 8 November 2024


[VAL] Sudhir Ghorpade (Indian Institute of Technology Bombay, India)
7 November 2024  12 November 2024 
Venue: office 2, 3rd floor of the Mathematics Department Building

 9 November 2024


[VAL] Sudhir Ghorpade (Indian Institute of Technology Bombay, India)
7 November 2024  12 November 2024 
Venue: office 2, 3rd floor of the Mathematics Department Building

 10 November 2024


[VAL] Sudhir Ghorpade (Indian Institute of Technology Bombay, India)
7 November 2024  12 November 2024 
Venue: office 2, 3rd floor of the Mathematics Department Building

 11 November 2024


[VAL] Sudhir Ghorpade (Indian Institute of Technology Bombay, India)
7 November 2024  12 November 2024 
Venue: office 2, 3rd floor of the Mathematics Department Building

[SAL] Zeros of homogeneous polynomials, linear sections of Veroneseans, and projective ReedMuller codes  Sudhir R. Ghorpade (Indian Institute of Technology Bombay)
11 November 2024  14:00  15:00
Let F be a finite field and let m, d and r be positive integers. Consider the following
question: What is the maximum number of common zeros over F that a system of r linearly
independent homogeneous polynomials of degree d in m + 1 variables can have?
Because of homogeneity, we will disregard the trivial zero (viz., the origin) and regard two
zeros as equivalent if they are proportional to each other, i.e., if one is obtained from another
upon multiplying all coordinates with a nonzero scalar. In other words, we look for zeros in
the m dimensional projective space over the field F.
This question was first raised by M. Tsfasman in the case of a single homogeneous
polynomial, i.e., when r = 1. It was then settled by J.P. Serre (1991). Later Tsfasman
together with M. Boguslavsky formulated a remarkable conjecture in the general case, and
this was shown to hold in the affirmative in the next case of r = 2 by Boguslavsky (1997).
Then about two decades later, it was shown that the conjecture is valid conjecture is valid if
the number of polynomials is at most the number of variables, i.e., r â€ m + 1, but the
conjecture can be false in general. Newer conjectures were then formulated and although
there has been considerable progress concerning them, the general case is still open.
These questions are intimately related to the study of maximal sections of Veronese varieties
by linear subvarieties of the ambient projective case, and also to the study of the an important
class of linear error correcting codes, called projective ReedMuller codes.
In this talk, we will outline these developments and explain the above connections.
An attempt will be made to keep the prerequisites at a minimum.

 12 November 2024


[VAL] Sudhir Ghorpade (Indian Institute of Technology Bombay, India)
7 November 2024  12 November 2024 
Venue: office 2, 3rd floor of the Mathematics Department Building

 18 November 2024


[VBio] Bob W. Kooi (Faculty of Science VU Amsterdam, Netherlands & BCAM  Basque Center for Applied Mathematics, Spain)
18 November 2024  22 November 2024 
Venue: office 10, 3rd floor of the Mathematics Department Building

[VOR] Claudia Archetti (University of Brescia, Italy)
18 November 2024  21 November 2024 
Venue: office 2, 3rd floor of the Mathematics Department Building

 19 November 2024


[VBio] Bob W. Kooi (Faculty of Science VU Amsterdam, Netherlands & BCAM  Basque Center for Applied Mathematics, Spain)
18 November 2024  22 November 2024 
Venue: office 10, 3rd floor of the Mathematics Department Building

[VOR] Claudia Archetti (University of Brescia, Italy)
18 November 2024  21 November 2024 
Venue: office 2, 3rd floor of the Mathematics Department Building

[Bio Shortcourse] Modelling and application of bifurcation theory for epidemiological models , Bob W. Kooi (VU Amsterdam & BCAM)
19 November 2024  10:00  12:00
Lab 2.2

 20 November 2024


[VBio] Bob W. Kooi (Faculty of Science VU Amsterdam, Netherlands & BCAM  Basque Center for Applied Mathematics, Spain)
18 November 2024  22 November 2024 
Venue: office 10, 3rd floor of the Mathematics Department Building

