Numerical Analysis


Error analysis, interpolation and spline approximation, numerical differentiation and integration, solutions of linear systems, nonlinear equations, and ordinary differential equations. Prerequisites: knowledge of an algorithmic programming language, intermediate calculus including some differential equations, and Mathematics 221.
Curriculum Codes
  • R
  • QS
Cross-Listed As
  • MATH 565D
  • STA 612D
Typically Offered
Spring Only