doe_evaluate_model Interface

public interface doe_evaluate_model

Module Procedures

private function doe_evaluate_model_1(nway, beta, x, map) result(rst)

Evaluates the model of the following form.

Arguments

Type IntentOptional Attributes Name
integer(kind=int32), intent(in) :: nway

The number of interaction levels. Currently, this algorithm supports a maximum of three-way interaction.

real(kind=real64), intent(in), dimension(:) :: beta

The model coefficients.

real(kind=real64), intent(in), dimension(:,:) :: x

The M-by-N matrix containing the M values of each of the N factors at which to evaluate the model.

logical, intent(in), optional, target, dimension(:) :: map

An optional array of the same size as beta that can be used to eliminate a parameter from the model (false), or keep a parameter in the model (true). If not supplied, all parameters will be assumed to be part of the model as if the array were filled with all true values.

Return Value real(kind=real64), allocatable, dimension(:)

The resulting M-element array.

private function doe_evaluate_model_2(mdl, x) result(rst)

Evaluates the model of the following form.

Arguments

Type IntentOptional Attributes Name
class(doe_model), intent(in) :: mdl

The model to evaluate.

real(kind=real64), intent(in), dimension(:,:) :: x

The M-by-N matrix containing the M values of each of the N factors at which to evaluate the model.

Return Value real(kind=real64), allocatable, dimension(:)

The resulting M-element array.