[VOR] Claudia Archetti (University of Brescia, Italy)
18 November 2024  21 November 2024 
Venue: office 2, 3rd floor of the Mathematics Department Building

[SOR] Integrating public transport in sustainable lastmile delivery  Claudia Archetti (University of Brescia, Italy)
20 November 2024  14:00  15:00
Sala 1.4  VIIAbstract: Integrating public transport in sustainable lastmile delivery
We consider a delivery system for lastmile deliveries in urban areas based on the use of PublicÂ Transport Service. The idea is to exploit the spare capacity of public transport means to transportÂ parcels within urban areas, thus reducing externalities caused by commercial delivery vans.Â Specifically, the system is such that parcels are first transported from origins to dropin stations onÂ public vehicles itineraries. Then, they are transported through public vehicles to dropout stations,Â from where they are delivered to destination by freighters using green vehicles. The system is knownÂ as FreightOnTransit (FOT). We present the optimization problem related with and operationalÂ decisions, as well as adhoc solution methodologies and simulations on synthetic data.Â
SHORT BIO
ARCHETTI CLAUDIA
Claudia Archetti is Associate Professor of Operations Research at University of Brescia. FromÂ September 2021 to September 2024, she was Full Professor in Operations Research at ESSECÂ Business School in Paris. The main areas of the scientific activity are: models and algorithms forÂ vehicle routing problems; mixed integer mathematical programming models for the minimization ofÂ the sum of inventory and transportation costs in logistic networks; exact and heuristic algorithms forÂ supplychain management; reoptimization of combinatorial optimization problems.Â
SheÂ is authorÂ of more than 100 papers in international journals. She is coEditor in Chief ofÂ Networks. She was VIP3 of EURO, the Association of European Operational Research Societies, inÂ charge of publications and communication.

[SBio] Bifurcation analysis of epidemiological models for Dengue fever, Bob W. Kooi (VU Amsterdam & BCAM)
20 November 2024  15:15  16:15
Lab 2.2Joint with Analysis Seminar

 21 November 2024


[VBio] Bob W. Kooi (Faculty of Science VU Amsterdam, Netherlands & BCAM  Basque Center for Applied Mathematics, Spain)
18 November 2024  22 November 2024 
Venue: office 10, 3rd floor of the Mathematics Department Building

[VOR] Claudia Archetti (University of Brescia, Italy)
18 November 2024  21 November 2024 
Venue: office 2, 3rd floor of the Mathematics Department Building

[Bio Shortcourse] Modelling and application of bifurcation theory for epidemiological models , Bob W. Kooi (VU Amsterdam & BCAM)
21 November 2024  14:00  16:00
Lab 2.2

 22 November 2024


[VBio] Bob W. Kooi (Faculty of Science VU Amsterdam, Netherlands & BCAM  Basque Center for Applied Mathematics, Spain)
18 November 2024  22 November 2024 
Venue: office 10, 3rd floor of the Mathematics Department Building

 25 November 2024


[VDataScience] Miguel F. Anjos (University of Edinburgh, Scotland)
25 November 2024  29 November 2024 
Venue: office 2, 3rd floor of the Mathematics Department Building

 26 November 2024


[VDataScience] Miguel F. Anjos (University of Edinburgh, Scotland)
25 November 2024  29 November 2024 
Venue: office 2, 3rd floor of the Mathematics Department Building

 27 November 2024


[VDataScience] Miguel F. Anjos (University of Edinburgh, Scotland)
25 November 2024  29 November 2024 
Venue: office 2, 3rd floor of the Mathematics Department Building

