本文整理汇总了C++中CppAD::cos方法的典型用法代码示例。如果您正苦于以下问题：C++ CppAD::cos方法的具体用法？C++ CppAD::cos怎么用？C++ CppAD::cos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CppAD的用法示例。
在下文中一共展示了CppAD::cos方法的5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: AtanTestTwoFunc
CppAD::ADFun<T>* AtanTestTwoFunc(const std::vector<CppAD::AD<T> >& u) {
using CppAD::atan;
using CppAD::sin;
using CppAD::cos;
using namespace CppAD;
assert(u.size() == 1);
// a temporary values
AD<T> x = sin(u[0]) / cos(u[0]);
// dependent variable vector
std::vector< AD<T> > Z(1);
Z[0] = atan(x); // atan( tan(u) )
// create f: U -> Z and vectors used for derivative calculations
return new ADFun<T > (u, Z);
}示例2: AtanTestOneFunc
CppAD::ADFun<T>* AtanTestOneFunc(const std::vector<CppAD::AD<T> >& u) {
using CppAD::atan;
using namespace CppAD;
assert(u.size() == 1);
size_t s = 0;
// some temporary values
AD<T> x = cos(u[s]);
AD<T> y = sin(u[s]);
AD<T> z = y / x; // tan(s)
// dependent variable vector and indices
std::vector< AD<T> > Z(1);
size_t a = 0;
// dependent variable values
Z[a] = atan(z); // atan( tan(s) )
// create f: U -> Z and vectors used for derivative calculations
return new ADFun<T > (u, Z);
}示例3: VecUnary
bool VecUnary(void)
{
using namespace CppAD;
using CppAD::abs;
using CppAD::sin;
using CppAD::atan;
using CppAD::cos;
using CppAD::exp;
using CppAD::log;
using CppAD::sqrt;
bool ok = true;
size_t n = 8;
size_t i;
CPPAD_TEST_VECTOR< AD<double> > X(n);
VecAD<double> Y(n);
CPPAD_TEST_VECTOR< AD<double> > Z(n);
for(i = 0; i < n; i++)
X[i] = int(i); // some compilers require the int here
Independent(X);
AD<double> j;
j = 0.;
Y[j] = X[0];
Z[0] = -Y[j];
j = 1.;
Y[j] = X[1];
Z[1] = sin( Y[j] );
j = 2.;
Y[j] = X[2];
Z[2] = abs( Y[j] );
j = 3.;
Y[j] = X[3];
Z[3] = atan( Y[j] );
j = 4.;
Y[j] = X[4];
Z[4] = cos( Y[j] );
j = 5.;
Y[j] = X[5];
Z[5] = exp( Y[j] );
j = 6.;
Y[j] = X[6];
Z[6] = log( Y[j] );
j = 7.;
Y[j] = X[7];
Z[7] = sqrt( Y[j] );
ADFun<double> f(X, Z);
CPPAD_TEST_VECTOR<double> x(n);
CPPAD_TEST_VECTOR<double> z(n);
for(i = 0; i < n; i++)
x[i] = 2. / double(i + 1);
x[7] = abs( x[7] );
z = f.Forward(0, x);
ok &= NearEqual(z[0], - x[0], 1e-10, 1e-10);
ok &= NearEqual(z[1], sin( x[1] ), 1e-10, 1e-10);
ok &= NearEqual(z[2], abs( x[2] ), 1e-10, 1e-10);
ok &= NearEqual(z[3], atan(x[3] ), 1e-10, 1e-10);
ok &= NearEqual(z[4], cos( x[4] ), 1e-10, 1e-10);
ok &= NearEqual(z[5], exp( x[5] ), 1e-10, 1e-10);
ok &= NearEqual(z[6], log( x[6] ), 1e-10, 1e-10);
ok &= NearEqual(z[7], sqrt(x[7] ), 1e-10, 1e-10);
return ok;
}示例4: Cos
bool Cos(void)
{ bool ok = true;
using CppAD::sin;
using CppAD::cos;
using namespace CppAD;
// independent variable vector
CPPAD_TESTVECTOR(AD<double>) U(1);
U[0] = 1.;
Independent(U);
// dependent variable vector
CPPAD_TESTVECTOR(AD<double>) Z(1);
Z[0] = cos(U[0]);
// create f: U -> Z and vectors used for derivative calculations
ADFun<double> f(U, Z);
CPPAD_TESTVECTOR(double) v(1);
CPPAD_TESTVECTOR(double) w(1);
// check value
double sin_u = sin( Value(U[0]) );
double cos_u = cos( Value(U[0]) );
ok &= NearEqual(cos_u, Value(Z[0]), 1e-10 , 1e-10);
