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[SAL] Square root crystals and Grothendieck positivity | Eric Marberg (Hong Kong University of Science and Technology)
[SAL] Square root crystals and Grothendieck positivity | Eric Marberg (Hong Kong University of Science and Technology)
4 November 2024 - 2:00 pm - 3:00 pm
Zoom link: https://videoconf-colibri.zoom.us/j/91864016501?pwd=J0qrDNWOva0DeM1XTOuUiDN3ToRd3b.1 Â The classical theory of type A crystals provides a graphical framework for proving Schur positivity results. In this talk we will discuss a new category of "square root crystals" (introduced implicitly in work of Yu) that can be used to establish instances of Grothendieck positivity. For example, Buch's combinatorial interpretation of the coefficients expanding products of symmetric Grothendieck functions has a simple description in terms of the tensor product for this category. We will also discuss some shifted analogues and applications to a conjectural formula of Cho-Ikeda for K-theoretic Schur P-functions.
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[VAL] Sudhir Ghorpade (Indian Institute of Technology Bombay, India)
[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
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[VAL] Sudhir Ghorpade (Indian Institute of Technology Bombay, India)
[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
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[VAL] Sudhir Ghorpade (Indian Institute of Technology Bombay, India)
[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
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[VAL] Sudhir Ghorpade (Indian Institute of Technology Bombay, India)
[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
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[VAL] Sudhir Ghorpade (Indian Institute of Technology Bombay, India)
[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
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[SAL] Zeros of homogeneous polynomials, linear sections of Veroneseans, and projective Reed-Muller codes | Sudhir R. Ghorpade (Indian Institute of Technology Bombay)
[SAL] Zeros of homogeneous polynomials, linear sections of Veroneseans, and projective Reed-Muller codes | Sudhir R. Ghorpade (Indian Institute of Technology Bombay)
11 November 2024 - 2:00 pm - 3:00 pm
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 †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 Reed-Muller 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.
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[VAL] Sudhir Ghorpade (Indian Institute of Technology Bombay, India)
[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
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[VBio] Bob W. Kooi (Faculty of Science VU Amsterdam, Netherlands & BCAM - Basque Center for Applied Mathematics, Spain)
[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
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[VOR] Claudia Archetti (University of Brescia, Italy)
[VOR] Claudia Archetti (University of Brescia, Italy)
18 November 2024 - 21 November 2024 -
Venue: office 2, 3rd floor of the Mathematics Department Building
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[SAL] Algebraic Machine Learning | Fernando Martin-Maroto (Champalimaud Foundation, Algebraic AI)
[SAL] Algebraic Machine Learning | Fernando Martin-Maroto (Champalimaud Foundation, Algebraic AI)
18 November 2024 - 2:00 pm - 3:00 pm
I will give a brief introduction to Algebraic Machine Learning (AML), a purely algebraic method that does not use statistics, search or optimization. Instead, AML relies on semantic embeddings in semilattices and subdirect decompositions. AML is capable of learning from data and also from just a problem statement in the form of a set of formulas; for example, AML can learn to find Hamiltonian Cycles from the problem statement. With the same algorithm, AML can learn from data (e.g. classifying medical images) with a test accuracy that rivals that of deep multilayer perceptrons. I will also give an introduction to Atomized Semilatices, a mathematical method developed to operate and compute AML models.
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[VBio] Bob W. Kooi (Faculty of Science VU Amsterdam, Netherlands & BCAM - Basque Center for Applied Mathematics, Spain)
[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
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[VOR] Claudia Archetti (University of Brescia, Italy)
[VOR] Claudia Archetti (University of Brescia, Italy)
18 November 2024 - 21 November 2024 -
Venue: office 2, 3rd floor of the Mathematics Department Building
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[Bio Short-course] Modelling and application of bifurcation theory for epidemiological models , Bob W. Kooi (VU Amsterdam & BCAM)
[Bio Short-course] Modelling and application of bifurcation theory for epidemiological models , Bob W. Kooi (VU Amsterdam & BCAM)
19 November 2024 - 10:00 am - 12:00 pm
Lab 2.2
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[VBio] Bob W. Kooi (Faculty of Science VU Amsterdam, Netherlands & BCAM - Basque Center for Applied Mathematics, Spain)
[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
See more details
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[VOR] Claudia Archetti (University of Brescia, Italy)
[VOR] Claudia Archetti (University of Brescia, Italy)
18 November 2024 - 21 November 2024 -
Venue: office 2, 3rd floor of the Mathematics Department Building
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[SOR] Integrating public transport in sustainable last-mile delivery | Claudia Archetti (University of Brescia, Italy)
[SOR] Integrating public transport in sustainable last-mile delivery | Claudia Archetti (University of Brescia, Italy)
20 November 2024 - 2:00 pm - 3:00 pm
Sala 1.4 - VII
Abstract: Integrating public transport in sustainable last-mile delivery
We consider a delivery system for last-mile deliveries in urban areas based on the use of Public Transport Service. The idea is to exploit the spare capacity of public transport means to transport parcels within urban areas, thus reducing externalities caused by commercial delivery vans. Specifically, the system is such that parcels are first transported from origins to drop-in stations on public vehicles itineraries. Then, they are transported through public vehicles to drop-out stations, from where they are delivered to destination by freighters using green vehicles. The system is known as Freight-On-Transit (FOT). We present the optimization problem related with and operational decisions, as well as ad-hoc solution methodologies and simulations on synthetic data.Â
SHORT BIO
ARCHETTI CLAUDIA
Claudia Archetti is Associate Professor of Operations Research at University of Brescia. From September 2021 to September 2024, she was Full Professor in Operations Research at ESSEC Business School in Paris. The main areas of the scientific activity are: models and algorithms for vehicle routing problems; mixed integer mathematical programming models for the minimization of the sum of inventory and transportation costs in logistic networks; exact and heuristic algorithms for supply-chain management; reoptimization of combinatorial optimization problems.Â
She is author of more than 100 papers in international journals. She is co-Editor in Chief of Networks. She was VIP3 of EURO, the Association of European Operational Research Societies, in charge of publications and communication.
