MCS 3920
Numerical Analysis
Lec 01 selected
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. Three lecture hours per week
Sections
Lecture
Lec 01
Tue, Thu 10:00-11:15
Syllabus
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