MP 1 by G. Krishnaswami - Chennai Mathematical Institute
... algebra (calculation) and geometry (visualization). It may also be your first encounter with mathematical abstraction, eg. thinking of spaces of vectors rather than single vectors. • The basic objects of linear algebra are (spaces of) vectors, linear transformations between them and their represent ...
... algebra (calculation) and geometry (visualization). It may also be your first encounter with mathematical abstraction, eg. thinking of spaces of vectors rather than single vectors. • The basic objects of linear algebra are (spaces of) vectors, linear transformations between them and their represent ...
Ill--Posed Inverse Problems in Image Processing
... The matrix X containing the SPI has only one nonzero entry (moreover equal to one). Therefore the unfolded X x = vec(X ) = [x1T , . . . , xkT ]T = ej represents an Euclidean vector. The unfolding of the corredponding B (containing the PSF) then represents jth column of A A ej = b = vec(B) = [b1T , . ...
... The matrix X containing the SPI has only one nonzero entry (moreover equal to one). Therefore the unfolded X x = vec(X ) = [x1T , . . . , xkT ]T = ej represents an Euclidean vector. The unfolding of the corredponding B (containing the PSF) then represents jth column of A A ej = b = vec(B) = [b1T , . ...