Origins of NP and P (Distinguished Lecture)
NP and P have origins in “the marriage theorem”:
A matchmaker has as clients the parents of some boys and some girls where some boy-girl pairs love each other.
The matchmaker must find a marriage of all the girls to distinct boys they love or else prove to the parents that it is not possible. The input to this marriage problem is usually imagined as a bipartite graph G with boy nodes, girl nodes, and edges between them representing love.
A possible legal marriage of some of the girls to some of the boys is represented by a subset M of the edges of G, called a matching.
The matchmaker’s problem is to find a matching which hits all the girl nodes Or else prove to the parents that there is none…
Full announcement at https://thor.inesc-id.pt/jack.edmonds/
Jack Edmonds is one of the creators of combinatorial optimization. He attended George Washington University before pursuing graduate study at the University of Maryland. He received his master’s degree in 1959 and began work at the National Bureau of Standards (NBS). He moved to the University of Waterloo in 1969, where he supervised a dozen PhD students. Throughout his career, he has influenced and assisted numerous young researchers. In the 1960s, Jack Edmonds developed a theory of matroid partition and intersection that still stands as one of the most profound and thorough explorations in the field. He illustrated the deep interconnections between combinatorial minmax theorems, polyhedral structure, duality theory, and efficient algorithms. He published many influential papers on these topics, with the one published in 1972 on theoretical improvements in algorithmic efficiency for network flow problems with Richard Karp leading to one of the most well known algorithms among nowadays CS students. He was awarded the John von Neumann Theory Prize for his contributions as a researcher and educator in 1985. Jack Edmonds retired from teaching in 1999 and was elected into the inaugural Fellows class of the Institute for Operations Research and the Management Sciences.
Alexandre Paulo Lourenço Francisco
FA3 – Informatic Department – IST Alameda
Mathematics, Physics & Machine Learning Seminar Series (Online)
The Mathematics, Physics & Machine Learning seminar series has started on October 2020 and runs until March 2021.
The seminars aim to bring together mathematicians and physicists interested in machine learning (ML) with ML and AI experts interested in mathematics and physics, with the goal of introducing innovative Mathematics and Physics-inspired techniques in Machine Learning and, reciprocally, applying Machine Learning to problems in Mathematics and Physics.
Attendance is free but registration is required.
More information is available here.
International European Conference on Parallel and Distributed Computing
The 27th International European Conference on Parallel and Distributed Computing (Euro-Par 2021) will take from August 30 to September 3 2021 in Lisbon.
Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-fledged applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects.
The 2021 edition of Euro-Par will be organized as a collaboration between INESC-ID and Instituto Superior Técnico (IST).
– Abstract Submission: February 5, 2021
– Paper Submission Deadline: February 12, 2021
– Author Notification: April 30, 2021
– Camera-Ready Papers: June 6, 2021
More information is available here.