What is the vectorized form of this expression?
$begingroup$
I want to figure out a general formula for vectorizing computations.
For example, if I am given matrices, A,B such that A is $m times q$, B is $n times q$. And I want to compute the matrix $X$, where each component of $X$ is
$$
X_{ij} = sum_{r = 1}^q A_{ir} B_{jr}
$$
Note that:
$i = 1 ldots m$
$j = 1 ldots n$
This one is simple. By vectorizing, I mean we get rid of the summation and the individual component computations. So for this example, the vectorized form is $X = A*B^T$.
But what if instead we add another multplication term, $c$ that is $qtimes1$
$$
X_{ij} = sum_{r = 1}^q A_{ir} * B_{jr} * c_r
$$
How would we vectorize this? If $q$ is small, say q = 2, we could simply expand out the terms like $X = A*B^T*c[1] + A*B^T*c[2]$.
But this is obviously not feasible if q is large. How would you vectorize something like this?
Is there a general procedure to follow to a problem like this, or is the vectorization very problem-specific that no general procedure can be followed?
matrices vectors vectorization
$endgroup$
add a comment |
$begingroup$
I want to figure out a general formula for vectorizing computations.
For example, if I am given matrices, A,B such that A is $m times q$, B is $n times q$. And I want to compute the matrix $X$, where each component of $X$ is
$$
X_{ij} = sum_{r = 1}^q A_{ir} B_{jr}
$$
Note that:
$i = 1 ldots m$
$j = 1 ldots n$
This one is simple. By vectorizing, I mean we get rid of the summation and the individual component computations. So for this example, the vectorized form is $X = A*B^T$.
But what if instead we add another multplication term, $c$ that is $qtimes1$
$$
X_{ij} = sum_{r = 1}^q A_{ir} * B_{jr} * c_r
$$
How would we vectorize this? If $q$ is small, say q = 2, we could simply expand out the terms like $X = A*B^T*c[1] + A*B^T*c[2]$.
But this is obviously not feasible if q is large. How would you vectorize something like this?
Is there a general procedure to follow to a problem like this, or is the vectorization very problem-specific that no general procedure can be followed?
matrices vectors vectorization
$endgroup$
1
$begingroup$
Let $$C = begin{bmatrix}c_1 & 0 & dots & 0\0 & c_2 & dots & 0 \vdots & vdots &ddots& vdots\0&0&dots&c_qend{bmatrix}$$ Then $$X = ACB^T$$
$endgroup$
– Paul Sinclair
Jan 30 at 3:20
add a comment |
$begingroup$
I want to figure out a general formula for vectorizing computations.
For example, if I am given matrices, A,B such that A is $m times q$, B is $n times q$. And I want to compute the matrix $X$, where each component of $X$ is
$$
X_{ij} = sum_{r = 1}^q A_{ir} B_{jr}
$$
Note that:
$i = 1 ldots m$
$j = 1 ldots n$
This one is simple. By vectorizing, I mean we get rid of the summation and the individual component computations. So for this example, the vectorized form is $X = A*B^T$.
But what if instead we add another multplication term, $c$ that is $qtimes1$
$$
X_{ij} = sum_{r = 1}^q A_{ir} * B_{jr} * c_r
$$
How would we vectorize this? If $q$ is small, say q = 2, we could simply expand out the terms like $X = A*B^T*c[1] + A*B^T*c[2]$.
But this is obviously not feasible if q is large. How would you vectorize something like this?
Is there a general procedure to follow to a problem like this, or is the vectorization very problem-specific that no general procedure can be followed?
matrices vectors vectorization
$endgroup$
I want to figure out a general formula for vectorizing computations.
For example, if I am given matrices, A,B such that A is $m times q$, B is $n times q$. And I want to compute the matrix $X$, where each component of $X$ is
$$
X_{ij} = sum_{r = 1}^q A_{ir} B_{jr}
$$
Note that:
$i = 1 ldots m$
$j = 1 ldots n$
This one is simple. By vectorizing, I mean we get rid of the summation and the individual component computations. So for this example, the vectorized form is $X = A*B^T$.
But what if instead we add another multplication term, $c$ that is $qtimes1$
$$
X_{ij} = sum_{r = 1}^q A_{ir} * B_{jr} * c_r
$$
How would we vectorize this? If $q$ is small, say q = 2, we could simply expand out the terms like $X = A*B^T*c[1] + A*B^T*c[2]$.
But this is obviously not feasible if q is large. How would you vectorize something like this?
Is there a general procedure to follow to a problem like this, or is the vectorization very problem-specific that no general procedure can be followed?
matrices vectors vectorization
matrices vectors vectorization
asked Jan 29 at 19:12
IamanonIamanon
1328
1328
1
$begingroup$
Let $$C = begin{bmatrix}c_1 & 0 & dots & 0\0 & c_2 & dots & 0 \vdots & vdots &ddots& vdots\0&0&dots&c_qend{bmatrix}$$ Then $$X = ACB^T$$
$endgroup$
– Paul Sinclair
Jan 30 at 3:20
add a comment |
1
$begingroup$
Let $$C = begin{bmatrix}c_1 & 0 & dots & 0\0 & c_2 & dots & 0 \vdots & vdots &ddots& vdots\0&0&dots&c_qend{bmatrix}$$ Then $$X = ACB^T$$
$endgroup$
– Paul Sinclair
Jan 30 at 3:20
1
1
$begingroup$
Let $$C = begin{bmatrix}c_1 & 0 & dots & 0\0 & c_2 & dots & 0 \vdots & vdots &ddots& vdots\0&0&dots&c_qend{bmatrix}$$ Then $$X = ACB^T$$
$endgroup$
– Paul Sinclair
Jan 30 at 3:20
$begingroup$
Let $$C = begin{bmatrix}c_1 & 0 & dots & 0\0 & c_2 & dots & 0 \vdots & vdots &ddots& vdots\0&0&dots&c_qend{bmatrix}$$ Then $$X = ACB^T$$
$endgroup$
– Paul Sinclair
Jan 30 at 3:20
add a comment |
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1
$begingroup$
Let $$C = begin{bmatrix}c_1 & 0 & dots & 0\0 & c_2 & dots & 0 \vdots & vdots &ddots& vdots\0&0&dots&c_qend{bmatrix}$$ Then $$X = ACB^T$$
$endgroup$
– Paul Sinclair
Jan 30 at 3:20