An array. b
An array.
Compute the generalized tensorproduct of two arrays.
c = TENSOR_DIV( a, b )
c = TENSOR_EQ( a, b )
c = TENSOR_EXP( a, b )
c = TENSOR_GE( a, b )
c = TENSOR_GT( a, b )
c = TENSOR_LE( a, b )
c = TENSOR_LT( a, b )
c = TENSOR_MAX( a, b )
c = TENSOR_MIN( a, b )
c = TENSOR_MOD( a, b )
c = TENSOR_MUL( a, b )
c = TENSOR_NE( a, b )
c = TENSOR_SUB( a, b )
An array. b
An array.
The generalized tensor product of a and b. For logical operators (EQ, NE, etc.), a byte type result is returned. Otherwise, the result type depends on the type(s) of the input parameters. If a is an m dimensional array of dimension lengths a1, ...am and if b is an n dimensional array of dimension lengths b1, ...bn then c is a m+n dimensional array with dimension lengths a1, ...am, b1, ...bn.
Each element of c is computed as:
c(i1 , . . im, j1 , . . jn) = a(i1 , . . im) % b( j1 , . . jn)
where % symbolizes the operator associated with the selected function:
Example
NOTE: The combined dimensions of the two input parameters cannot exceed eight (8). If it does, an error is printed. If input parameters are not of the same type, one will be converted according to the rules used by PV-WAVE binary operators.
vni_dir
/wave/lib/std/wherein.proVNI_DIR\wave\lib\std\wherein.pro
VNI_DIR:[WAVE.LIB.STD]WHEREIN.PRO
