What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Algorithm
- Geometry
His main research concerns Mathematical optimization, Combinatorics, Discrete mathematics, Facility location problem and Integer programming.
His research in Mathematical optimization focuses on subjects like Lexicographical order, which are connected to Simulation.
His research combines Optimization problem and Combinatorics.
In general Facility location problem study, his work on 1-center problem often relates to the realm of Interface, thereby connecting several areas of interest.
His study on Integer programming also encompasses disciplines like
- Heuristic which connect with Column generation,
- Time complexity which intersects with area such as Integer and Cardinality.
His work deals with themes such as Quadratic assignment problem and Weber problem, which intersect with Software.
His most cited work include:
- Facility location : applications and theory (912 citations)
- Inverse radiation therapy planning: a multiple objective optimization approach (166 citations)
- Mathematical Modelling of Evacuation Problems: A State of Art (124 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, Flow network, Discrete mathematics and Algorithm.
His study in Facility location problem, Integer programming, Linear programming, Combinatorial optimization and Pareto principle is carried out as part of his studies in Mathematical optimization.
His Facility location problem course of study focuses on Plane and Regular polygon and Planar.
In his study, which falls under the umbrella issue of Combinatorics, Multi-objective optimization is strongly linked to Optimization problem.
Horst W. Hamacher studied Flow network and Dynamic network analysis that intersect with Cellular automaton, Simulation and Upper and lower bounds.
His biological study spans a wide range of topics, including Cardinality and Shortest path problem.
He most often published in these fields:
- Mathematical optimization (41.14%)
- Combinatorics (24.00%)
- Flow network (20.57%)
What were the highlights of his more recent work (between 2010-2020)?
- Mathematical optimization (41.14%)
- Flow network (20.57%)
- Dynamic network analysis (10.29%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Mathematical optimization, Flow network, Dynamic network analysis, Cellular automaton and Operations research.
His Mathematical optimization research integrates issues from Time complexity, Algorithm, Dominating set and Depth of field, Artificial intelligence.
He combines subjects such as Flow, Heuristic and Integer programming with his study of Flow network.
His study looks at the relationship between Dynamic network analysis and topics such as Upper and lower bounds, which overlap with Applied mathematics, Coherence and Travel time.
His Cellular automaton research integrates issues from Statistical physics and Simulation.
His studies in Operations research integrate themes in fields like Presentation, Sketch, Working group, Library science and Scheduling.
Between 2010 and 2020, his most popular works were:
- Scheduling two agents on uniform parallel machines with makespan and cost functions (31 citations)
- A Sandwich Approach for Evacuation Time Bounds (27 citations)
- A Sandwich Approach for Evacuation Time Bounds (27 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Mathematical optimization
- Geometry
Horst W. Hamacher mainly investigates Flow network, Dynamic network analysis, Cellular automaton, Upper and lower bounds and Mathematical optimization.
His research integrates issues of Flow, Topology and Focus in his study of Flow network.
His Flow study combines topics in areas such as Generalization, Theory of computation, Heuristic and Integer programming.
His work deals with themes such as Statistical physics and Simulation, which intersect with Cellular automaton.
The concepts of his Upper and lower bounds study are interwoven with issues in Travel time, Coherence and Applied mathematics.
Horst W. Hamacher incorporates Mathematical optimization and Parametric statistics in his studies.
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