Question

QUESTION 13 Linear algebra is important in which of the following applications? (you can select more than one) Robotics 3D graphics Image and signal processing Machine learning and computer vision Information tasks such as compression, error correction and cryptography QUESTION 14 Matrix multiplication corresponds to Composition of affine functions OComposition of non-linear functions Composition of linear functions Multiplication of two vectors QUESTION 15 The inverse of a square matrix M (if it exists) is O The unique matrix N such that Mi -Ni for all i O The matrix M-? such that M-1M-1 The matrix MI nothing. It never exists for square matrices

Answer 1

linear algebra is important in Image and signal processing and also machine learning and computer vision

Matrix multilpication corresponds to composition of linear functions

The inverse of Matrix M is

linear algebra is important in Image and signal processing and also machine learning and computer vision Matrix multilpication corresponds to composition of linear functions The inverse of Matrix M is The matrix M^-1 such that M^-1 M = 1