// forward computation of partials w.r.t. u
size_t j;
size_t p = 5;
double jfac = 1.;
v[0] = 1.;
for(j = 1; j < p; j++)
{ w = f.Forward(j, v);
double value;
if( j % 4 == 1 )
value = -sin_u;
else if( j % 4 == 2 )
value = -cos_u;
else if( j % 4 == 3 )
value = sin_u;
else value = cos_u;
jfac *= j;
ok &= NearEqual(jfac*w[0], value, 1e-10 , 1e-10); // d^jz/du^j
v[0] = 0.;
}
// reverse computation of partials of Taylor coefficients
CPPAD_TESTVECTOR(double) r(p);
w[0] = 1.;
r = f.Reverse(p, w);
jfac = 1.;
for(j = 0; j < p; j++)
{
double value;
if( j % 4 == 0 )
value = -sin_u;
else if( j % 4 == 1 )
value = -cos_u;
else if( j % 4 == 2 )
value = sin_u;
else value = cos_u;
ok &= NearEqual(jfac*r[j], value, 1e-10 , 1e-10); // d^jz/du^j
jfac *= (j + 1);
}
return ok;
}示例5: ForHess
bool ForHess(void)
{ bool ok = true;
using namespace CppAD;
using CppAD::exp;
using CppAD::sin;
using CppAD::cos;
using CppAD::NearEqual;
double eps99 = 99.0 * std::numeric_limits<double>::epsilon();
size_t i;
// create independent variable vector with assigned values
CPPAD_TESTVECTOR(double) u0(3);
CPPAD_TESTVECTOR(AD<double>) U(3);
for(i = 0; i < 3; i++)
U[i] = u0[i] = double(i+1);
Independent( U );
// define the function
CPPAD_TESTVECTOR(AD<double>) Y(2);
Y[0] = U[0] * exp( U[1] );
Y[1] = U[1] * sin( U[2] );
// create the function y = F(u)
ADFun<double> F(U, Y);
// formulas for the upper triangle of Hessian of F_0
CPPAD_TESTVECTOR(double) H0(9);
H0[0] = 0.; // d^2 y[0] / d_u[0] d_u[0]
H0[1] = exp( u0[1] ); // d^2 y[0] / d_u[0] d_u[1]
H0[2] = 0.; // d^2 y[0] / d_u[0] d_u[2]
H0[4] = u0[0] * exp( u0[1] ); // d^2 y[0] / d_u[1] d_u[1]
H0[5] = 0.; // d^2 y[0] / d_u[1] d_u[2]
H0[8] = 0.; // d^2 y[0] / d_u[2] d_u[2]
// formulas for the upper triangle of Hessian of F_1
CPPAD_TESTVECTOR(double) H1(9);
H1[0] = 0.; // d^2 Y[1] / d_U[0] d_U[0]
H1[1] = 0.; // d^2 Y[1] / d_U[0] d_U[1]
H1[2] = 0.; // d^2 Y[1] / d_U[0] d_U[2]
H1[4] = 0.; // d^2 Y[1] / d_U[1] d_U[1]
H1[5] = cos( u0[2] ); // d^2 Y[1] / d_U[1] d_U[2]
H1[8] = - u0[1] * sin( u0[2] );// d^2 Y[1] / d_U[2] d_U[2]
// Define U(t) = u0 + u1 t + u2 t^2 / 2
CPPAD_TESTVECTOR(double) u1(3);
CPPAD_TESTVECTOR(double) u2(3);
for(i = 0; i < 3; i++)
u1[i] = u2[i] = 0.;
size_t j;
for(i = 0; i < 3; i++)
{ // diagonal of Hessians in i-th coordiante direction
u1[i] = 1.;
F.Forward(1, u1);
CPPAD_TESTVECTOR(double) Di = F.Forward(2, u2);
ok &= NearEqual( 2. * Di[0] , H0[ i + 3 * i], eps99, eps99);
ok &= NearEqual( 2. * Di[1] , H1[ i + 3 * i], eps99, eps99);
//
for(j = i+1; j < 3; j++)
{ // cross term in i and j direction
u1[j] = 1.;
F.Forward(1, u1);
CPPAD_TESTVECTOR(double) Cij = F.Forward(2, u2);
// diagonal of Hessian in j-th coordinate direction
u1[i] = 0.;
F.Forward(1, u1);
CPPAD_TESTVECTOR(double) Dj = F.Forward(2, u2);
// (i, j) elements of the Hessians
double H0ij = Cij[0] - Di[0] - Dj[0];
ok &= NearEqual( H0ij, H0[j + 3 * i], eps99, eps99);
double H1ij = Cij[1] - Di[1] - Dj[1];
ok &= NearEqual( H1ij, H1[j + 3 * i], eps99, eps99);
// reset all components of u1 to zero
u1[j] = 0.;
}
}
return ok;
}