2019 - INFORMS John von Neumann Theory Prize
2007 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)
2005 - Member of the National Academy of Engineering For contributions to optimization theory and stochastic systems and innovative applications in financial engineering and transportation.
His main research concerns Mathematical optimization, Robust optimization, Linear programming, Optimization problem and Operations research. His work is connected to Stochastic programming, Stochastic optimization, Combinatorial optimization, Dynamic programming and Travelling salesman problem, as a part of Mathematical optimization. His Robust optimization research is multidisciplinary, relying on both Independent and identically distributed random variables, Semidefinite programming, Probabilistic-based design optimization and Robustness.
His biological study spans a wide range of topics, including Structure, Stochastic game, Stock exchange, Risk aversion and Relaxation. The Optimization problem study combines topics in areas such as Time complexity, Stochastic control and Replicating portfolio, Portfolio optimization. His Operations research research incorporates elements of Air traffic flow management, Order, Integer programming and Dynamic network analysis.
His scientific interests lie mostly in Mathematical optimization, Robust optimization, Linear programming, Optimization problem and Algorithm. His studies in Mathematical optimization integrate themes in fields like Upper and lower bounds and Queueing theory. His research is interdisciplinary, bridging the disciplines of Queue and Queueing theory.
The concepts of his Robust optimization study are interwoven with issues in Probabilistic-based design optimization and Robustness.
Dimitris Bertsimas mostly deals with Mathematical optimization, Artificial intelligence, Machine learning, Optimization problem and Robust optimization. His Mathematical optimization study incorporates themes from Regularization and Sample. In the field of Artificial intelligence, his study on Deep learning overlaps with subjects such as Vulnerability.
His work in the fields of Machine learning, such as Interpretability, overlaps with other areas such as Multi dimensional. The various areas that Dimitris Bertsimas examines in his Optimization problem study include Sparse PCA, Matrix, Matrix completion, Covariate and Asymptotically optimal algorithm. His study explores the link between Robust optimization and topics such as Probabilistic logic that cross with problems in Operations research.
His primary areas of investigation include Mathematical optimization, Robust optimization, Optimization problem, Algorithm and Prescriptive analytics. His work on Facility location problem as part of general Mathematical optimization study is frequently linked to Product line, bridging the gap between disciplines. His research in Robust optimization intersects with topics in Statistical hypothesis testing, Probabilistic logic, Linear programming, Numerical analysis and Process management.
His Optimization problem research includes themes of Function, Black box and Range. In Algorithm, he works on issues like Lasso, which are connected to Convergence, Code, Discrete optimization and Feature selection. Dimitris Bertsimas combines subjects such as Disease and Function with his study of Prescriptive analytics.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The Price of Robustness
Dimitris Bertsimas;Melvyn Sim.
Operations Research (2004)
Introduction to linear optimization
Dimitris Bertsimas;John Tsitsiklis.
Theory and Applications of Robust Optimization
Dimitris J. Bertsimas;David B. Brown;Constantine Caramanis.
Siam Review (2011)
Robust discrete optimization and network flows
Dimitris Bertsimas;Melvyn Sim.
Mathematical Programming (2003)
Adaptive Robust Optimization for the Security Constrained Unit Commitment Problem
D. Bertsimas;E. Litvinov;Xu Andy Sun;Jinye Zhao.
IEEE Transactions on Power Systems (2013)
Optimal control of execution costs
Dimitris Bertsimas;Andrew W. Lo.
Journal of Financial Markets (1998)
The Air Traffic Flow Management Problem with Enroute Capacities
Dimitris Bertsimas;Sarah Stock Patterson.
Operations Research (1998)
A Robust Optimization Approach to Inventory Theory
Dimitris Bertsimas;Aurlie Thiele.
Operations Research (2006)
A stochastic and dynamic vehicle routing problem in the Euclidean plane
Dimitris J. Bertsimas;Garrett J. van Ryzin.
Operations Research (1991)
Robust linear optimization under general norms
Dimitris Bertsimas;Dessislava Pachamanova;Melvyn Sim.
Operations Research Letters (2004)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: