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DAT 332

Matrix Analysis and Numerical Optimization

University of Illinois Springfield 4 credits DAT

Course Description

This course is an introduction to matrices and numerical optimization with applications in engineering and science. Topics include Algebra of matrices and systems of linear algebraic equations, rank, inverse, eigenvalues, eigenvectors, vector spaces, subspaces, basis, independence, orthogonal projection, determinant, linear programming and other numerical methods. Course Information: Prerequisites: MAT 115 or MAT 113 or equivalent.

Code
DAT 332
Credits
4
Subject
DAT

Programs That Include This Course

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