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You searched for +publisher:"Colorado State University" +contributor:("Bohm, A. P. Willem"). Showing records 1 – 5 of 5 total matches.

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Colorado State University

1. Zou, Yun. Automatic parallelization of "inherently" sequential nested loop programs.

Degree: MS(M.S.), Computer Science, 2011, Colorado State University

 Most automatic parallelizers are based on detection of independent operations, and most of them cannot do anything if there is a true dependence between operations.… (more)

Subjects/Keywords: scan and reduction; recurrence equations; semiring; automatic parallelization; polyhedral model

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APA (6th Edition):

Zou, Y. (2011). Automatic parallelization of "inherently" sequential nested loop programs. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/70841

Chicago Manual of Style (16th Edition):

Zou, Yun. “Automatic parallelization of "inherently" sequential nested loop programs.” 2011. Masters Thesis, Colorado State University. Accessed February 27, 2021. http://hdl.handle.net/10217/70841.

MLA Handbook (7th Edition):

Zou, Yun. “Automatic parallelization of "inherently" sequential nested loop programs.” 2011. Web. 27 Feb 2021.

Vancouver:

Zou Y. Automatic parallelization of "inherently" sequential nested loop programs. [Internet] [Masters thesis]. Colorado State University; 2011. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10217/70841.

Council of Science Editors:

Zou Y. Automatic parallelization of "inherently" sequential nested loop programs. [Masters Thesis]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/70841


Colorado State University

2. Woo, Sung-Whan. Simple and dynamic data structure for pattern matching in texts, A.

Degree: PhD, Computer Science, 2011, Colorado State University

 The demand for a pattern matching algorithm is currently on the rise from diverse areas such as string search, image matching, voice recognition and bioinformatics.… (more)

Subjects/Keywords: data structure; string searching; pattern matching; dynamic string matching

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APA (6th Edition):

Woo, S. (2011). Simple and dynamic data structure for pattern matching in texts, A. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/48169

Chicago Manual of Style (16th Edition):

Woo, Sung-Whan. “Simple and dynamic data structure for pattern matching in texts, A.” 2011. Doctoral Dissertation, Colorado State University. Accessed February 27, 2021. http://hdl.handle.net/10217/48169.

MLA Handbook (7th Edition):

Woo, Sung-Whan. “Simple and dynamic data structure for pattern matching in texts, A.” 2011. Web. 27 Feb 2021.

Vancouver:

Woo S. Simple and dynamic data structure for pattern matching in texts, A. [Internet] [Doctoral dissertation]. Colorado State University; 2011. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10217/48169.

Council of Science Editors:

Woo S. Simple and dynamic data structure for pattern matching in texts, A. [Doctoral Dissertation]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/48169


Colorado State University

3. Sutton, Andrew M. Analysis of combinatorial search spaces for a class of NP-hard problems, An.

Degree: PhD, Computer Science, 2011, Colorado State University

 Given a finite but very large set of states X and a real-valued objective function ƒ defined on X, combinatorial optimization refers to the problem… (more)

Subjects/Keywords: combinatorial optimization; combinatorial search; local search; pseudo-Boolean functions; search space analysis

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APA (6th Edition):

Sutton, A. M. (2011). Analysis of combinatorial search spaces for a class of NP-hard problems, An. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/50161

Chicago Manual of Style (16th Edition):

Sutton, Andrew M. “Analysis of combinatorial search spaces for a class of NP-hard problems, An.” 2011. Doctoral Dissertation, Colorado State University. Accessed February 27, 2021. http://hdl.handle.net/10217/50161.

MLA Handbook (7th Edition):

Sutton, Andrew M. “Analysis of combinatorial search spaces for a class of NP-hard problems, An.” 2011. Web. 27 Feb 2021.

Vancouver:

Sutton AM. Analysis of combinatorial search spaces for a class of NP-hard problems, An. [Internet] [Doctoral dissertation]. Colorado State University; 2011. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10217/50161.

Council of Science Editors:

Sutton AM. Analysis of combinatorial search spaces for a class of NP-hard problems, An. [Doctoral Dissertation]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/50161

4. Malensek, Matthew. Low-latency, query-driven analytics over voluminous multidimensional, spatiotemporal datasets.

Degree: PhD, Computer Science, 2017, Colorado State University

 Ubiquitous data collection from sources such as remote sensing equipment, networked observational devices, location-based services, and sales tracking has led to the accumulation of voluminous… (more)

Subjects/Keywords: big data; analytic queries; distributed systems

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APA (6th Edition):

Malensek, M. (2017). Low-latency, query-driven analytics over voluminous multidimensional, spatiotemporal datasets. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/183998

Chicago Manual of Style (16th Edition):

Malensek, Matthew. “Low-latency, query-driven analytics over voluminous multidimensional, spatiotemporal datasets.” 2017. Doctoral Dissertation, Colorado State University. Accessed February 27, 2021. http://hdl.handle.net/10217/183998.

MLA Handbook (7th Edition):

Malensek, Matthew. “Low-latency, query-driven analytics over voluminous multidimensional, spatiotemporal datasets.” 2017. Web. 27 Feb 2021.

Vancouver:

Malensek M. Low-latency, query-driven analytics over voluminous multidimensional, spatiotemporal datasets. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10217/183998.

Council of Science Editors:

Malensek M. Low-latency, query-driven analytics over voluminous multidimensional, spatiotemporal datasets. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/183998


Colorado State University

5. Pathan, Tanveer. RNA secondary structure prediction using AlphaZ.

Degree: MS(M.S.), Electrical and Computer Engineering, 2010, Colorado State University

 Optimizing complex algorithms using conventional programming languages can be a difficult task. The performance aspect of such implementations relies on the programmer and the target… (more)

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APA (6th Edition):

Pathan, T. (2010). RNA secondary structure prediction using AlphaZ. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/68389

Chicago Manual of Style (16th Edition):

Pathan, Tanveer. “RNA secondary structure prediction using AlphaZ.” 2010. Masters Thesis, Colorado State University. Accessed February 27, 2021. http://hdl.handle.net/10217/68389.

MLA Handbook (7th Edition):

Pathan, Tanveer. “RNA secondary structure prediction using AlphaZ.” 2010. Web. 27 Feb 2021.

Vancouver:

Pathan T. RNA secondary structure prediction using AlphaZ. [Internet] [Masters thesis]. Colorado State University; 2010. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10217/68389.

Council of Science Editors:

Pathan T. RNA secondary structure prediction using AlphaZ. [Masters Thesis]. Colorado State University; 2010. Available from: http://hdl.handle.net/10217/68389

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