28 for (
int i=min;i<=
max;++i)
52 for (
int i=min;i<=
max;++i)
76 for (
int i=min;i<=
max;++i)
97 for (
int i=min;i<=
max;++i)
116 for (
int i=min;i<=
max;++i)
136 for (
int i = min; i <=
max; ++i)
void allocate(int hhsl, int hhsu)
Allocate vector of dvar5_array with dimension [hsl to hsu].
Base class for dvariable.
Description not yet available.
double sum(const d3_array &darray)
Author: David Fournier Copyright (c) 2008-2012 Regents of the University of California.
Description not yet available.
void RETURN_ARRAYS_INCREMENT()
Description not yet available.
Author: David Fournier Copyright (c) 2008-2012 Regents of the University of California.
static _THREAD gradient_structure * _instance
void operator/=(const prevariable &d)
Description not yet available.
Description not yet available.
void RETURN_ARRAYS_DECREMENT()
d3_array operator/(const d3_array &m, const double d)
Author: David Fournier.
class for things related to the gradient structures, including dimension of arrays, size of buffers, etc.
Fundamental data type for reverse mode automatic differentiation.