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mathjs/src/function/arithmetic/dotMultiply.js at develop · rpeg/mathjs · GitHub
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arithmetic
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dotMultiply.js
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dotMultiply.js
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import
{
factory
}
from
'../../utils/factory'
import
{
createAlgorithm02
}
from
'../../type/matrix/utils/algorithm02'
import
{
createAlgorithm09
}
from
'../../type/matrix/utils/algorithm09'
import
{
createAlgorithm11
}
from
'../../type/matrix/utils/algorithm11'
import
{
createAlgorithm13
}
from
'../../type/matrix/utils/algorithm13'
import
{
createAlgorithm14
}
from
'../../type/matrix/utils/algorithm14'
const
name
=
'dotMultiply'
const
dependencies
=
[
'typed'
,
'matrix'
,
'equalScalar'
,
'multiplyScalar'
]
export
const
createDotMultiply
=
/* #__PURE__ */
factory
(
name
,
dependencies
,
(
{
typed
,
matrix
,
equalScalar
,
multiplyScalar
}
)
=>
{
const
algorithm02
=
createAlgorithm02
(
{
typed
,
equalScalar
}
)
const
algorithm09
=
createAlgorithm09
(
{
typed
,
equalScalar
}
)
const
algorithm11
=
createAlgorithm11
(
{
typed
,
equalScalar
}
)
const
algorithm13
=
createAlgorithm13
(
{
typed
}
)
const
algorithm14
=
createAlgorithm14
(
{
typed
}
)
/**
* Multiply two matrices element wise. The function accepts both matrices and
* scalar values.
*
* Syntax:
*
* math.dotMultiply(x, y)
*
* Examples:
*
* math.dotMultiply(2, 4) // returns 8
*
* a = [[9, 5], [6, 1]]
* b = [[3, 2], [5, 2]]
*
* math.dotMultiply(a, b) // returns [[27, 10], [30, 2]]
* math.multiply(a, b) // returns [[52, 28], [23, 14]]
*
* See also:
*
* multiply, divide, dotDivide
*
*
@param
{
number | BigNumber | Fraction | Complex | Unit | Array | Matrix
} x Left hand value
*
@param
{
number | BigNumber | Fraction | Complex | Unit | Array | Matrix
} y Right hand value
*
@return
{
number | BigNumber | Fraction | Complex | Unit | Array | Matrix
} Multiplication of `x` and `y`
*/
const
dotMultiply
=
typed
(
name
,
{
'any, any'
:
multiplyScalar
,
'SparseMatrix, SparseMatrix'
:
function
(
x
,
y
)
{
return
algorithm09
(
x
,
y
,
multiplyScalar
,
false
)
}
,
'SparseMatrix, DenseMatrix'
:
function
(
x
,
y
)
{
return
algorithm02
(
y
,
x
,
multiplyScalar
,
true
)
}
,
'DenseMatrix, SparseMatrix'
:
function
(
x
,
y
)
{
return
algorithm02
(
x
,
y
,
multiplyScalar
,
false
)
}
,
'DenseMatrix, DenseMatrix'
:
function
(
x
,
y
)
{
return
algorithm13
(
x
,
y
,
multiplyScalar
)
}
,
'Array, Array'
:
function
(
x
,
y
)
{
// use matrix implementation
return
dotMultiply
(
matrix
(
x
)
,
matrix
(
y
)
)
.
valueOf
(
)
}
,
'Array, Matrix'
:
function
(
x
,
y
)
{
// use matrix implementation
return
dotMultiply
(
matrix
(
x
)
,
y
)
}
,
'Matrix, Array'
:
function
(
x
,
y
)
{
// use matrix implementation
return
dotMultiply
(
x
,
matrix
(
y
)
)
}
,
'SparseMatrix, any'
:
function
(
x
,
y
)
{
return
algorithm11
(
x
,
y
,
multiplyScalar
,
false
)
}
,
'DenseMatrix, any'
:
function
(
x
,
y
)
{
return
algorithm14
(
x
,
y
,
multiplyScalar
,
false
)
}
,
'any, SparseMatrix'
:
function
(
x
,
y
)
{
return
algorithm11
(
y
,
x
,
multiplyScalar
,
true
)
}
,
'any, DenseMatrix'
:
function
(
x
,
y
)
{
return
algorithm14
(
y
,
x
,
multiplyScalar
,
true
)
}
,
'Array, any'
:
function
(
x
,
y
)
{
// use matrix implementation
return
algorithm14
(
matrix
(
x
)
,
y
,
multiplyScalar
,
false
)
.
valueOf
(
)
}
,
'any, Array'
:
function
(
x
,
y
)
{
// use matrix implementation
return
algorithm14
(
matrix
(
y
)
,
x
,
multiplyScalar
,
true
)
.
valueOf
(
)
}
}
)
return
dotMultiply
}
)
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