Associate Professor
(205) 934-2154
University Hall 4010
Research and Teaching Interests: Computational Mathematics, Numerical Analysis, Optimization, Multilinear and Linear Algebra and Control Theory.
Office Hours: Mon 11:00am-1:00pm, Wed 11:00am-1:00pm and by appt
Education:
- B.S., University of California at Berkeley, Mathematics
- Ph.D., University of California at Davis, Applied Mathematics
After graduate school, I held several postdoctoral positions at University of Waterloo, Canada, UCLA, and Centre National de la Recherche Scientifique, France. Before coming to UAB, I was an assistant professor at Rochester Institute of Technology and Clarkson University in New York.
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Research Interests
Linear and multilinear algebra, numerical linear algebra, data sciences, optimization and control, and partial differential equations.
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Recent Courses
- Calculus
- Introduction to Linear Algebra
- Introduction to Optimization
- Numerical Linear Algebra
- Dynamical Systems
- Scientific Programming
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Select Publications
- C. Navasca and X. Wang. Adaptive Low Rank Approximation of Tensors. 2015 IEEE International Conference on Computer Vision Workshop, 939-45, Santiago, Chile, 2015.
- S. Kindermann and C. Navasca. New Algorithms for Tensor Decomposition based on a Reduced Functional. Numerical Linear Algebra and Applications, 21 (3) (2014), 340-74.
- P. Hopke, N. Li, C. Navasca, K. Pramod, S. Smith and Y. Zhao. Source Apportionment of Time and Size Resolved Ambient Particulate Matter. J. Chemometrics and Intelligent Laboratory Systems, 129 (2013), 15-20.
- S. Kindermann, N. Li and C. Navasca. Some Convergent Results of the Regularized Alternating Least-Squares for Tensor Decomposition. Linear Algebra and Applications, 438 (2) (2013), 796-812.
- M. Brazell, N. Li, C. Navasca, C. Tamon. Solving Multilinear Systems via Tensor Inversion. SIAM Journal on Matrix Analysis and Applications. SIAM Matrix Analysis, 34-2 (2013), 542-70.
- K. Morris and C. Navasca. Approximation of Low Rank Solutions for Linear Quadratic Feedback for Partial Differential Equations. Computational Optimization and Applications, 46 (1) (2010), 93-111.
- Lieven De Lathauwer, C. Navasca and S. Kinderman. Swamp Reducing Technique for Tensor Decomposition. Proceedings of the European Signal Processing Conference, Lausanne, Switzerland, Aug 2008.
- A. Krener and C. Navasca. Patchy Solution of the Hamilton-Jacobi-Bellman PDE, in Chiuso, Ferrante and Pinzoni, eds, Modeling, Estimation and Control, Lecture Notes in Control and Information Sciences, 364, Springer, Berlin, 251-70, 2007.
- C-Y. Kao, C. Navasca and S. Osher. The Lax-Friedrichs SweepingMethod for Optimal Control Problem in Continuous and Hybrid Dynamics. J. Nonlinear Analysis, 63 (5-7), 1561-572, 2005.
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Academic Distinctions & Professional Memberships
- Society for Industrial and Applied Mathematics (SIAM)
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Student Groups
- UAB Chapter of the Society for Industrial and Applied Mathematics (SIAM)