Function to Compute an Orthogonal Projection Matrix Based on an Arbitrary MatrixKlaus Nordhausen
The program produces an image of the intensity field at the end of the sample. Additionally, intensity slices along the horizontal and diagonal are plotted, as well as a projection of the director field at the top of the sample onto the xy plane. Mechanical actuation The mechanical actuation ...
For any k there exists a best polynomial approximation ˆ y =P k−1 (A)x of degree at most k−1, which is the orthogonal projection of f (A)x on the Krylov subspace K k (A, x) = span(x, Ax, . . . , A k−1 x). An orthonormal basis V k = (v 1 , . . . ...
The initial approximate bounding box A is computed in the orthogonal frame [x,y,z] A first optional optimization loop is performed (parameter mvbbDiamOptLoops specifies how many loops) by computing the minimal volume bounding box over a direction t where the direction t is choosen sequentially...
Function to Compute the Distances Between Orthogonal Projection MatricesEero LiskiKlaus Nordhausen
A novel method and apparatus for determining geolocation of a mobile transmitter is provided. The apparatus and the method utilize an orthogonal projection of a source signal to canceling interference from the source signal in the geolocation process.doi:US6750818 B2John K. ThomasAnand P. Narayan...
If we let Vq denote the orthogonal projection onto the normal direction, we find for q ∈Σ ∂c = ‖Dqc(q)‖ −1 VqDq with Dq = (∂ q 1,...,∂q m)T . This result is known due to =-=[10]-=-. Here it appears rather naturally; the reason is that Dq provides the ...
If we let Vq denote the orthogonal projection onto the normal direction, we find for q ∈Σ ∂c = ‖Dqc(q)‖ −1 VqDq with Dq = (∂ q 1,...,∂q m)T . This result is known due to =-=[10]-=-. Here it appears rather naturally; the reason is that Dq provides the ...
If we let Vq denote the orthogonal projection onto the normal direction, we find for q ∈Σ ∂c = ‖Dqc(q)‖ −1 VqDq with Dq = (∂ q 1,...,∂q m)T . This result is known due to =-=[10]-=-. Here it appears rather naturally; the reason is that Dq provides the ...
projectionmatricesWe give a computationally fast method for orthogonal loadings partial least squares. Our algorithm avoids the multiple regression computations at each step and yields identical scores and loadings to the usual method. We give a proof of the equivalence to the standard algorithm. ...