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MATH-4840: Numerical Linear Algebra with Applications
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< meta property = "og:description" content = "The focus of the course is on fundamental algorithms in computational linear algebra and their applications in science and engineering. These algorithms involve QR and SVD factorizations, the computation of eigenvalues and eigenvectors, basic optimization methods, and iterative methods for sparse systems. Applications will be considered in areas such as data analysis and compression, principal component and spectral analysis, solutions of large sparse systems, among others." >
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Numerical Linear Algebra with Applications
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MATH-4840
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The focus of the course is on fundamental algorithms in computational linear algebra and their applications in science and engineering. These algorithms involve QR and SVD factorizations, the computation of eigenvalues and eigenvectors, basic optimization methods, and iterative methods for sparse systems. Applications will be considered in areas such as data analysis and compression, principal component and spectral analysis, solutions of large sparse systems, among others.
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4 credits
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Prereqs:
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one of:
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< a class = "course-pill" href = "MATH-4800.html" > MATH-4800 Numerical Computing< / a >
< a class = "course-pill" href = "CSCI-4800.html" > CSCI-4800 Numerical Computing< / a >
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< th class = "spring season-label" > Spring< / th >
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< th class = "fall season-label" > Fall< / th >
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Numerical Linear Algebra Apps (4c)
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< li > Mark H Holmes< / li >
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Seats Taken: 32/35
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Numerical Linear Algebra Apps (4c)
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< li > Mark H Holmes< / li >
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Seats Taken: 42/70
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Numerical Linear Algebra With Applications (4c)
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< li > Mark H Holmes< / li >
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Seats Taken: 49/60
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Numerical Linear Algebra With Applications (4c)
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Seats Taken: 45/50
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