NUMERICAL ANALYSIS

Undergraduate

Approximate solution of equations, various interpolative or iterative methods, especially Newton’s; convergence tests and rates of convergence; roundoff and truncation errors; propagation of error in calculations; interpolating polynomials; Gauss-Jordan and other methods for simultaneous linear equations; inversion of matrices; determinants and eigenvalues; simultaneous nonlinear equations; evaluation of definite integrals; approximate derivatives; initial-value ordinary differential equations; least-squares curve fitting. PREREQUISITE: MATH 3010 and CS 1910 or equivalent Three lecture hours per week