19 y=A*
pow((x/x0*
exp(1.0-x/x0)), alpha);
178 y=A*
pow((x/x0*
exp(1.0-x/x0)), alpha);
Base class for dvariable.
d3_array elem_prod(const d3_array &a, const d3_array &b)
Returns d3_array results with computed elements product of a(i, j, k) * b(i, j, k).
Description not yet available.
dvariable generalized_Ricker1(const double &x, const prevariable &x0, const prevariable &A, const prevariable &alpha)
generalized Ricker function, first parameerization; scalar
void RETURN_ARRAYS_DECREMENT(void)
Decrements gradient_structure::RETURN_ARRAYS_PTR.
Vector of double precision numbers.
Description not yet available.
d3_array elem_div(const d3_array &a, const d3_array &b)
Returns d3_array results with computed elements division of a(i, j, k) / b(i, j, k).
Description not yet available.
Description not yet available.
d3_array exp(const d3_array &arr3)
Returns d3_array results with computed exp from elements in arr3.
Description not yet available.
void RETURN_ARRAYS_INCREMENT(void)
Increments gradient_structure::RETURN_ARRAYS_PTR.
Fundamental data type for reverse mode automatic differentiation.
d3_array pow(const d3_array &m, int e)
Description not yet available.