25 for (
int i = min; i <=
max; ++i)
46 for (
int i = min; i <=
max; ++i)
67 for (
int i = min; i <=
max; ++i)
88 for (
int i = min; i <=
max; ++i)
110 for (
int i = min; i <=
max; ++i)
Description not yet available.
double sum(const d3_array &darray)
Author: David Fournier Copyright (c) 2008-2012 Regents of the University of California.
d3_array mfexp(const d3_array &m)
Author: David Fournier Copyright (c) 2008-2012 Regents of the University of California.
d3_array sqrt(const d3_array &arr3)
Author: David Fournier Copyright (c) 2008-2012 Regents of the University of California.
void RETURN_ARRAYS_INCREMENT()
Author: David Fournier Copyright (c) 2008-2012 Regents of the University of California.
d3_array exp(const d3_array &arr3)
Returns d3_array results with computed exp from elements in arr3.
static _THREAD gradient_structure * _instance
void allocate(int hsl, int hsu, int sl, int sh, int nrl, int nrh, int ncl, int nch)
Allocate variable array with dimensions [hsl to hsu] x [sl to sh] x [nrl to nrh] x [ncl to nch]...
Description not yet available.
void RETURN_ARRAYS_DECREMENT()
class for things related to the gradient structures, including dimension of arrays, size of buffers, etc.
Fundamental data type for reverse mode automatic differentiation.
d3_array log(const d3_array &arr3)
Author: David Fournier Copyright (c) 2008-2012 Regents of the University of California.