Examples of using A inverse in English and their translations into Polish
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Computer
What's a inverse?
So a inverse is equal to what?
And so that is a inverse.
So a inverse is equal to-- we could even keep the 1/30 on the outside.
Well, what happens if we knew a inverse?
People also translate
So I multiplied this by a inverse, to get to the identity matrix.
So what if we knew the matrix a inverse?
So A times A inverse should also be equal to the identity matrix.
So if this is a, than this is a inverse.
So first of all, the a inverse is equal to 1 over the determinant of a times the adjoint of this matrix.
If we call this the matrix a, let's figure out a inverse.
So A transpose A inverse becomes the inverse of the k by k identity matrix, which is just the k by k identity matrix.
And so it kind of makes sense that the A inverse wasn't defined.
But what I'm doing from all of these steps, I'm essentially multiplying both sides of this augmented matrix,you could call it, by a inverse.
So on this side, we multiplied a inverse on this side of the equation. So we have to do a inverse on the left side on this side of this equation.
We could just multiply both sides of this equation by a inverse.
But if we know a inverse, and if a inverse exists, then we can multiply both sides-- you can say the left side of both sides of this equation by a inverse. a inverse times a, times the vector x is equal to a inverse times b.
All I did is I took this expression, andI multiplied both sides by a inverse.
And now to solve for x and y,we can multiply both sides of this equation by a inverse.
We already know that the projection onto any subspace V of x is equal to A times A transpose A inverse, times A, times x.
And just as a review, an inverse, if I have a number.
If the determinant does not equal 0,you will be able to find an inverse.
So far we know what an inverse is.
If something is an inverse, it has to satisfy both of these.
I'm assuming that g is an inverse of f.
So g is an inverse of f.
We don't know what causes someone to be able to have an inverse or not, but we know if they have an inverse, how to think about it.
Perhaps even more interesting than finding the inverse of a matrix is trying to determine when an inverse of a matrix doesn't exist.
By definition, by what I just called an inverse, h has to satisfy two requirements.
So hopefully, this second example with the convolution to solve an inverse transform clarified things up a little bit.