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

Syllabus

Have the syllabus for MCS 3920? Share it and everyone gets the grading, textbooks and rules.
Termly is not affiliated with University of Prince Edward Island.Buy me a coffee