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Numerical Linear Algebra
MATH 6340
School of Natural Sciences and Mathematics
Topics include direct and iterative methods for solving linear systems; vector and matrix norms; condition numbers; least squares problems; orthogonalization, singular value decomposition; computation of eigenvalues and eigenvectors; conjugate gradients; preconditioners for linear systems; computational cost of algorithms. Topics will be supplemented with programming assignments. 3 credit hours.
Prerequisites: Knowledge of a high-level programming language and linear algebra and numerical analysis or instructor consent required.
Offering Frequency: Each year
Grades: 51
Median GPA: A-
Mean GPA: 3.380
Click a checkbox to add something to compare.
Numerical Linear Algebra
MATH 6340
School of Natural Sciences and Mathematics
Topics include direct and iterative methods for solving linear systems; vector and matrix norms; condition numbers; least squares problems; orthogonalization, singular value decomposition; computation of eigenvalues and eigenvectors; conjugate gradients; preconditioners for linear systems; computational cost of algorithms. Topics will be supplemented with programming assignments. 3 credit hours.
Prerequisites: Knowledge of a high-level programming language and linear algebra and numerical analysis or instructor consent required.
Offering Frequency: Each year
Grades: 51
Median GPA: A-
Mean GPA: 3.380
Click a checkbox to add something to compare.