Question

With necessary derivations explain about singular value decomposition.

Answer 1

The technique of singular value decomposition, or SVD for short, has a long and somewhat surprising history. It started out in the social sciences with intelligence testing. Early intelligence researchers noted that tests given to measure different aspects of intelligence, such as verbal and spatial, were often closely correlated.  Because of this, they hypothesized that there was a general measure of intelligence in common, which they called “g,” for “general intelligence,” now more commonly known as “I.Q.” So they set about teasing out the different factors that made up intelligence so as to pull out the most important one. If you like it Please mark me as brainliest

Answer 2

Singular Value Decomposition (SVD) is a widely used technique to decompose a matrix into several component matrices, exposing many of the useful and interesting properties of the original matrix.