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[SBio] Bifurcation analysis of epidemiological models for Dengue fever, Bob W. Kooi (VU Amsterdam & BCAM)
[SBio] Bifurcation analysis of epidemiological models for Dengue fever, Bob W. Kooi (VU Amsterdam & BCAM)
20 November 2024 - 3:15 pm - 4:15 pm
Lab 2.2
Joint with Analysis Seminar
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[VBio] Bob W. Kooi (Faculty of Science VU Amsterdam, Netherlands & BCAM - Basque Center for Applied Mathematics, Spain)
[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
See more details
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[VOR] Claudia Archetti (University of Brescia, Italy)
[VOR] Claudia Archetti (University of Brescia, Italy)
18 November 2024 - 21 November 2024 -
Venue: office 2, 3rd floor of the Mathematics Department Building
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[Mini-courseBio] Modelling and application of bifurcation theory for epidemiological models , Bob W. Kooi (VU Amsterdam & BCAM)
[Mini-courseBio] Modelling and application of bifurcation theory for epidemiological models , Bob W. Kooi (VU Amsterdam & BCAM)
21 November 2024 - 2:00 pm - 4:00 pm
Lab 2.2
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[VBio] Bob W. Kooi (Faculty of Science VU Amsterdam, Netherlands & BCAM - Basque Center for Applied Mathematics, Spain)
[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
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[VDataScience] Miguel F. Anjos (University of Edinburgh, Scotland)
[VDataScience] Miguel F. Anjos (University of Edinburgh, Scotland)
25 November 2024 - 29 November 2024 -
Venue: office 2, 3rd floor of the Mathematics Department Building
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26
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[VDataScience] Miguel F. Anjos (University of Edinburgh, Scotland)
[VDataScience] Miguel F. Anjos (University of Edinburgh, Scotland)
25 November 2024 - 29 November 2024 -
Venue: office 2, 3rd floor of the Mathematics Department Building
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27
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[VDataScience] Miguel F. Anjos (University of Edinburgh, Scotland)
[VDataScience] Miguel F. Anjos (University of Edinburgh, Scotland)
25 November 2024 - 29 November 2024 -
Venue: office 2, 3rd floor of the Mathematics Department Building
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[SDataScience] Optimizing the Present and Future of Smart Electric Power Grids | Miguel F. Anjos (University of Edinburgh)
[SDataScience] Optimizing the Present and Future of Smart Electric Power Grids | Miguel F. Anjos (University of Edinburgh)
27 November 2024 - 2:00 pm - 3:00 pm
Room 1.5, Building VII, NOVA FCT
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[CourseDataScience] Optimization Models for Unit Commitment in Electric Energy Systems | Miguel F. Anjos (University of Edinburgh)
[CourseDataScience] Optimization Models for Unit Commitment in Electric Energy Systems | Miguel F. Anjos (University of Edinburgh)
27 November 2024 - 3:00 pm - 6:00 pm
NOVA FCT, Lab 2.2, Building VII
Title: 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 day-ahead markets in the USA. InNorth American jurisdictions without markets, the system operators use UC todetermine the day-ahead commitments and dispatches. This mini-course will coversome of the most relevant mathematical optimization models for UC and lead upto open research problems.Â
Part I, 27thNovember, 15:00 â 18:00 - Basics of Unit Commitment and Modern Electric Energy SystemsÂ
Part II,28th November, 14:00-17:00 - 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 (ISBN978-1-68083-370-6). 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 mini-course will beself-contained in this regard.Â
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[VDataScience] Miguel F. Anjos (University of Edinburgh, Scotland)
[VDataScience] Miguel F. Anjos (University of Edinburgh, Scotland)
25 November 2024 - 29 November 2024 -
Venue: office 2, 3rd floor of the Mathematics Department Building
See more details
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[CourseDataScience] Optimization Models for Unit Commitment in Electric Energy Systems | Miguel F. Anjos (University of Edinburgh)
[CourseDataScience] Optimization Models for Unit Commitment in Electric Energy Systems | Miguel F. Anjos (University of Edinburgh)
28 November 2024 - 2:00 pm - 5:00 pm
NOVA FCT, Lab 2.2, Building VII
Title: 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 day-ahead markets in the USA. InNorth American jurisdictions without markets, the system operators use UC todetermine the day-ahead commitments and dispatches. This mini-course will coversome of the most relevant mathematical optimization models for UC and lead upto open research problems.Â
Part I, 27thNovember, 15:00 â 18:00 - Basics of Unit Commitment and Modern Electric Energy SystemsÂ
Part II,28th November, 14:00-17:00 - 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 (ISBN978-1-68083-370-6). 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 mini-course will beself-contained in this regard.Â
See more details
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[VDataScience] Miguel F. Anjos (University of Edinburgh, Scotland)
[VDataScience] Miguel F. Anjos (University of Edinburgh, Scotland)
25 November 2024 - 29 November 2024 -
Venue: office 2, 3rd floor of the Mathematics Department Building
See more details
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