Numerical Analy Fo Comput Meth for Analy

Catalog description

A graduate level introduction to numerical algorithms for linear algebra problems with applications to data analytics. Algorithms will be studied and analyzed for efficiency and accuracy. Topics include Singular Value Decomposition, QR factorization, Least Squares, Conditioning and Stability, Systems of Equations, Eigenvalues and Eigenvalue algorithms and Iterative methods.