Add to ORKGWe introduce a new framework for designing online algorithms that can incorporate addi-tional information about the input sequence, while maintaining a reasonable competitive ratio if the additional information is incorrect. Within this framework, we present online algorithms for several problems including allocation of online advertisement space, load balancing, and facility location.
Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Resear...
We design new algorithms for the problem of allocating uncertain, flexible, and multi-unit demand on...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
This thesis presents results of our research in the area of optimization problems with incomplete in...
In the last couple of decades, focus on speed and personalization has been a topic of major importan...
In online problems, the input forms a finite sequence of requests. Each request must be processed, i...
Many optimisation problems are of an online—also called dynamic—nature, where new information is exp...
the supervisor, Adi Rosén, is not fluent enough in French. Le contexte général In online computat...
This thesis considers the analysis and design of algorithms for the management and control of uncert...
Analyzing the performance of algorithms in both the worst case and the average case are cornerstones...
We present decision/optimization models/problems driven by uncertain and online data, and show how a...
We consider a model for online computation in which the online algorithm receives, together with eac...
Online optimization, in contrast to classical optimization, deals with optimization problems whose i...
© 2016 Elsevier Ltd This paper deals with online resource allocation problems whereby buyers with a ...
Incomplete information is a major challenge when translating combinatorial optimization results to r...
Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Resear...
We design new algorithms for the problem of allocating uncertain, flexible, and multi-unit demand on...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
This thesis presents results of our research in the area of optimization problems with incomplete in...
In the last couple of decades, focus on speed and personalization has been a topic of major importan...
In online problems, the input forms a finite sequence of requests. Each request must be processed, i...
Many optimisation problems are of an online—also called dynamic—nature, where new information is exp...
the supervisor, Adi Rosén, is not fluent enough in French. Le contexte général In online computat...
This thesis considers the analysis and design of algorithms for the management and control of uncert...
Analyzing the performance of algorithms in both the worst case and the average case are cornerstones...
We present decision/optimization models/problems driven by uncertain and online data, and show how a...
We consider a model for online computation in which the online algorithm receives, together with eac...
Online optimization, in contrast to classical optimization, deals with optimization problems whose i...
© 2016 Elsevier Ltd This paper deals with online resource allocation problems whereby buyers with a ...
Incomplete information is a major challenge when translating combinatorial optimization results to r...
Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Resear...
We design new algorithms for the problem of allocating uncertain, flexible, and multi-unit demand on...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...