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University: University of Colorado

You searched for subject:(Scientific computing). Showing records 1 – 11 of 11 total matches.

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University of Colorado

1. Nair, Ramya. Customized Sparse Eigenvalue Solutions in Lighthouse.

Degree: MS, Computer Science, 2014, University of Colorado

  We come across sparse eigenvalue problems in many areas of scientific computing. A variety of high-performance numerical software packages with many different eigensolvers are… (more)

Subjects/Keywords: eigenvalue; scientific computing; Lighthouse; linear algebra; Numerical Analysis and Scientific Computing

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APA (6th Edition):

Nair, R. (2014). Customized Sparse Eigenvalue Solutions in Lighthouse. (Masters Thesis). University of Colorado. Retrieved from http://scholar.colorado.edu/csci_gradetds/89

Chicago Manual of Style (16th Edition):

Nair, Ramya. “Customized Sparse Eigenvalue Solutions in Lighthouse.” 2014. Masters Thesis, University of Colorado. Accessed October 13, 2019. http://scholar.colorado.edu/csci_gradetds/89.

MLA Handbook (7th Edition):

Nair, Ramya. “Customized Sparse Eigenvalue Solutions in Lighthouse.” 2014. Web. 13 Oct 2019.

Vancouver:

Nair R. Customized Sparse Eigenvalue Solutions in Lighthouse. [Internet] [Masters thesis]. University of Colorado; 2014. [cited 2019 Oct 13]. Available from: http://scholar.colorado.edu/csci_gradetds/89.

Council of Science Editors:

Nair R. Customized Sparse Eigenvalue Solutions in Lighthouse. [Masters Thesis]. University of Colorado; 2014. Available from: http://scholar.colorado.edu/csci_gradetds/89


University of Colorado

2. Marshall, Paul D. Large-Scale Elastic Computing with Virtual Machines.

Degree: PhD, Computer Science, 2013, University of Colorado

  Computational resources experience dynamic load because demand is not constant. As a result, resource providers (RPs) must estimate the appropriate amount of resources to… (more)

Subjects/Keywords: elastic computing; scientific computing; virtual machines; Computer Sciences

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APA (6th Edition):

Marshall, P. D. (2013). Large-Scale Elastic Computing with Virtual Machines. (Doctoral Dissertation). University of Colorado. Retrieved from http://scholar.colorado.edu/csci_gradetds/74

Chicago Manual of Style (16th Edition):

Marshall, Paul D. “Large-Scale Elastic Computing with Virtual Machines.” 2013. Doctoral Dissertation, University of Colorado. Accessed October 13, 2019. http://scholar.colorado.edu/csci_gradetds/74.

MLA Handbook (7th Edition):

Marshall, Paul D. “Large-Scale Elastic Computing with Virtual Machines.” 2013. Web. 13 Oct 2019.

Vancouver:

Marshall PD. Large-Scale Elastic Computing with Virtual Machines. [Internet] [Doctoral dissertation]. University of Colorado; 2013. [cited 2019 Oct 13]. Available from: http://scholar.colorado.edu/csci_gradetds/74.

Council of Science Editors:

Marshall PD. Large-Scale Elastic Computing with Virtual Machines. [Doctoral Dissertation]. University of Colorado; 2013. Available from: http://scholar.colorado.edu/csci_gradetds/74


University of Colorado

3. Pieper, Jaden K. Unentangling Quantum Algorithms for Mathematicians and Engineers.

Degree: MS, 2017, University of Colorado

  As industry continues to inspire considerable growth in the research and development of quantum computers, it is increasingly worthwhile to familiarize oneself with the… (more)

Subjects/Keywords: quantum algorithms; quantum computing; mathematics; tool; development; Applied Mathematics; Numerical Analysis and Scientific Computing

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APA (6th Edition):

Pieper, J. K. (2017). Unentangling Quantum Algorithms for Mathematicians and Engineers. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/129

Chicago Manual of Style (16th Edition):

Pieper, Jaden K. “Unentangling Quantum Algorithms for Mathematicians and Engineers.” 2017. Masters Thesis, University of Colorado. Accessed October 13, 2019. https://scholar.colorado.edu/appm_gradetds/129.

MLA Handbook (7th Edition):

Pieper, Jaden K. “Unentangling Quantum Algorithms for Mathematicians and Engineers.” 2017. Web. 13 Oct 2019.

Vancouver:

Pieper JK. Unentangling Quantum Algorithms for Mathematicians and Engineers. [Internet] [Masters thesis]. University of Colorado; 2017. [cited 2019 Oct 13]. Available from: https://scholar.colorado.edu/appm_gradetds/129.

