TENSOR Functions
Compute the generalized tensor product of two arrays.
enabled.Usage
c = TENSOR_ADD( a, b )
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 )
Input Parameters
a—An array.
b—An array.
Keywords
None.
Returned Value
c—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. Table 17-1: PV-WAVE Operators lists the available PV‑WAVE operators.
Function | PV-WAVE Operator |
|---|---|
TENSOR_ADD | + |
TENSOR_DIV | / |
TENSOR_EQ | EQ |
TENSOR_EXP | ^ |
TENSOR_GE | GE |
TENSOR_GT | GT |
TENSOR_LE | LE |
TENSOR_LT | LT |
TENSOR_MAX | > |
TENSOR_MIN | < |
TENSOR_MOD | MOD |
TENSOR_MUL | * |
TENSOR_NE | NE |
TENSOR_SUB | – |
Discussion
The TENSOR functions are useful when it is necessary to apply a binary operator to all combinations of elements of one array with elements of a second array.
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. |
Example
Refer to the Standard Library routine WHEREIN, where TENSOR_EQ is used to perform intersections and other related set operations.
(UNIX) <RW_DIR>/wave/lib/std/wherein.pro
(WIN) <RW_DIR>\wave\lib\std\wherein.pro
See Also
