PPT-Communication Complexity

Rahul Jain Centre for Quantum Technologies and Department of Computer Science National University of Singapore TexPoint fonts used in EMF Read the TexPoint manual before you delete this box . mcgillca Abstract We obtain a lower bound of 1 12 on the party randomized communication complexity of the Disjointness function in the Number on the Forehead model of mul tiparty communication In particular this yields a bound of 1 when is a constant Progress and Obstacles. Rotem Oshman. ADGA 2013. Overview: Network Models. CONGESTED CLIQUE. ASYNC MESSAGE-PASSING. LOCAL. CONGEST / general network. X. Talk Overview. Lower bound techniques. CONGEST general networks: reductions from 2-party communication complexity. Disjointness. : . The Communication Complexity of Finding the Intersection. Grigory. . Yaroslavtsev. http://grigory.us. Joint with Brody, . Chakrabarti. , . Kondapally. and Woodruff. Communication Complexity . April 26, 2013. Mark Braverman. Princeton University. Based on joint work with Ankit . Garg. , Denis . Pankratov. , and . Omri. Weinstein. Overview: information complexity. Information complexity . :: . Serge Massar. Physical. . Theories. Classical. Quantum. Generalised. . Probablisitic. . Theories. (GPT). Factorisation of. Communication / . Slack. . Matrix. Linear. SDP. Conic. Extended. Formulations. Wyvonnia W. . Walker, MA, . GRPA. . The Complexity of a Hoarder . What is a Hoarder as defined by the DSM . V. .. Am I a Hoarder?. What I should know about Hoarding. . How can we help?. Resources. The Complexity of a Hoarder . www.robertswright.ca. Breaking-down the Silos. “Creating active, healthy communities through collaboration. ”. February 23, 2012. Gordon R. Snow Building. Collaboration:. Differential Definition. Andris Ambainis (Latvia), . Martins Kokainis (Latvia), . Robin Kothari (MIT). communication complexity. Alice holds . x. X. , Bob holds . y. Y. .. D. cc. (f). - minimum amount of communication to compute . Parallel Computation. Complexity Measures for Parallel Computation. Problem parameters:. n. index of problem size. p. number of processors. Algorithm parameters:. t. p. running time on p processors. Toniann. . Pitassi. University of Toronto. 2-Party Communication Complexity. [Yao]. 2-party communication: . each party has a dataset. . Goal . is to compute a function f(D. A. ,D. B. ). m. 1. m. 2. June 1, 2013. Mark Braverman. Princeton University. a tutorial. Part I: Information theory. Information theory, in its modern format was introduced in the 1940s to study the problem of transmitting data over physical channels. . IKNOWLEDGE AND COMPETENCE VALUERUBRICor more informationcontact valueaacuorgThe VALUE rubrics were developed by teams of faculty experts representing colleges and universities across the United States Lijie. Chen. MIT. Today’s Topic. Background. . What is Fine-Grained Complexity?. The Methodology of Fine-Grained Complexity. Frontier: Fine-Grained Hardness for Approximation Problems. The Connection. What to Expect in this Presentation. Overview of the importance of . interprofessional. collaboration . Synergy Quiz Activity. Challenges of . interprofessional. collaboration. Activities. Summary .