Council of Science Editors:

Pieper JK. Unentangling Quantum Algorithms for Mathematicians and Engineers. [Masters Thesis]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/appm_gradetds/129


University of Colorado

4. Nelson, Thomas Harrison. DSLs and Search for Linear Algebra Performance Optimization.

Degree: PhD, Computer Science, 2015, University of Colorado

  Linear algebra and tensor algebra computations lie on the critical path of many scientific applications. These numerical problems have a mathematical structure that allows… (more)

Subjects/Keywords: Compilers; Linear Algebra; Scientific Computing; high performance; optimization; autotuning; transformations; OCTOPI; performance scaling; Numerical Analysis and Scientific Computing; Programming Languages and Compilers

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APA (6th Edition):

Nelson, T. H. (2015). DSLs and Search for Linear Algebra Performance Optimization. (Doctoral Dissertation). University of Colorado. Retrieved from http://scholar.colorado.edu/csci_gradetds/109

Chicago Manual of Style (16th Edition):

Nelson, Thomas Harrison. “DSLs and Search for Linear Algebra Performance Optimization.” 2015. Doctoral Dissertation, University of Colorado. Accessed October 13, 2019. http://scholar.colorado.edu/csci_gradetds/109.

MLA Handbook (7th Edition):

Nelson, Thomas Harrison. “DSLs and Search for Linear Algebra Performance Optimization.” 2015. Web. 13 Oct 2019.

Vancouver:

Nelson TH. DSLs and Search for Linear Algebra Performance Optimization. [Internet] [Doctoral dissertation]. University of Colorado; 2015. [cited 2019 Oct 13]. Available from: http://scholar.colorado.edu/csci_gradetds/109.

Council of Science Editors:

Nelson TH. DSLs and Search for Linear Algebra Performance Optimization. [Doctoral Dissertation]. University of Colorado; 2015. Available from: http://scholar.colorado.edu/csci_gradetds/109


University of Colorado

5. Schenk, Christopher Brendan. Finding event-specific influencers in dynamic social networks.

Degree: MS, Computer Science, 2010, University of Colorado

  Reputation models are widely in use today in commercial transaction (ebay), product review (amazon, epinions), and news commentary websites (slashdot). The purpose of these… (more)

Subjects/Keywords: dynamics; influencers; reputation; social networks; Computer Sciences; Numerical Analysis and Scientific Computing; OS and Networks

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APA (6th Edition):

Schenk, C. B. (2010). Finding event-specific influencers in dynamic social networks. (Masters Thesis). University of Colorado. Retrieved from http://scholar.colorado.edu/csci_gradetds/6

Chicago Manual of Style (16th Edition):

Schenk, Christopher Brendan. “Finding event-specific influencers in dynamic social networks.” 2010. Masters Thesis, University of Colorado. Accessed October 13, 2019. http://scholar.colorado.edu/csci_gradetds/6.

MLA Handbook (7th Edition):

Schenk, Christopher Brendan. “Finding event-specific influencers in dynamic social networks.” 2010. Web. 13 Oct 2019.

Vancouver:

Schenk CB. Finding event-specific influencers in dynamic social networks. [Internet] [Masters thesis]. University of Colorado; 2010. [cited 2019 Oct 13]. Available from: http://scholar.colorado.edu/csci_gradetds/6.

Council of Science Editors:

Schenk CB. Finding event-specific influencers in dynamic social networks. [Masters Thesis]. University of Colorado; 2010. Available from: http://scholar.colorado.edu/csci_gradetds/6


University of Colorado

6. Young, Li-Yin. Linear Least Squares Problems Solutions in the Lighthouse.

Degree: MS, Computer Science, 2015, University of Colorado

  Linear least squares problems are commonly applied in computations for observational and experimental science. Using LAPACK functions is an efficient way to solve linear… (more)

Subjects/Keywords: Django; LAPACK; linear least squares problems; search engine; Numerical Analysis and Scientific Computing

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APA (6th Edition):

Young, L. (2015). Linear Least Squares Problems Solutions in the Lighthouse. (Masters Thesis). University of Colorado. Retrieved from http://scholar.colorado.edu/csci_gradetds/102

Chicago Manual of Style (16th Edition):

Young, Li-Yin. “Linear Least Squares Problems Solutions in the Lighthouse.” 2015. Masters Thesis, University of Colorado. Accessed October 13, 2019. http://scholar.colorado.edu/csci_gradetds/102.

MLA Handbook (7th Edition):

Young, Li-Yin. “Linear Least Squares Problems Solutions in the Lighthouse.” 2015. Web. 13 Oct 2019.

Vancouver:

Young L. Linear Least Squares Problems Solutions in the Lighthouse. [Internet] [Masters thesis]. University of Colorado; 2015. [cited 2019 Oct 13]. Available from: http://scholar.colorado.edu/csci_gradetds/102.

