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MATH 5840: Numerical Analysis:Systems and Optimization
3.00 Credits
University of Minnesota-Crookston
Solution of systems of linear equations; elimination and factorization methods; iterative methods; error analysis; eigenvalue/eigenvector approximation; unconstrained optimization; nonlinear least squares. (offered alt yrs)
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MATH 5840 - Numerical Analysis:Systems and Optimization
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MATH 5850: Numerical Differential Equations
3.00 Credits
University of Minnesota-Crookston
Computational differencing techniques as applied to initial- and boundary-value problems. Introduction to variational formulations of differential equations and general technique of weighed residuals.
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MATH 5850 - Numerical Differential Equations
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MATH 5900: Team Modeling Project
3.00 Credits
University of Minnesota-Crookston
Team-based, model-design project. Applications and methods vary. (offered alt yrs)
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MATH 5900 - Team Modeling Project
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MATH 5991: Independent Study
3.00 Credits
University of Minnesota-Crookston
Directed individual reading and/or research in mathematics; must be arranged with instructor and department head before registration.
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MATH 5991 - Independent Study
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MATH 5995: Special Topics
3.00 Credits
University of Minnesota-Crookston
Topics not available in standard curriculum.
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MATH 5995 - Special Topics
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MATH 8201: Real Analysis
3.00 Credits
University of Minnesota-Crookston
Rigorous development of abstract measure spaces, measurable functions, and corresponding theory of integration. Lebesgue measure and Lebesgue integral developed as a particular model. (offered alt yrs)
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MATH 8201 - Real Analysis
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MATH 8333: FTE:Master's
3.00 Credits
University of Minnesota-Crookston
(1 cr; SP-Master's studentadviser and DGS consent)
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MATH 8333 - FTE:Master's
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MATH 8777: Thesis Credits:Master's
1.00 - 18.00 Credits
University of Minnesota-Crookston
(1-18 cr [max 50 cr]; SP-Max 18 cr per semester or summer; 10 cr total required [Plan A only])
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MATH 8777 - Thesis Credits:Master's
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MATH 8811: Mathematics Seminar
3.00 Credits
University of Minnesota-Crookston
Applications of mathematical and computational modeling methods; high-performance computation, visualization, and modeling techniques. Case-study analyses of models from areas such as the sciences, medicine, engineering, and industry.
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MATH 8811 - Mathematics Seminar
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MATH 8870: Scientific Computation:Vector Processing
3.00 Credits
University of Minnesota-Crookston
(3 cr; QP-5534, CS 5510; SP-5840 or #; prev exper with comparch, FORTRAN programming desirable) Vector architecture; performance measures and modeling; benchmarking procedures; vector algorithms; codeoptimization techniques; survey of applications. (offered alt yrs)
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MATH 8870 - Scientific Computation:Vector Processing
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