MATH589A
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MATH589A - Algorithms of Applied Mathematics I
Course Description
Floating point arithmetic. Numerical linear algebra: Singular Value Decomposition, QR and LU factorizations. Eigenvalues and eigenvectors. Systems of non-linear equations: functional iteration, Newton's method. Numerical Differential Equations: basic integration schemes, order of accuracy. Initial Value Problem: Euler method, explicit-implicit methods, stability, Runge-Kutta methods, adaptive step size. Boundary Value Problem: shooting method, quasi-linearization. Other topics as chosen by the instructor.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Attributes
CE - CL (Cross Listed), GIDP - APPL (Applied Mathematics)
Cross Listed Courses
May be convened with
Name
Lecture
Workload Hours
3
Optional Component
No
Typically Offered Main Campus
Fall