Document Type
Syllabus
Description
This course is a survey of numerical methods in linear algebra for application to problems in engineering and the sciences. Emphasis is on using modern software tools on high performance computing systems. This course covers the mathematics of linear equations, eigenvalue problems, singular value decomposition, and least squares. Material covered will be relevant to applications areas such as structural analysis, heat transfer, neural networks, mechanical vibrations, and image processing in biomedical engineering. A familiarity with MATLAB is useful, and the ability to program in languages such as C/C++ or Fortran is very important. A basic knowledge of matrix algebra is required. Four credit hours.
Publication Date
Fall 2010
College
College of Engineering and Computer Science
Department
Computer Engineering
Course Number
CEG 416-01
Comments
Section 01 of CEG 416: Matrix Computations.