Exponential: exp

Syntax

exp ( op )

Input parameters

op	the operand

Examples of valid syntaxes

exp ( DS_1 )
exp ( 5 )

Semantics for scalar operations

The operator exp returns e (base of the natural logarithm) raised to the op-th power. For example:

exp ( 5 ) gives 148.41315...
exp ( 1 ) gives 2.71828... (the number e)
exp ( 0 ) gives 1.0
exp ( -1 ) gives 0.36787... (the number 1/e)

Input parameters type

op

dataset { measure<number> _+ }
| component<number>
| number

Result type

result

dataset { measure<number[value > 0]> _+ }
| component<number [value > 0]>
| number[value > 0]

Additional Constraints

None.

Behavior

The operator has the behaviour of the “Operators applicable on one Scalar Value or Data Set or Data Set Component” (see the section “Typical behaviours of the ML Operators”).

Examples

Given the operand dataset DS_1:

Input DS_1 (see structure)

Id_1	Id_2	Me_1	Me_2
10	A	5	0.7545
10	B	8	13.45
11	A	2	1.87

Example 1

DS_r := exp(DS_1);

results in (see structure):

DS_r
Id_1	Id_2	Me_1	Me_2
10	A	148.413	2.126547
10	B	2980.95	693842.3
11	A	7.38905	6.488296

Example 2

DS_r := DS_1 [ calc Me_1 := exp ( Me_1 ) ];

results in (see structure):

DS_r
Id_1	Id_2	Me_1	Me_2
10	A	148.4131591025766	0.7545
10	B	2980.9579870417283	13.45
11	A	7.38905609893065	1.87