- Joined
- 8/26/11
- Messages
- 175
- Points
- 28
Descriptions:
Numerical Linear Algebra:
This course covers linear algebra, with special attention to topics useful in statistical applications. In addition to addressing theoretical and algorithmic aspects of solving systems of linear equations, topics may include least squares, orthogonal projections, positive-definite matrices, quadratic forms, matrix decompositions, and an introduction to vector spaces. Computers are used to study some computational issues and mathematical explorations.
Numerical Analysis:
This course covers direct and iterative methods of solution of linear algebraic equations and eigenvalue problems. Topics include numerical differentiation and quadrature for functions of a single variable, approximation by polynomials and piece-wise polynomial functions, approximate solution of ordinary differential equations, and solution of nonlinear equations.
Numerical Linear Algebra:
This course covers linear algebra, with special attention to topics useful in statistical applications. In addition to addressing theoretical and algorithmic aspects of solving systems of linear equations, topics may include least squares, orthogonal projections, positive-definite matrices, quadratic forms, matrix decompositions, and an introduction to vector spaces. Computers are used to study some computational issues and mathematical explorations.
Numerical Analysis:
This course covers direct and iterative methods of solution of linear algebraic equations and eigenvalue problems. Topics include numerical differentiation and quadrature for functions of a single variable, approximation by polynomials and piece-wise polynomial functions, approximate solution of ordinary differential equations, and solution of nonlinear equations.