What is he best known for?
The fields of study he is best known for:
- Algorithm
- Programming language
- Artificial intelligence
Leo Liberti spends much of his time researching Mathematical optimization, Combinatorics, Algorithm, Global optimization and Nonlinear programming.
The concepts of his Mathematical optimization study are interwoven with issues in Type, Set and Computation.
His studies deal with areas such as Point and Regular polygon as well as Set.
His research integrates issues of Discrete mathematics, Embedding and Euclidean geometry in his study of Combinatorics.
Leo Liberti works mostly in the field of Algorithm, limiting it down to concerns involving Column generation and, occasionally, Centroid, Explained sum of squares, Cluster analysis and Column.
His studies examine the connections between Global optimization and genetics, as well as such issues in Convex hull, with regards to Convex combination and Convex analysis.
His most cited work include:
- Branching and bounds tighteningtechniques for non-convex MINLP (477 citations)
- Euclidean Distance Geometry and Applications (232 citations)
- Global optimization : from theory to implementation (145 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Mathematical optimization, Combinatorics, Algorithm, Set and Discrete mathematics.
In most of his Mathematical optimization studies, his work intersects topics such as Nonlinear programming.
His Combinatorics study integrates concerns from other disciplines, such as Embedding, Convex analysis and Euclidean geometry.
In his research, Space is intimately related to Discretization, which falls under the overarching field of Algorithm.
His study focuses on the intersection of Discrete mathematics and fields such as Euclidean distance with connections in the field of Euclidean space.
His Global optimization research is multidisciplinary, incorporating elements of Variable and Applied mathematics.
He most often published in these fields:
- Mathematical optimization (34.58%)
- Combinatorics (20.34%)
- Algorithm (20.00%)
What were the highlights of his more recent work (between 2017-2021)?
- Mathematical optimization (34.58%)
- Algorithm (20.00%)
- Set (13.56%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Mathematical optimization, Algorithm, Set, Discrete mathematics and Euclidean geometry.
Leo Liberti combines subjects such as Electrical grid and Alternating current with his study of Mathematical optimization.
His Algorithm study combines topics from a wide range of disciplines, such as Discretization, Distance measurement, Interval and Combinatorial explosion.
His Discretization research includes themes of Euclidean space, Combinatorics, Solution set, Space and Symmetry.
His work carried out in the field of Set brings together such families of science as Dual, Applied mathematics and Linear programming formulation.
The various areas that Leo Liberti examines in his Discrete mathematics study include Norm, Sparse approximation, Dimension and Euclidean distance matrix.
Between 2017 and 2021, his most popular works were:
- QPLIB: a library of quadratic programming instances (22 citations)
- Minimal NMR distance information for rigidity of protein graphs (14 citations)
- Random Projections for Linear Programming (13 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Programming language
- Artificial intelligence
His primary scientific interests are in Set, Quadratic equation, Euclidean geometry, Algorithm and Applied mathematics.
His Set research includes elements of Space, Randomized algorithm, Dimension and Relaxation.
His Quadratic equation research focuses on subjects like Quadratic programming, which are linked to Theoretical computer science, Optimization problem, Taxonomy and Theory of computation.
His Euclidean geometry research is multidisciplinary, incorporating perspectives in Discrete mathematics, Countable set, Almost surely and Point.
His Discrete mathematics research incorporates themes from Intersection, Embedding and Euclidean space, Euclidean distance matrix.
His Combinatorial explosion research extends to Algorithm, which is thematically connected.
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