[SDataScience] Optimizing the Present and Future of Smart Electric Power Grids  Miguel F. Anjos (University of Edinburgh)
27 November 2024  14:00  15:00
Room 1.5, Building VII, NOVA FCT 
[CourseDataScience] Optimization Models for Unit Commitment in Electric Energy Systems  Miguel F. Anjos (University of Edinburgh)
27 November 2024  15:00  18:00
NOVA FCT, Lab 2.2, Building VIITitle: Optimization Models for Unit Commitment in Electric EnergySystems
Speaker: Miguel F. Anjos (University of Edinburgh)
Description: The unitcommitment (UC) problem addresses a fundamental decision that is taken whenoperating a power system, namely to set the schedule of power production foreach generating unit in the system so that the demand for electricity is met atminimum cost. The schedule must also ensure that each unit operates within itstechnical limits; these typically include ramping constraints and minimumuptime/downtime constraints. Units that are scheduled to produce electricityduring a given time period are said to be committed for that period. Variousjurisdictions solve UC on a daily basis. In particular, it is the standard toolto clear spot markets, and particularly the dayahead markets in the USA. InNorth American jurisdictions without markets, the system operators use UC todetermine the dayahead commitments and dispatches. This minicourse will coversome of the most relevant mathematical optimization models for UC and lead upto open research problems.Â
Part I, 27^{th}November, 15:00 â 18:00  Basics of Unit Commitment and Modern Electric Energy SystemsÂ
Part II,28^{th} November, 14:0017:00  Unit Commitment Under Uncertainty & Additional Topics
Registrationcan be completed here.
Other info:Â
The lectures will be based on the tutorial:Â
M.F. Anjos and A.J. Conejo. Unit Commitmentin Electric Energy Systems, Now Foundations and Trends, 2017 (ISBN9781680833706). http://dx.doi.org/10.1561/3100000014
Participants should have a laptop computer with access to theinternet. No specific software is required. Knowledge of AMPL or a similar optimizationmodelling language will help but is not essential as the minicourse will beselfcontained in this regard.Â

 28 November 2024


[VDataScience] Miguel F. Anjos (University of Edinburgh, Scotland)
25 November 2024  29 November 2024 
Venue: office 2, 3rd floor of the Mathematics Department Building

[CourseDataScience] Optimization Models for Unit Commitment in Electric Energy Systems  Miguel F. Anjos (University of Edinburgh)
28 November 2024  14:00  17:00
NOVA FCT, Lab 2.2, Building VIITitle: Optimization Models for Unit Commitment in Electric EnergySystems
Speaker: Miguel F. Anjos (University of Edinburgh)
Description: The unitcommitment (UC) problem addresses a fundamental decision that is taken whenoperating a power system, namely to set the schedule of power production foreach generating unit in the system so that the demand for electricity is met atminimum cost. The schedule must also ensure that each unit operates within itstechnical limits; these typically include ramping constraints and minimumuptime/downtime constraints. Units that are scheduled to produce electricityduring a given time period are said to be committed for that period. Variousjurisdictions solve UC on a daily basis. In particular, it is the standard toolto clear spot markets, and particularly the dayahead markets in the USA. InNorth American jurisdictions without markets, the system operators use UC todetermine the dayahead commitments and dispatches. This minicourse will coversome of the most relevant mathematical optimization models for UC and lead upto open research problems.Â
Part I, 27^{th}November, 15:00 â 18:00  Basics of Unit Commitment and Modern Electric Energy SystemsÂ
Part II,28^{th} November, 14:0017:00  Unit Commitment Under Uncertainty & Additional Topics
Registrationcan be completed here.
Other info:Â
The lectures will be based on the tutorial:Â
M.F. Anjos and A.J. Conejo. Unit Commitmentin Electric Energy Systems, Now Foundations and Trends, 2017 (ISBN9781680833706). http://dx.doi.org/10.1561/3100000014
Participants should have a laptop computer with access to theinternet. No specific software is required. Knowledge of AMPL or a similar optimizationmodelling language will help but is not essential as the minicourse will beselfcontained in this regard.Â

 29 November 2024


[VDataScience] Miguel F. Anjos (University of Edinburgh, Scotland)
25 November 2024  29 November 2024 
Venue: office 2, 3rd floor of the Mathematics Department Building

 4 December 2024


[SDataScience] Mechanistic mathematical models of harmful algal species  Ming Li (University of Maryland Center for Environmental Science)
4 December 2024  14:00  15:00
Room 1.5, Building VII, NOVA FCT
