Self-similarity and the transition from finite to infinite measures in dynamical s...
Extensions of the lot sizing problem: new approaches of flexibility
On the unit group of Z-orders in finite dimensional algebras
Grant number: | 23/03449-0 |
Support Opportunities: | Scholarships in Brazil - Scientific Initiation |
Start date: | May 01, 2023 |
End date: | April 30, 2024 |
Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Theory of Computation |
Principal Investigator: | Peter Sussner |
Grantee: | Felipe Scherer Vicentin |
Host Institution: | Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil |
Company: | Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação (FEEC) |
Associated research grant: | 20/09838-0 - BI0S - Brazilian Institute of Data Science, AP.PCPE |
Abstract In several areas, there is a need to process data that may only adopt a finite number of values. Examples include:* Grayscale digital images can be represented by matrices whose values are integers between 0 (black) and 255 (white);* Evaluations typically take values in a set of the form {0, 1, ..., n}, where n = 5 or n = 10.To express uncertainties regarding these values,one may resort to so called epistemic intervals.Without loss of generality, one may assume that the set of values is of the form L_n = {0, ..., n}. The class of non-empty subintervals of L_n is equipped with two natural partial orders, namely the inclusion order and the product order, also called the marginal order. However, a partial order is insufficient for applications in automatic final decision making, image edge detection and segmentation. To this end, the given partial order, namely the marginal order of I*_n = {[x, y] | x, y em L_n e x <= y}, denoted <=_n in this work, must be extended to a total order, called a linear extension of <=_n. The goal of this "iniciação científica" undergraduate project is to determine the number of all linear extensions of <=_n and to design an algorithm for generating them. | |
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