本文整理汇总了C++中StopWatch::Elapsed方法的典型用法代码示例。如果您正苦于以下问题：C++ StopWatch::Elapsed方法的具体用法？C++ StopWatch::Elapsed怎么用？C++ StopWatch::Elapsed使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类StopWatch的用法示例。
在下文中一共展示了StopWatch::Elapsed方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: SleepFor
void ThreadBoost::SleepFor(millis_t millis, bool ensureSleepForCorrectTime)
{
if(ensureSleepForCorrectTime){
StopWatch sw;
millis_t remain = millis;
do{
boost::this_thread::sleep(boost::posix_time::milliseconds(remain));
millis_t remain = millis - sw.Elapsed(false);
if(remain <= 0) break;
boost::this_thread::yield();
}while(true);
}else{
boost::this_thread::sleep(boost::posix_time::milliseconds(millis));
}
}示例2: Test
bool Test(int n, int ix)
{
// Test of the updating Cholesky factorization of the random SPD test matrix after the symmetric column/row deletion
// Get a Test matrix
SetPrintParams(2, 0);
cout << endl << n << " x " << n << " Test matrix" << endl;
cout << "Deleting row/column: " << ix << endl;
SetPrintParams(7, 3);
SpdMatrixT orig(n * (n + 1) / 2);
SpdMatrixT reduced(n * (n + 1) / 2);
StopWatch sw;
if ( GetRandomMatrix(n, ix - 1, orig, reduced) != Status::Success )
{
cout << "Cannot get a test matrix, incorrect input parameter (matrix dimension)." << endl;
return false;
}
cout <<"Time of the matrices generating = " << sw.Elapsed() << " (s)\n";
SpdCholT cholReduced(std::move(reduced), n - 1);
sw.Restart();
Status rc = cholReduced.Factorize();
cout <<"Time of the matrix factorizing = " << sw.Elapsed() << " (s)\n";
if ( rc != Status::Success )
{
cout << "Cannot factorize the Reduced test matrix, it is not positive-definite one. rc = " << rc << endl;
return false;
}
cout << "The Reduced test matrix is factorized, rc = " << rc << endl;
SpdCholT cholOrig(std::move(orig), n);
rc = cholOrig.Factorize();
if ( rc != Status::Success )
{
cout << "Cannot factorize the original test matrix, it is not positive-definite one. rc = " << rc << endl;
return false;
}
cout << "The Original test matrix is factorized, rc = " << rc << endl;
// Get assessment of the test matrix condition number
cout.unsetf(std::ios::fixed);
SetPrintParams(7, 1, std::ios::scientific);
cout << "The Original matrix reciprocal condition number = " << cholOrig.GetRCond() << endl;
sw.Restart();
rc = cholOrig.UpdateDel(ix - 1);
cout <<"Time of the matrix factor recalculating = " << sw.Elapsed() << " (s)\n";
if ( rc != Status::Success )
{
cout << "Cannot calculate the updated Cholesky factor of the Test matrix. rc = " << rc << endl;
return false;
}
cout << "The updated Cholesky factor of the Original matrix is calculated. rc = " << rc << endl;
SpdMatrixT diff(cholOrig.GetMatrix());
SpdMatrixT fac = cholReduced.GetMatrix();
int n1 = n - 1;
Size_T sz = n1 * (n1 + 1) / 2;
for ( Size_T i = 0; i < sz; ++i )
{
diff[i] -= fac[i];
}
Helper1T hlp;
auto rn = hlp.GetVectorNorm2(sz, diff);
cout << "Norm of diference of the Orginal(recalculated) and Reduced factors = " << rn << endl;
VectorT b1(n1, 1);
rc = cholReduced.Solve(b1);
VectorT b2(n1, 1);
rc = cholOrig.Solve(b2);
for ( Size_T i = 0; i < n1; ++i )
{
b1[i] -= b2[i];
}
rn = hlp.GetVectorNorm2(n1, b1);
cout << "Norm of diference of the solutions = " << rn << endl;
return true;
}