Publications related to Small Extended Formulation for Knapsack Cover Inequalities from Monotone Circuits

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LP-Based Algorithms for Capacitated Facility Location

Ola Nils Anders Svensson, Hyung Chan An

Linear programming has played a key role in the study of algorithms for combinatorial optimization problems. In the field of approximation algorithms, this is well illustrated by the uncapacitated facility location problem. A variety of algorithmic methodo ...

IEEE2014

Multi-Objective Quality-Driven Service Selection-A Fully Polynomial Time Approximation Scheme

Boi Faltings, Immanuel Trummer

The goal of multi-objective quality-driven service selection (QDSS) is to find service selections for a workflow whose quality-of-service (QoS) values are Pareto-optimal. We consider multiple QoS attributes such as response time, cost, and reliability. A s ...

Institute of Electrical and Electronics Engineers2014

Combinatorial Algorithm for Restricted Max-Min Fair Allocation

Ola Nils Anders Svensson, Christos Kalaitzis, Chidambaram Annamalai

We study the basic allocation problem of assigning resources to players so as to maximize fairness. This is one of the few natural problems that enjoys the intriguing status of having a better estimation algorithm than approximation algorithm. Indeed, a ce ...

2014

On the Configuration LP for Maximum Budgeted Allocation

Ola Nils Anders Svensson, Christos Kalaitzis, Lukas Polacek, Aleksander Madry

We study the Maximum Budgeted Allocation problem, i.e., the problem of selling a set of m indivisible goods to n players, each with a separate budget, such that we maximize the collected revenue. Since the natural assignment LP is known to have an integral ...

Springer2014

Tractability of interpretability via selection of group-sparse models

Volkan Cevher, Luca Baldassarre, Nirav Bhan

Group-based sparsity models are proven instrumental in linear regression problems for recovering signals from much fewer measurements than standard compressive sensing. A promise of these models is to lead to “interpretable” signals for which we identify i ...

2013

Bin Packing via Discrepancy of Permutations

Friedrich Eisenbrand, Thomas Rothvoss, Doemoetoer Palvoelgyi

A well-studied special case of bin packing is the 3-partition problem, where n items of size > 1/4 have to be packed in a minimum number of bins of capacity one. The famous Karmarkar-Karp algorithm transforms a fractional solution of a suitable LP relaxati ...

Association for Computing Machinery2013

Santa Claus Schedules Jobs On Unrelated Machines

Ola Nils Anders Svensson

One of the classic results in scheduling theory is the 2-approximation algorithm by Lenstra, Shmoys, and Tardos for the problem of scheduling jobs to minimize makespan on unrelated machines; i.e., job j requires time p(ij) if processed on machine i. More t ...

Siam Publications2012

Approximability of Sparse Integer Programs

David Pritchard

The main focus of this paper is a pair of new approximation algorithms for certain integer programs. First, for covering integer programs {min cx:Ax≥b,0≤x≤d} where A has at most k nonzeroes per row, we give a k-approximation algorithm. (We assume A,b,c,d a ...

Springer-Verlag2011

Small Extended Formulation for Knapsack Cover Inequalities from Monotone Circuits

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LP-Based Algorithms for Capacitated Facility Location

Multi-Objective Quality-Driven Service Selection-A Fully Polynomial Time Approximation Scheme

Combinatorial Algorithm for Restricted Max-Min Fair Allocation

On the Configuration LP for Maximum Budgeted Allocation

Tractability of interpretability via selection of group-sparse models

Bin Packing via Discrepancy of Permutations

New Results in the Theory of Linear and Integer Programming

Santa Claus Schedules Jobs On Unrelated Machines

Santa Claus schedules jobs on unrelated machines

Approximability of Sparse Integer Programs

LP-Based Algorithms for Capacitated Facility Location

Multi-Objective Quality-Driven Service Selection-A Fully Polynomial Time Approximation Scheme

Santa Claus Schedules Jobs On Unrelated Machines

Tractability of interpretability via selection of group-sparse models

New Results in the Theory of Linear and Integer Programming

On the Configuration LP for Maximum Budgeted Allocation

Combinatorial Algorithm for Restricted Max-Min Fair Allocation

Approximability of Sparse Integer Programs

Bin Packing via Discrepancy of Permutations

Santa Claus schedules jobs on unrelated machines