What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Mathematical analysis
- Algorithm
Patrice Marcotte mainly investigates Mathematical optimization, Variational inequality, Bilevel optimization, Flow network and Mathematical economics.
His Mathematical optimization research focuses on Theory of computation and how it connects with Connection.
The concepts of his Variational inequality study are interwoven with issues in Convergence, Strongly monotone and Algorithm.
Patrice Marcotte interconnects Function, Monotonic function and Jacobi method in the investigation of issues within Convergence.
Patrice Marcotte combines subjects such as Stackelberg competition, Demand forecasting and Nonlinear programming with his study of Bilevel optimization.
The study incorporates disciplines such as Cournot competition, Uniqueness, Computer simulation and Traffic congestion in addition to Flow network.
His most cited work include:
- An overview of bilevel optimization (927 citations)
- Bilevel programming: A survey (359 citations)
- On the relationship between Nash—Cournot and Wardrop equilibria (285 citations)
What are the main themes of his work throughout his whole career to date?
Patrice Marcotte focuses on Mathematical optimization, Bilevel optimization, Variational inequality, Operations research and Flow network.
His Mathematical optimization research includes themes of Stackelberg competition and Nonlinear programming.
In his research on the topic of Bilevel optimization, Heuristics is strongly related with Network planning and design.
His study looks at the relationship between Variational inequality and fields such as Assignment problem, as well as how they intersect with chemical problems.
His Operations research research is multidisciplinary, incorporating perspectives in Decision problem and Process.
He has included themes like Time complexity and Uniqueness in his Flow network study.
He most often published in these fields:
- Mathematical optimization (58.23%)
- Bilevel optimization (28.48%)
- Variational inequality (24.05%)
What were the highlights of his more recent work (between 2012-2021)?
- Mathematical optimization (58.23%)
- Revenue management (15.19%)
- Operations research (24.05%)
In recent papers he was focusing on the following fields of study:
His main research concerns Mathematical optimization, Revenue management, Operations research, Bilevel optimization and Yield management.
In general Mathematical optimization study, his work on Flow network, Integer programming and Heuristic often relates to the realm of Smart grid and Work, thereby connecting several areas of interest.
His study in Flow network is interdisciplinary in nature, drawing from both Trust region and Discrete choice.
His Operations research research is multidisciplinary, incorporating elements of Demand modeling, Bidding, Microeconomics, Resource and Process.
His Bilevel optimization research incorporates themes from Stackelberg competition, Network planning and design, Management science and Focus.
His work deals with themes such as Variational inequality and Parameterized complexity, which intersect with Class.
Between 2012 and 2021, his most popular works were:
- Equilibrium and Advanced Transportation Modelling (89 citations)
- Two-stage stochastic bilevel programming over a transportation network (28 citations)
- Achieving an optimal trade-off between revenue and energy peak within a smart grid environment (17 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Mathematical analysis
- Topology
Patrice Marcotte mainly focuses on Mathematical optimization, Bilevel optimization, Flow network, Operations research and Revenue management.
His work on Global optimization as part of general Mathematical optimization research is frequently linked to Demand response, bridging the gap between disciplines.
Patrice Marcotte has researched Bilevel optimization in several fields, including Objective programming, Construct and Multiple objective.
His Flow network research is multidisciplinary, incorporating perspectives in Quadratic programming, Logit and Discrete choice.
When carried out as part of a general Operations research research project, his work on Facility location problem is frequently linked to work in Population, therefore connecting diverse disciplines of study.
His work on Yield management as part of general Revenue management study is frequently connected to Integer programming, Resource and Flexibility, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
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