Council of Science Editors:

Young L. Linear Least Squares Problems Solutions in the Lighthouse. [Masters Thesis]. University of Colorado; 2015. Available from: http://scholar.colorado.edu/csci_gradetds/102


University of Colorado

7. Driggs, Derek T. Optimization for High-Dimensional Data Analysis.

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

 As modern datasets continue to grow in size, they are also growing in complexity. Data are more often being recorded using multiple sensors, creating large,… (more)

Subjects/Keywords: Low-rank regularization; Parallel programming; RPCA; Tensor; Applied Mathematics; Numerical Analysis and Scientific Computing

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APA (6th Edition):

Driggs, D. T. (2017). Optimization for High-Dimensional Data Analysis. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/86

Chicago Manual of Style (16th Edition):

Driggs, Derek T. “Optimization for High-Dimensional Data Analysis.” 2017. Masters Thesis, University of Colorado. Accessed October 13, 2019. https://scholar.colorado.edu/appm_gradetds/86.

MLA Handbook (7th Edition):

Driggs, Derek T. “Optimization for High-Dimensional Data Analysis.” 2017. Web. 13 Oct 2019.

Vancouver:

Driggs DT. Optimization for High-Dimensional Data Analysis. [Internet] [Masters thesis]. University of Colorado; 2017. [cited 2019 Oct 13]. Available from: https://scholar.colorado.edu/appm_gradetds/86.

Council of Science Editors:

Driggs DT. Optimization for High-Dimensional Data Analysis. [Masters Thesis]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/appm_gradetds/86


University of Colorado

8. Jeong, Jaeheon. A Divide-and-Conquer Approach for Visual Odometry with Minimally-Overlapped Multi-Camera Setup.

Degree: PhD, Computer Science, 2014, University of Colorado

  Pose estimation of a moving camera rig from the images alone has been investigated by the computer vision community for decades, because the location… (more)

Subjects/Keywords: camera setup; 3D reconstruction; mono view; stereo view; multi-camera; bundle adjustment; Numerical Analysis and Scientific Computing; Theory and Algorithms

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APA (6th Edition):

Jeong, J. (2014). A Divide-and-Conquer Approach for Visual Odometry with Minimally-Overlapped Multi-Camera Setup. (Doctoral Dissertation). University of Colorado. Retrieved from http://scholar.colorado.edu/csci_gradetds/88

Chicago Manual of Style (16th Edition):

Jeong, Jaeheon. “A Divide-and-Conquer Approach for Visual Odometry with Minimally-Overlapped Multi-Camera Setup.” 2014. Doctoral Dissertation, University of Colorado. Accessed October 13, 2019. http://scholar.colorado.edu/csci_gradetds/88.

MLA Handbook (7th Edition):

Jeong, Jaeheon. “A Divide-and-Conquer Approach for Visual Odometry with Minimally-Overlapped Multi-Camera Setup.” 2014. Web. 13 Oct 2019.

Vancouver:

Jeong J. A Divide-and-Conquer Approach for Visual Odometry with Minimally-Overlapped Multi-Camera Setup. [Internet] [Doctoral dissertation]. University of Colorado; 2014. [cited 2019 Oct 13]. Available from: http://scholar.colorado.edu/csci_gradetds/88.

Council of Science Editors:

Jeong J. A Divide-and-Conquer Approach for Visual Odometry with Minimally-Overlapped Multi-Camera Setup. [Doctoral Dissertation]. University of Colorado; 2014. Available from: http://scholar.colorado.edu/csci_gradetds/88


University of Colorado

9. Robbins-Pianka, Adam. Advanced Computational Tools for Analyzing Microbial Communities for Energy Production Environments.

Degree: PhD, Computer Science, 2015, University of Colorado

  The research objective of this thesis is to develop and apply new computational tools and techniques in order to potentiate and expand the utility… (more)

Subjects/Keywords: algae; biofuels; deepwater; oil; qiime; qiita; Environmental Microbiology and Microbial Ecology; Numerical Analysis and Scientific Computing; Population Biology

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APA (6th Edition):

Robbins-Pianka, A. (2015). Advanced Computational Tools for Analyzing Microbial Communities for Energy Production Environments. (Doctoral Dissertation). University of Colorado. Retrieved from http://scholar.colorado.edu/csci_gradetds/105

Chicago Manual of Style (16th Edition):

Robbins-Pianka, Adam. “Advanced Computational Tools for Analyzing Microbial Communities for Energy Production Environments.” 2015. Doctoral Dissertation, University of Colorado. Accessed October 13, 2019. http://scholar.colorado.edu/csci_gradetds/105.

