|
| | Booth () |
| constexpr std::string | name_impl () const |
| bool | evaluate_impl (const Vector &x, Vector &out) const |
| bool | first_derivative_impl (const Vector &, FirstDerivative &out) const |
| bool | second_derivative_impl (const Vector &, SecondDerivative &out) const |
| | Function () |
| constexpr std::string | name () const |
| bool | evaluate (const Vector &x, Vector &out) const |
| bool | jacobian (const Vector &x, FirstDerivative &out) const |
| bool | hessian (const Vector &x, SecondDerivative &out) const |
| | FunctionBase () |
| constexpr std::string | name () const |
| bool | evaluate (const Vector &x, Vector &out) const |
| bool | first_derivative (const Vector &x, FirstDerivative &out) const |
| bool | second_derivative (const Vector &x, SecondDerivative &out) const |
| constexpr Integer | input_dimension () const |
| constexpr Integer | output_dimension () const |
| const std::vector< Vector > & | solutions () const |
| const std::vector< Vector > & | guesses () const |
| const Vector & | solution (const Integer i) const |
| const Vector & | guess (const Integer i) const |
| bool | is_solution (const Vector &x, const Scalar tol=FunctionBase::SQRT_EPSILON) const |
template<typename Vector>
requires
TypeTrait<Vector>::IsEigen && (!
TypeTrait<Vector>::IsFixed ||
TypeTrait<Vector>::Dimension == 2)
class Optimist::TestSet::Booth< Vector >
Class container for the Booth function, which is defined as:
\[\mathbf{f}(\mathbf{x}) = \begin{bmatrix} x_1 + 2x_2 - 7 \\ 2x_1 + x_2 - 5
\end{bmatrix} \text{.}
\]
The function has one solution at \(\mathbf{x} = [1, 3]^\top\), with \(f(\mathbf{x}) = 0\). The initial guesses are generated on the square \(x_i \in [-10, 10]\), for all \(x_i = 1, 2\).
- Template Parameters
-
| Scalar | Floating-point number type. |