What is she best known for?
The fields of study she is best known for:
- Computer network
- Statistics
- Algorithm
Brigitte Jaumard mainly investigates Mathematical optimization, Algorithm, Combinatorics, Discrete mathematics and Linear programming.
Her work on Integer programming, Bilevel optimization and Branch and bound is typically connected to Workload as part of general Mathematical optimization study, connecting several disciplines of science.
She has researched Algorithm in several fields, including Theoretical computer science, Quadratic programming, Column generation, Probabilistic logic and Heuristics.
Her work on Polyhedron as part of general Combinatorics research is frequently linked to Nonlinear programming, French horn and Euclidean geometry, thereby connecting diverse disciplines of science.
She interconnects CURE data clustering algorithm, Bounded function, Partition and Cluster analysis in the investigation of issues within Discrete mathematics.
Her Linear programming research includes elements of Facility location problem, 1-center problem and Convex set.
Her most cited work include:
- Cluster analysis and mathematical programming (503 citations)
- New branch-and-bound rules for linear bilevel programming (359 citations)
- Algorithms for the maximum satisfiability problem (296 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Computer network, Distributed computing, Mathematical optimization, Column generation and Algorithm.
Her research investigates the connection between Computer network and topics such as Dimensioning that intersect with issues in Network planning and design.
In her research on the topic of Distributed computing, Telecommunications link is strongly related with Scheduling.
Mathematical optimization connects with themes related to Routing and wavelength assignment in her study.
Her Column generation research is multidisciplinary, incorporating perspectives in Linear programming and Mesh networking.
As a part of the same scientific family, she mostly works in the field of Algorithm, focusing on Probabilistic logic and, on occasion, Satisfiability.
She most often published in these fields:
- Computer network (31.21%)
- Distributed computing (24.44%)
- Mathematical optimization (21.97%)
What were the highlights of her more recent work (between 2013-2021)?
- Computer network (31.21%)
- Distributed computing (24.44%)
- Routing (8.83%)
In recent papers she was focusing on the following fields of study:
Computer network, Distributed computing, Routing, Column generation and Provisioning are her primary areas of study.
Her Computer network study combines topics from a wide range of disciplines, such as Network virtualization and Dimensioning.
Her studies in Distributed computing integrate themes in fields like Network architecture, Network topology, Scheduling and Path protection.
Her Routing research is multidisciplinary, relying on both Resource, Mathematical optimization, Optical burst switching and Wavelength-division multiplexing.
In general Mathematical optimization study, her work on Integer programming often relates to the realm of Separation, thereby connecting several areas of interest.
Her Column generation research is multidisciplinary, incorporating elements of Path, Multiplexing and Frequency allocation.
Between 2013 and 2021, her most popular works were:
- A Scalable Approach for Service Chain Mapping With Multiple SC Instances in a Wide-Area Network (34 citations)
- Optimal Network Service Chain Provisioning (34 citations)
- Joint dimensioning of server and network infrastructure for resilient optical grids/clouds (33 citations)
In her most recent research, the most cited papers focused on:
- Computer network
- Statistics
- Artificial intelligence
Her primary areas of study are Distributed computing, Routing, Virtual network, Computer network and Mathematical optimization.
The various areas that Brigitte Jaumard examines in her Distributed computing study include Column generation, Network topology, Provisioning and Network architecture.
Her study in Routing is interdisciplinary in nature, drawing from both Routing and wavelength assignment, Collision avoidance and Fuel efficiency.
Her research integrates issues of Network virtualization, Data center and Server in her study of Virtual network.
Her study in the field of Peer to peer computing and Live streaming is also linked to topics like Free rider problem.
Her Mathematical optimization study focuses on Heuristics in particular.
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