AML functions by module
**** Kernel functions *****
Abs
AllPos
Angle
Append
Arithmetic operators
Array
At
Boolean operators
Ceil
Comparison operators
Constants
Date operators
Delete
Display
DisplayAllNames
DisplayAllUserNames
Echo
EchoOn / EchoOff
EDist
Filter
Flatten
Floor
Foreach
Head
Identity
If-Then-Else
InsertAt
Inter
Invert
List
Mathematical functions
Max
Min
Mod
Norm
Plot, NewPlot
Pos
Prod
ProdSeries
RemoveAt
Rint
Save
Select
Series
Set
SetMinus
Size
Sort
SProd
SubArray
Sum
Switch
Tail
ToArray
ToInt
ToList
ToReal
ToSet
ToString
Trigonometric functions
Truncate
Union
VProd
**** MTG functions *****
Activate
Active
AlgHeight
AlgOrder
AlgRank
Alpha
Ancestors
Axis
Beta
BottomCoord
BottomDiameter
Class
ClassScale
Complex
ComponentRoots
Components
Coord
DateSample
Defined
Descendants
DressingData
EdgeType
Extremities
Father
Feature
FirstDefinedFeature
Height
Index
LastDefinedFeature
Length
Location
MatchingExtract
MTG
MTGRoot
NextDate
Order
Path
PDir
PlantFrame
Plot
Predecessor
PreviousDate
Rank
RelBottomCoord
RelTopCoord
Root
Scale
SDir
Sons
Successor
TopCoord
TopDiameter
TreeMatching
Trunk
VirtualPattern
VtxList
**** STAT functions *****
Cluster
Clustering
Compare (distributions)
Compare (vectors)
Compare (sequences)
Compare (Markovian models of sequences)
Compare (Markovian models)
ComparisonTest
Compound
ComputeCorrelation
ComputePartialAutoCorrelation
ComputeRankCorrelation
ComputeSelfTransition
ComputeStateSequences
ComputeWhiteNoiseAutoCorrelation
ContingencyTable
Convolution
Cumulate
Difference
Display
Distribution
Estimate (distributions)
Estimate (renewal process)
Estimate (Markovian models)
Estimate ('top' parameters)
ExtractData
ExtractDistribution
ExtractHistogram
ExtractVectors
Fit
HiddenMarkov
HiddenSemiMarkov
Histogram
IndexExtract
LengthSelect
Load
Markov
Merge
MergeVariable
Mixture
ModelSelectionTest
MovingAverage
NbEventSelect
Plot, NewPlot
RecurrenceTimeSequences
Regression
RemoveApicalInternodes
RemoveRun
Renewal
Reverse
Save
SegmentationExtract
SelectIndividual
SelectVariable
SemiMarkov
Sequences
Shift
Simulate (distributions)
Simulate (renewal process)
Simulate (Markovian models)
Simulate ('top' parameters)
Symmetrize
TimeEvents
TimeScaling
TimeSelect
ToDistribution
ToHistogram
TopParameters
Tops
Transcode
TransformPosition
ValueSelect
VariableScaling
VarianceAnalysis
VectorDistance
Vectors
K
ernel module
Abs
AllPos
Angle
Append
Arithmetic operators
Array
At
Boolean operators
Ceil
Comparison operators
Constants
Date operators
Delete
Display
DisplayAllNames
DisplayAllUserNames
Echo
EchoOn / EchoOff
EDist
Filter
Flatten
Floor
Foreach
Head
Identity
If-Then-Else
InsertAt
Inter
Invert
List
Mathematical functions
Max
Min
Mod
Norm
Plot, NewPlot
Pos
Prod
ProdSeries
RemoveAt
Rint
Save
Select
Series
Set
SetMinus
Size
Sort
SProd
SubArray
Sum
Switch
Tail
ToArray
ToInt
ToList
ToReal
ToSet
ToString
Trigonometric functions
Truncate
Union
VProd
M
TG module
S
TAT module
F
ile syntax
SProd
Scalar product of two arrays.
Usage
SProd
(
a
1
,
a
2
)
Arguments
a
1
,
a
2
(
ARRAY(REAL)
). These two arrays must have identical size.
Returned Object
The result of a scalar product is a
REAL
. If one of the arguments is
Undef
, returns
Undef
Description
Denote
a
1
and
a
2
. The scalar product of two arrays with same dimension
n
is defined by:
See Also
EDist
,
Angle
,
Norm
,
VProd
,
Array
.
Examples
AML>SProd([1.,0.,0.],[0.,1.,0.])
<REAL> 0
AML> SProd([1.,1.,0.,4.],[1.,1.,0.,2.])
<REAL> 10
and 
. The scalar product of two arrays with same dimension n is defined by:
