Optimization seminar

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Frühjahrssemester 2017

Datum / Zeit Referent:in Titel Ort
8. Mai 2017
16:30-17:30
Dr. Alfonso Cevallos Manzano
ETH Zurich, Switzerland
Details

Optimization Seminar

Titel A PTAS for the max-sum dispersion problem in constant dimension.
Referent:in, Affiliation Dr. Alfonso Cevallos Manzano, ETH Zurich, Switzerland
Datum, Zeit 8. Mai 2017, 16:30-17:30
Ort HG G 19.2
Abstract Given n points in Euclidean space, and a number k, the max-sum dispersion problem asks to find a subset of size k with maximum average pairwise distance. This is a classical diversity problem with applications in the location of facilities that need to be "spread out", as well as applications with large databases whenever we need a small and diverse sample. I will present a PTAS for the problem, for instances with bounded doubling dimension. The latter is a very broad notion of dimension on general metric spaces. In particular, the result implies a PTAS for distances induced by any L_p norm of bounded dimension, for any p.
A PTAS for the max-sum dispersion problem in constant dimension. read_more
HG G 19.2
15. Mai 2017
16:30-17:30
Dr. Joseph Paat
ETH Zurich, Switzerland
Details

Optimization Seminar

Titel Approximation of corner polyhedron with families of intersection cuts
Referent:in, Affiliation Dr. Joseph Paat, ETH Zurich, Switzerland
Datum, Zeit 15. Mai 2017, 16:30-17:30
Ort HG G 19.1
Abstract The corner polyhedron is a relaxation of a mixed-integer linear set. One advantage of using the corner polyhedron as a relaxation is that it can be described by so-called intersection cuts, which are valid inequalities derived from lattice-free polyhedra. However, classifying lattice-free sets has proven to be quite difficult, so accessing the complete list of intersection cuts seems unlikely. Here we develop conditions for a family of intersection cuts to closely approximate the corner polyhedron. We characterize "strong" approximations based upon the number of facets of the underlying lattice-free polyhedra. This work was with Gennadiy Averkov from the University of Magdeburg and Amitabh Basu from Johns Hopkins University.
Approximation of corner polyhedron with families of intersection cutsread_more
HG G 19.1
22. Mai 2017
16:30-17:30
Dr. Andrea Baggio
ETH Zurich, Switzerland
Details

Optimization Seminar

Titel Efficient Infrastructure Planning and Room Scheduling for a New Surgery Center
Referent:in, Affiliation Dr. Andrea Baggio, ETH Zurich, Switzerland
Datum, Zeit 22. Mai 2017, 16:30-17:30
Ort HG G 19.1
Efficient Infrastructure Planning and Room Scheduling for a New Surgery Center
HG G 19.1
29. Mai 2017
16:30-17:30
Dr. Christos Kalaitzis
ETH Zurich, Switzerland
Details

Optimization Seminar

Titel Scheduling jobs with uniform Smith ratios to minimize the weighted sum of completion times
Referent:in, Affiliation Dr. Christos Kalaitzis, ETH Zurich, Switzerland
Datum, Zeit 29. Mai 2017, 16:30-17:30
Ort HG G 19.1
Abstract We consider the problem of scheduling jobs on unrelated machines in order to minimize the weighted sum of completion times. For this problem, the best known approximation guarantee is $3/2-\epsilon$, for some small $\epsilon$, due to Bansal et al. In this talk, we will focus on the specific case of the problem, where the involved jobs have uniform weight/size ratios (also known as Smith ratios). For this restricted version of the problem, we show how to achieve an approximation guarantee of 1.21. We do this by providing a randomized rounding scheme, which rounds solutions to the Configuration-LP relaxation of the problem. Our main technical contribution is analyzing this rounding scheme, by comparing the cost of the output distribution of this randomized rounding to the cost of a specific class of worst-case output distributions. This is joint work with Ola Svensson and Jakub Tarnawski.​
Scheduling jobs with uniform Smith ratios to minimize the weighted sum of completion timesread_more
HG G 19.1

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