#include <synthetic.hpp>
Inheritance diagram for syn::devillers_glasser1:
Public Member Functions | |
| double | evaluate (inst::set x) override |
 Public Member Functions inherited from syn::synthetic | |
| synthetic (const std::string &n, u_int dims, double lb, double ub, double opt) | |
| synthetic (const std::string &n, u_int dims, double opt) | |
| ~synthetic () | |
| sspace::sspace_t * | get_search_space () |
| void | set_properties (std::vector< properties > p) |
| std::vector< properties > | get_properties () |
| inst::set | get_opt_param () |
| double | get_opt () |
| void | update_opt (double opt) |
| u_int | get_dims () |
| void | validate_param_set (inst::set x) |
| Public Member Functions inherited from optk::benchmark | |
| benchmark (const std::string &name) | |
| std::string | get_name () |
Additional Inherited Members | |
| Protected Member Functions inherited from syn::synthetic | |
| void | set_opt_param (inst::set op) |
| Protected Attributes inherited from syn::synthetic | |
| u_int | m_dims |
| double | m_lb |
| double | m_ub |
| double | m_opt |
| std::vector< properties > | m_properties |
| inst::set | opt_params |
| sspace::sspace_t | m_sspace |
| Protected Attributes inherited from optk::benchmark | |
| std::string | m_name |
Detailed Description
The deVillers Glasser 1 function has the following formula, adapted from : 'A Continuation Approach for Solving Large-Residual Nonlinear Least Squares Problems', p1145 https://epubs.siam.org/doi/abs/10.1137/0908058
\[ f(\mathbf{x}) = \sum^{24}_{i=1}\left( x_1x_2^{0.1(i-1)}\sin(0.1x_3(i-1) + x_4) - y_i \right)^2, \]
where
\[ y_i = 60.137 \cdot 1.371^{0.1 (i-1)} \sin(3.112 \cdot 0.1(i-1) + 1.761). \]
This is subject to the bounds \(-500 \le x_i \le 500\), with the global minimum arising at \(\mathbf{x}^* = (60.173, 1.371, 3.112, 1.761)\), with a value of \(f(\mathbf{x}^*) = 0\).
Member Function Documentation
◆ evaluate()
|
overridevirtual |
Evaluate the benchmark (i.e. calculate the value of the objective fuinction) on the provided values.
- Parameters
-
x A vector of double-precision values to evaluate the benchmark at.
- Todo:
- Verify that a vector of doubles does not constrict the range of benchmark functions which may be evaluated (i.e. as opposed to categorical variables such as strings).
Implements optk::benchmark.
The documentation for this class was generated from the following files:
- includes/benchmarks/synthetic.hpp
- src/benchmarks/synthetic.cpp
