MATH-335   Numerical Analysis

Theory and practice of computational procedures including principles of error analysis and scientific computation, root-finding, polynomial interpolation, splines, numerical integration, applications to ordinary differential equations, computational matrix algebra, orthogonal polynomials, least square approximations, and other applications. Also listed as Computer Science 372. Prerequisites: Computer Science 104, 106 or 108 and Mathematics 256.