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You searched for `+publisher:"University of Colorado" +contributor:("Francois Meyer")`

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University of Colorado

1. Bertrand, Nicholas. Sparse Encoding of Observations from a Smooth Manifold via Locally Linear Approximations.

Degree: MS, Applied Mathematics, 2012, University of Colorado

URL: https://scholar.colorado.edu/appm_gradetds/55

► We investigate the problem of finding a parameterization of a smooth, low-dimensional manifold based on noisy observations from a high-dimensional ambient space. The formulation…
(more)

Subjects/Keywords: k-svd algorithm; MLBF; Applied Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Bertrand, N. (2012). Sparse Encoding of Observations from a Smooth Manifold via Locally Linear Approximations. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/55

Chicago Manual of Style (16^{th} Edition):

Bertrand, Nicholas. “Sparse Encoding of Observations from a Smooth Manifold via Locally Linear Approximations.” 2012. Masters Thesis, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/55.

MLA Handbook (7^{th} Edition):

Bertrand, Nicholas. “Sparse Encoding of Observations from a Smooth Manifold via Locally Linear Approximations.” 2012. Web. 25 Jan 2021.

Vancouver:

Bertrand N. Sparse Encoding of Observations from a Smooth Manifold via Locally Linear Approximations. [Internet] [Masters thesis]. University of Colorado; 2012. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/55.

Council of Science Editors:

Bertrand N. Sparse Encoding of Observations from a Smooth Manifold via Locally Linear Approximations. [Masters Thesis]. University of Colorado; 2012. Available from: https://scholar.colorado.edu/appm_gradetds/55

University of Colorado

2. Feeney, Daniel Francis. The Coordination of Movement from Motor Units to Muscle Synergies.

Degree: PhD, 2018, University of Colorado

URL: https://scholar.colorado.edu/iphy_gradetds/80

► This dissertation comprises computational and experimental studies that examined the neuromuscular factors underlying differences in manual dexterity and mobility in health and disease. The…
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Subjects/Keywords: computational model; motor unit; pid controller; synergies; muscle synergy; Biomedical Engineering and Bioengineering; Neurosciences; Physiology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Feeney, D. F. (2018). The Coordination of Movement from Motor Units to Muscle Synergies. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/iphy_gradetds/80

Chicago Manual of Style (16^{th} Edition):

Feeney, Daniel Francis. “The Coordination of Movement from Motor Units to Muscle Synergies.” 2018. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/iphy_gradetds/80.

MLA Handbook (7^{th} Edition):

Feeney, Daniel Francis. “The Coordination of Movement from Motor Units to Muscle Synergies.” 2018. Web. 25 Jan 2021.

Vancouver:

Feeney DF. The Coordination of Movement from Motor Units to Muscle Synergies. [Internet] [Doctoral dissertation]. University of Colorado; 2018. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/iphy_gradetds/80.

Council of Science Editors:

Feeney DF. The Coordination of Movement from Motor Units to Muscle Synergies. [Doctoral Dissertation]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/iphy_gradetds/80

University of Colorado

3. Qi, Hanchao. Low-Dimensional Signal Models in Compressive Sensing.

Degree: PhD, Electrical, Computer & Energy Engineering, 2013, University of Colorado

URL: https://scholar.colorado.edu/ecen_gradetds/68

► In today's world, we often face an explosion of data that can be difficult to handle. Signal models help make this data tractable, and…
(more)

Subjects/Keywords: algorithms; compressive sensing; nonlinear manifolds; high-dimensional signals; Electrical and Computer Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Qi, H. (2013). Low-Dimensional Signal Models in Compressive Sensing. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/ecen_gradetds/68

Chicago Manual of Style (16^{th} Edition):

Qi, Hanchao. “Low-Dimensional Signal Models in Compressive Sensing.” 2013. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/ecen_gradetds/68.

MLA Handbook (7^{th} Edition):

Qi, Hanchao. “Low-Dimensional Signal Models in Compressive Sensing.” 2013. Web. 25 Jan 2021.

Vancouver:

Qi H. Low-Dimensional Signal Models in Compressive Sensing. [Internet] [Doctoral dissertation]. University of Colorado; 2013. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/ecen_gradetds/68.

Council of Science Editors:

Qi H. Low-Dimensional Signal Models in Compressive Sensing. [Doctoral Dissertation]. University of Colorado; 2013. Available from: https://scholar.colorado.edu/ecen_gradetds/68

University of Colorado

4. Reynolds, Matthew Jason. Nonlinear approximations in tomography, quadrature construction, and multivariate reductions.

Degree: PhD, Applied Mathematics, 2012, University of Colorado

URL: https://scholar.colorado.edu/appm_gradetds/37

► This thesis consists of contributions to three topics: algorithms for computing generalized Gaussian quadratures, tomographic imaging algorithms, and reduction algorithms. Our approach is based…
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Subjects/Keywords: Applied Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Reynolds, M. J. (2012). Nonlinear approximations in tomography, quadrature construction, and multivariate reductions. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/37

Chicago Manual of Style (16^{th} Edition):

Reynolds, Matthew Jason. “Nonlinear approximations in tomography, quadrature construction, and multivariate reductions.” 2012. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/37.

MLA Handbook (7^{th} Edition):

Reynolds, Matthew Jason. “Nonlinear approximations in tomography, quadrature construction, and multivariate reductions.” 2012. Web. 25 Jan 2021.

Vancouver:

Reynolds MJ. Nonlinear approximations in tomography, quadrature construction, and multivariate reductions. [Internet] [Doctoral dissertation]. University of Colorado; 2012. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/37.

