PPT-Lattice Sparsification and the Approximate Closest Vector Problem

Daniel Dadush Centrum Wiskunde en Informatica Joint work with Gabor Kun Renyi Institute Outline Norms Lattices and Lattice Problems Shortest amp Closest Vector Problems SVP CVP. for Computing . Treewidth. Bart M. P. Jansen. Insert. «. Academic. unit» . on every page:. 1 Go to the menu «Insert». 2 Choose: Date and time. 3 Write the name of your faculty or department in the field «Footer». Voronoi. Graph. and the. Closest Vector Problem with Preprocessing. Daniel . Dadush. Centrum . Wiskunde. . en. . Informatica. Joint . work with . Nicolas . Bonifas. (. École. . Polytechnique. . Sparsification. and the Approximate Closest Vector Problem. Daniel . Dadush. Centrum . Wiskunde. . en. . Informatica. Joint work with . Gabor Kun (. Renyi. . Institute). Outline. Norms, Lattices and Lattice Problems:. Hardware: Challenges and Opportunities. Author. : Bingsheng He. (Nanyang Technological University, Singapore) . Speaker. : . Jiong . He . (Nanyang Technological University, Singapore. ). 1. What is Approximate Hardware?. By Venkatesh Ganti, Mong Li Lee, and Raghu Ramakrishnan. CSE6339 – Data exploration. Raghavendra Madala. In this presentation…. Introduction. Icicles. Icicle Maintenance. Icicle-Based Estimators. Robert Krauthgamer, . Weizmann Institute of Science. WorKer. 2015, . Nordfjordeid. TexPoint. fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. Graph . Sparsification. IWM 2015--2-4 April, 2015. Iffat. . Jahan. Ramjas. College, University of Delhi. Fuzzy sets were introduced by . Zadeh. with a view to apply it in approximate reasoning. . If the closed unit interval [0,1] is replaced by a lattice . g. recall the stages involved in the formation of a solid ionic crystal from its elements and that this leads to a measured value for the lattice energy (students will not be expected to draw the full Born-Haber cycles). Andrew B. Kahng, . Seokhyeong Kang . VLSI CAD LABORATORY, . UC. San Diego. 49. th. Design Automation Conference. June 6. th. , 2012. Outline. Background and Motivation. Accuracy Configurable Adder Design. Ravi Sandhu. LATTICE-BASED MODELS. Denning's axioms. Bell-LaPadula model (BLP) . Biba model and its duality (or equivalence) to BLP. Dynamic labels in BLP. DENNING'S AXIOMS. < SC, . . , . . >. Ulya. . R. . Karpuzcu. ukarpuzc@umn.edu. . 12/01/2015. Outline. Background. Pitfalls & Fallacies. Practical Guidelines. 2. 12/01/2015. On Quantification of Accuracy Loss in Approximate Computing. University of Washington. Adrian Sampson, . Hadi. Esmaelizadeh,. 1. Michael . Ringenburg. , . Reneé. St. Amant,. 2. . Luis . Ceze. , . Dan Grossman. , Mark . Oskin. , Karin Strauss,. 3. and Doug Burger. . Fluids. . . Sauro Succi. 1. LB For . fluids. 2. The . general. . idea of LB . is. to . write. down a . set . of. h. yperbolic. . equations. for a discrete set of . movers. (“. Bravais lattice, real lattice vector . R. , reciprocal lattice vector . K. , point group, space group, group representations, Bloch theorem. Discrete lattices. 1D. 2D. 3D. a. Bravais lattice: each unit cell has only one atom (5 types in 2D).