Charles D. Nicholson
- Courses3
- Reviews8
- School: University of Oklahoma
- Campus:
- Department: Engineering
- Email address: Join to see
- Phone: Join to see
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Location:
660 Parrington Oval
Norman, OK - 73019 - Dates at University of Oklahoma: February 2017 - December 2019
- Office Hours: Join to see
Biography
University of Oklahoma - Engineering
Assistant Professor at University of Oklahoma
Research
Charles D.
Nicholson
Norman, Oklahoma
Academia: Specializing in Analytics, Optimization, Network Flows
Industry: Led analytical efforts to support large-scale Marketing initiatives and Business decisions.
Specialties: R, Python, SAS, SQL, Oracle, AMPL, Data Mining, Mathematical Modeling, Optimization, Simulation, C++
Experience
University of Oklahoma
Assistant Professor
School of Industrial and Systems Engineering
Research and teaching interests in Analytics, Simulation, Optimization, and Network Flows
http://ise.ou.eduDeVry University
Professor
Professor in the Game and Simulation Programming department.
Courses taught: Simulation, Discrete Math, Physics, Artificial IntelligenceBlockbuster
Director, Consumer Analysis
Charles worked at Blockbuster as a Director, Consumer Analysis
CN Analytics LLC
Director and Founder
Statistical analysis, optimization modeling, and simulation consulting services
Education
University of North Texas
Masters of Science
Decision Science
Southern Methodist University
PhD
Operations Research / Management Science
Publications
Optimal Flow Analysis and Prediction
To be submitted
Applied statistical learning technique to the fixed charge network flow problem Based on the predictive model, regression based relaxation outperforms linear relaxation, Gurobi.
Optimal Flow Analysis and Prediction
To be submitted
Applied statistical learning technique to the fixed charge network flow problem Based on the predictive model, regression based relaxation outperforms linear relaxation, Gurobi.
Slope Scaling Variable Fixing Heuristic for Mixed Integer Programming.
In process
This paper described a slope scaling variable fixing algorithm to find a good heuristic solution in a short time, and our experiments show that it is competitive with the state-of-the-art MIP solver.
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- Charles D Nicholson (60% Match)
Assistant Professor
University Of Oklahoma - University Of Oklahoma
