Some Approaches for Solving the Discretely-Constrained Mixed Complementarity Problem (DC-MCP)
Offered By: GERAD Research Center via YouTube
Course Description
Overview
Explore a 36-minute seminar from the "Un chercheur du GERAD vous parle!" series, presented by Steven A. Gabriel from the University of Maryland. Delve into the world of discretely-constrained mixed complementarity problems (DC-MCP), a class of equilibrium problems combining integer restrictions with MCP systems. Discover the applications of DC-MCP in energy and transportation sectors, considering equity aspects while maintaining player autonomy. Gain insights into both theoretical foundations and numerical results supporting various approaches to solve these challenging problems. Learn about the motivation behind DC-MCP and its significance in real-world scenarios.
Syllabus
Some Approaches for Solving the Discretely-Constrained Mixed Complementarity Problem (DC-MCP)
Taught by
GERAD Research Center
Related Courses
Introduction to Statistics: Descriptive StatisticsUniversity of California, Berkeley via edX Mathematical Methods for Quantitative Finance
University of Washington via Coursera Dynamics
Massachusetts Institute of Technology via edX Practical Numerical Methods with Python
George Washington University via Independent 統計学Ⅰ:データ分析の基礎 (ga014)
University of Tokyo via gacco