutional) compo
www.eeworm.com/read/339831/12202018
gnumakefile
#
# This makefile system follows the structuring conventions
# recommended by Peter Miller in his excellent paper:
#
# Recursive Make Considered Harmful
# http://aegis.sourceforge.net/auug97.pdf
#
OBJ
www.eeworm.com/read/234429/14112908
m ihlf_svr_rfntrain_save.m
function [alpha,b,sv] = ihlf_svr_rfntrain_save(samples,targets,param)
% recursive finite Newton algorithm for support vector regression
% do not precompute the kernel matrix and the space complexity
www.eeworm.com/read/234429/14112918
m ihlf_svr_rfntrain_fast.m
function [alpha,b,sv] = ihlf_svr_rfntrain_fast(samples,targets,param)
% recursive finite Newton algorithm for support vector regression
% precompute the entire kernel matrix and the space complexity