代码搜索：conditional
找到约 2,177 项符合「conditional」的源代码
代码结果 2,177
www.eeworm.com/read/233448/4683101
c struct-non-lval-2.c
/* Bug c/17855, using conditional expression for non-lvalue. */
struct foo {char x, y, z[2];};
struct foo p, q; int r;
void bar(int baz)
{
(r ? p : q).z[baz] = 1;
}
www.eeworm.com/read/233448/4684485
c iftrap-2.c
/* Verify that we optimize to conditional traps. */
/* { dg-options "-O" } */
/* { dg-do compile { target rs6000-*-* powerpc-*-* sparc*-*-* ia64-*-* } } */
/* { dg-final { scan-assembler-not "^\t(tra
www.eeworm.com/read/233448/4685218
c iftrap-1.c
/* Verify that we optimize to conditional traps. */
/* { dg-options "-O" } */
/* { dg-do compile { target rs6000-*-* powerpc-*-* sparc*-*-* ia64-*-* } } */
/* { dg-final { scan-assembler-not "^\t(tra
www.eeworm.com/read/224327/4803885
s uss_fpopns.s
/* Copyright 1991-1992 Wind River Systems, Inc. */
.data
.globl _copyright_wind_river
.long _copyright_wind_river
/*
modification history
--------------------
01g,14mar95,tmk inverted conditional
www.eeworm.com/read/215485/4903395
m belprop_polytree_cg.m
% Inference on a conditional Gaussian model
% Make the following polytree, where all arcs point down
% 1 2
% \ /
% 3
% / \
% 4 5
N = 5;
dag = zeros(N,N);
dag(1,3) = 1;
dag(2,3)
www.eeworm.com/read/215485/4903689
m tabular_cpd.m
function CPD = tabular_CPD(bnet, self, varargin)
% TABULAR_CPD Make a multinomial conditional prob. distrib. (CPT)
%
% CPD = tabular_CPD(bnet, node) creates a random CPT.
%
% The following arguments c
www.eeworm.com/read/215485/4903785
m tree_cpd.m
function CPD = tree_CPD(varargin)
%DTREE_CPD Make a conditional prob. distrib. which is a decision/regression tree.
%
% CPD =dtree_CPD() will create an empty tree.
if nargin==0
% This occurs if we
www.eeworm.com/read/215485/4904405
m normalize_pot.m
function [pot, loglik] = normalize_pot(pot)
% NORMALIZE_POT Convert the element of stable conditional gaussian potential Pr(X,E) into Pr(X|E) and return log Pr(E).
% [pot, loglik] = normalize_pot(pot)
www.eeworm.com/read/197905/5090841
m belprop_polytree_cg.m
% Inference on a conditional Gaussian model
% Make the following polytree, where all arcs point down
% 1 2
% \ /
% 3
% / \
% 4 5
N = 5;
dag = zeros(N,N);
dag(1,3) = 1;
dag(2,3)
www.eeworm.com/read/197905/5091135
m tabular_cpd.m
function CPD = tabular_CPD(bnet, self, varargin)
% TABULAR_CPD Make a multinomial conditional prob. distrib. (CPT)
%
% CPD = tabular_CPD(bnet, node) creates a random CPT.
%
% The following arguments c