Council of Science Editors:

Reynolds MJ. Nonlinear approximations in tomography, quadrature construction, and multivariate reductions. [Doctoral Dissertation]. University of Colorado; 2012. Available from: https://scholar.colorado.edu/appm_gradetds/37

University of Colorado

5. Martin, Bradley Pifer. Application of Rbf-Fd to Wave and Heat Transport Problems in Domains with Interfaces.

Degree: PhD, Applied Mathematics, 2016, University of Colorado

URL: https://scholar.colorado.edu/appm_gradetds/79

► Traditional finite difference methods for solving the partial differential equations (PDEs) associated with wave and heat transport often perform poorly when used in domains…
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Subjects/Keywords: finite differences; heat equation; interfaces; mesh free; RBF; wave equation; Applied Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Martin, B. P. (2016). Application of Rbf-Fd to Wave and Heat Transport Problems in Domains with Interfaces. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/79

Chicago Manual of Style (16^{th} Edition):

Martin, Bradley Pifer. “Application of Rbf-Fd to Wave and Heat Transport Problems in Domains with Interfaces.” 2016. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/79.

MLA Handbook (7^{th} Edition):

Martin, Bradley Pifer. “Application of Rbf-Fd to Wave and Heat Transport Problems in Domains with Interfaces.” 2016. Web. 25 Jan 2021.

Vancouver:

Martin BP. Application of Rbf-Fd to Wave and Heat Transport Problems in Domains with Interfaces. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/79.

Council of Science Editors:

Martin BP. Application of Rbf-Fd to Wave and Heat Transport Problems in Domains with Interfaces. [Doctoral Dissertation]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/appm_gradetds/79

University of Colorado

6. Fox, Alyson Lindsey. Algebraic Multigrid(amg) for Graph Laplacian Linear Systems: Extensions of Amg for Signed, Undirected and Unsigned, Directed Graphs.

Degree: PhD, Applied Mathematics, 2017, University of Colorado

URL: https://scholar.colorado.edu/appm_gradetds/96

► Relational datasets are often modeled as an unsigned, undirected graph due the nice properties of the resulting graph Laplacian, but information is lost if…
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Subjects/Keywords: Algebraic Multigrid; Directed graphs; Graph Laplacians; Gremban's expansion; Signed graphs; Applied Mechanics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Fox, A. L. (2017). Algebraic Multigrid(amg) for Graph Laplacian Linear Systems: Extensions of Amg for Signed, Undirected and Unsigned, Directed Graphs. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/96

Chicago Manual of Style (16^{th} Edition):

Fox, Alyson Lindsey. “Algebraic Multigrid(amg) for Graph Laplacian Linear Systems: Extensions of Amg for Signed, Undirected and Unsigned, Directed Graphs.” 2017. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/96.

MLA Handbook (7^{th} Edition):

Fox, Alyson Lindsey. “Algebraic Multigrid(amg) for Graph Laplacian Linear Systems: Extensions of Amg for Signed, Undirected and Unsigned, Directed Graphs.” 2017. Web. 25 Jan 2021.

Vancouver:

Fox AL. Algebraic Multigrid(amg) for Graph Laplacian Linear Systems: Extensions of Amg for Signed, Undirected and Unsigned, Directed Graphs. [Internet] [Doctoral dissertation]. University of Colorado; 2017. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/96.

Council of Science Editors:

Fox AL. Algebraic Multigrid(amg) for Graph Laplacian Linear Systems: Extensions of Amg for Signed, Undirected and Unsigned, Directed Graphs. [Doctoral Dissertation]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/appm_gradetds/96

University of Colorado

7. Brutz, Michael Joseph. Mathematical Modelling and Analysis of Several Diffusive Processes.

Degree: PhD, Applied Mathematics, 2014, University of Colorado

URL: https://scholar.colorado.edu/appm_gradetds/60

► The underlying theme of this research is using numerical methods to develop computationally efficient algorithms for three separate problems driven by diffusive processes. The…
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Subjects/Keywords: community; glacier; multiscale; network; flow; particle tracking; Applied Mathematics

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Brutz, M. J. (2014). Mathematical Modelling and Analysis of Several Diffusive Processes. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/60

Chicago Manual of Style (16^{th} Edition):

Brutz, Michael Joseph. “Mathematical Modelling and Analysis of Several Diffusive Processes.” 2014. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/60.

MLA Handbook (7^{th} Edition):

Brutz, Michael Joseph. “Mathematical Modelling and Analysis of Several Diffusive Processes.” 2014. Web. 25 Jan 2021.

Vancouver:

Brutz MJ. Mathematical Modelling and Analysis of Several Diffusive Processes. [Internet] [Doctoral dissertation]. University of Colorado; 2014. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/60.

Council of Science Editors:

Brutz MJ. Mathematical Modelling and Analysis of Several Diffusive Processes. [Doctoral Dissertation]. University of Colorado; 2014. Available from: https://scholar.colorado.edu/appm_gradetds/60

University of Colorado

8. Jennings, Dale Kurtis. Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks.

Degree: PhD, Applied Mathematics, 2016, University of Colorado

URL: https://scholar.colorado.edu/appm_gradetds/81

► Markov Chain Monte Carlo (MCMC) methods are a class of algorithms for sampling from a desired probability distribution. While there exist many algorithms that attempt…
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Subjects/Keywords: Applied Probability; Bayesian Networks; Birth and Death Process; Kac Model; MCMC; Particle Filtering; Applied Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Jennings, D. K. (2016). Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/81

Chicago Manual of Style (16^{th} Edition):

Jennings, Dale Kurtis. “Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks.” 2016. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/81.

MLA Handbook (7^{th} Edition):

Jennings, Dale Kurtis. “Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks.” 2016. Web. 25 Jan 2021.

Vancouver:

Jennings DK. Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/81.

Council of Science Editors:

Jennings DK. Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks. [Doctoral Dissertation]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/appm_gradetds/81