What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Algorithm
- Artificial intelligence
Nikolaos V. Sahinidis spends much of his time researching Mathematical optimization, Global optimization, Nonlinear programming, Stochastic programming and Algorithm.
His research on Mathematical optimization often connects related areas such as Nonlinear system.
His work deals with themes such as Robust optimization, Optimization problem, Pooling and Nonlinear mixed integer programming, which intersect with Global optimization.
His research integrates issues of Branch and price and Relaxation in his study of Nonlinear programming.
His Stochastic programming research focuses on Stochastic optimization and how it relates to Measure and Process.
His study in the field of Derivative-free optimization, Function problem, Asymptotic computational complexity and Computational resource is also linked to topics like Polynomial-time reduction.
His most cited work include:
- A polyhedral branch-and-cut approach to global optimization (910 citations)
- Optimization under uncertainty: state-of-the-art and opportunities (885 citations)
- Derivative-free optimization: a review of algorithms and comparison of software implementations (717 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Mathematical optimization, Global optimization, Algorithm, Nonlinear programming and Linear programming.
His Mathematical optimization study frequently draws connections between adjacent fields such as Nonlinear system.
His Global optimization study integrates concerns from other disciplines, such as Search tree, Solver, Local search and Cutting-plane method.
His Algorithm study frequently draws connections between related disciplines such as Linear system.
Many of his studies on Nonlinear programming involve topics that are commonly interrelated, such as Branch and cut.
In Convex hull, he works on issues like Convex analysis, which are connected to Subderivative.
He most often published in these fields:
- Mathematical optimization (56.25%)
- Global optimization (28.13%)
- Algorithm (17.19%)
What were the highlights of his more recent work (between 2017-2021)?
- Mathematical optimization (56.25%)
- Global optimization (28.13%)
- Artificial intelligence (7.29%)
In recent papers he was focusing on the following fields of study:
Mathematical optimization, Global optimization, Artificial intelligence, Nonlinear programming and Solver are his primary areas of study.
His research in Mathematical optimization intersects with topics in Domain and Leverage.
His work carried out in the field of Global optimization brings together such families of science as Quadratic equation, Quadratic function, Cutting-plane method, Applied mathematics and Relaxation.
Nikolaos V. Sahinidis interconnects Text mining, Machine learning, Computation and Pattern recognition in the investigation of issues within Artificial intelligence.
His Nonlinear programming study incorporates themes from Linear programming, Regression analysis and Binary expression tree.
Nikolaos V. Sahinidis works mostly in the field of Solver, limiting it down to topics relating to Search tree and, in certain cases, Duality, Natural language processing, Domain reduction, Monotonic function and Inequality.
Between 2017 and 2021, his most popular works were:
- Exploiting integrality in the global optimization of mixed-integer nonlinear programming problems with BARON (56 citations)
- A hybrid LP/NLP paradigm for global optimization relaxations (24 citations)
- QPLIB: a library of quadratic programming instances (22 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Algorithm
- Artificial intelligence
His main research concerns Mathematical optimization, Global optimization, Nonlinear programming, Linear programming and Nonlinear system.
Nikolaos V. Sahinidis regularly ties together related areas like Dynamic priority scheduling in his Mathematical optimization studies.
Nikolaos V. Sahinidis performs integrative study on Global optimization and Convex hull in his works.
His studies in Nonlinear programming integrate themes in fields like Binary expression tree, Regression analysis and Leverage.
Within one scientific family, Nikolaos V. Sahinidis focuses on topics pertaining to Solver under Linear programming, and may sometimes address concerns connected to Derivative-free optimization, Algorithm, Implementation and Benchmark.
His study in Nonlinear system is interdisciplinary in nature, drawing from both Algorithm design and Cutting-plane method.
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