MLA Handbook (7th Edition):

Robbins-Pianka, Adam. “Advanced Computational Tools for Analyzing Microbial Communities for Energy Production Environments.” 2015. Web. 13 Oct 2019.

Vancouver:

Robbins-Pianka A. Advanced Computational Tools for Analyzing Microbial Communities for Energy Production Environments. [Internet] [Doctoral dissertation]. University of Colorado; 2015. [cited 2019 Oct 13]. Available from: http://scholar.colorado.edu/csci_gradetds/105.

Council of Science Editors:

Robbins-Pianka A. Advanced Computational Tools for Analyzing Microbial Communities for Energy Production Environments. [Doctoral Dissertation]. University of Colorado; 2015. Available from: http://scholar.colorado.edu/csci_gradetds/105


University of Colorado

10. Milroy, Daniel John. Refining The Composition of CESM-ECT Ensembles.

Degree: MS, Computer Science, 2015, University of Colorado

  Complex, modular codes such as climate simulations are in a constant state of development, requiring frequent verification. Historically, this process has been computationally expensive… (more)

Subjects/Keywords: CESM; climate change; code modification; consistency test; ensemble method; statistical distinguishability; Numerical Analysis and Scientific Computing; Statistical Models

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APA (6th Edition):

Milroy, D. J. (2015). Refining The Composition of CESM-ECT Ensembles. (Masters Thesis). University of Colorado. Retrieved from http://scholar.colorado.edu/csci_gradetds/110

Chicago Manual of Style (16th Edition):

Milroy, Daniel John. “Refining The Composition of CESM-ECT Ensembles.” 2015. Masters Thesis, University of Colorado. Accessed October 13, 2019. http://scholar.colorado.edu/csci_gradetds/110.

MLA Handbook (7th Edition):

Milroy, Daniel John. “Refining The Composition of CESM-ECT Ensembles.” 2015. Web. 13 Oct 2019.

Vancouver:

Milroy DJ. Refining The Composition of CESM-ECT Ensembles. [Internet] [Masters thesis]. University of Colorado; 2015. [cited 2019 Oct 13]. Available from: http://scholar.colorado.edu/csci_gradetds/110.

Council of Science Editors:

Milroy DJ. Refining The Composition of CESM-ECT Ensembles. [Masters Thesis]. University of Colorado; 2015. Available from: http://scholar.colorado.edu/csci_gradetds/110


University of Colorado

11. Kong, Fande. A Parallel Implicit Fluid-structure Interaction Solver with Isogeometric Coarse Spaces for 3D Unstructured Mesh Problems with Complex Geometry.

Degree: PhD, Computer Science, 2016, University of Colorado

  High-resolution simulation of fluid-structure interaction (FSI) problems on supercomputers has many applications including our targeting application in hemodynamics, but most existing methods and software… (more)

Subjects/Keywords: Finite element method; Fluid-structure interaction; Mesh coarsening algorithm; Multilevel Schwarz preconditioner; Newton-Krylov-Schwarz; Parallel software development; Numerical Analysis and Scientific Computing; Partial Differential Equations

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APA (6th Edition):

Kong, F. (2016). A Parallel Implicit Fluid-structure Interaction Solver with Isogeometric Coarse Spaces for 3D Unstructured Mesh Problems with Complex Geometry. (Doctoral Dissertation). University of Colorado. Retrieved from http://scholar.colorado.edu/csci_gradetds/119

Chicago Manual of Style (16th Edition):

Kong, Fande. “A Parallel Implicit Fluid-structure Interaction Solver with Isogeometric Coarse Spaces for 3D Unstructured Mesh Problems with Complex Geometry.” 2016. Doctoral Dissertation, University of Colorado. Accessed October 13, 2019. http://scholar.colorado.edu/csci_gradetds/119.

MLA Handbook (7th Edition):

Kong, Fande. “A Parallel Implicit Fluid-structure Interaction Solver with Isogeometric Coarse Spaces for 3D Unstructured Mesh Problems with Complex Geometry.” 2016. Web. 13 Oct 2019.

Vancouver:

Kong F. A Parallel Implicit Fluid-structure Interaction Solver with Isogeometric Coarse Spaces for 3D Unstructured Mesh Problems with Complex Geometry. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2019 Oct 13]. Available from: http://scholar.colorado.edu/csci_gradetds/119.

Council of Science Editors:

Kong F. A Parallel Implicit Fluid-structure Interaction Solver with Isogeometric Coarse Spaces for 3D Unstructured Mesh Problems with Complex Geometry. [Doctoral Dissertation]. University of Colorado; 2016. Available from: http://scholar.colorado.edu/csci_gradetds/119

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