PPT-Parameterized Approximation Scheme for the Multiple Knapsac

Problem Yan Lu 20110426 Klaus Jansen SODA 2009 CPSC669 Term ProjectPaper Reading 1 Problem Definition 2 Approximation Scheme 21 Instances with similar capacities 22 General cases Outline. . of Edit Distance. Robert Krauthgamer, . Weizmann Institute of Science. SPIRE 2013. TexPoint. fonts used in EMF. . Read the . TexPoint. manual before you delete this box. .: . A. A. A. A. A. A. A. Sometimes we can handle NP problems with polynomial time algorithms which are guaranteed to return a solution within some specific bound of the optimal solution. within a constant . c. . of the optimal. Algorithms. and Networks 2014/2015. Hans L. . Bodlaender. Johan M. M. van Rooij. C-approximation. Optimization problem: output has a value that we want to . maximize . or . minimize. An algorithm A is an . Reuven. Bar-. Yehuda. . Gleb. . Polevoy. Dror. . Rawitz. . . Technion. 1. Multiple interference. 2. . w. e can . approximate. to . . For small interferences. Interval selection with multiple interference. δ. -Timeliness. Carole . Delporte-Gallet. , . LIAFA . UMR 7089. , Paris VII. Stéphane Devismes. , VERIMAG UMR 5104, Grenoble I. Hugues Fauconnier. , . LIAFA . UMR 7089. , Paris VII. LIAFA. Motivation. The Basics. 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». convection scheme . in . the 5km resolution . operational system. Kengo. . Matsubayashi. . Numerical Prediction Division, . Japan . Meteorological Agency. with . Tabito. Hara, . Kohei. . Aranami. Exercise 1. Say you have a signature scheme. SScheme. = (. KGen. , Sign, . Vf. ). Say this scheme is unforgeable against CMA. Modify the signature algorithm:.  . Is this still unforgeable against CMA? . Parameterization. Parameterization is used to change the value of any variable at run time.. Following can be parameterized in a script file:-.  . URL portion.  . Header portion.  . BODY portion. using Parameterized Program Equivalence. University of California, San Diego. Sudipta. . Kundu. Zachary . Tatlock. Sorin. Lerner. Compiler Correctness. Difficult to develop reliable compilers:. large, complex programs. When the best just isn’t possible. Jeff Chastine. Approximation Algorithms. Some NP-Complete problems are too important to ignore. Approaches:. If input small, run it anyway. Consider special cases that may run in polynomial time. D. Terzani. 1. , P. Londrillo. 2. , L. Labate. 1,3. , P. Tomassini. 1. , L. A. Gizzi. 1,3. 1. INO – CNR, Section of Pisa. 2. INAF. 3. INFN, Section of Pisa. 4. th. European Advanced Accelerator Concepts Workshop. PI: Cristiana Stan, George Mason University/COLA. Atlantic wind-shear and its relationship with ENSO. S. ummer precipitation in the . eastern . U.S. . . Acknowledgement: . Xiaojie. Zhu and Li . Xu. Slide . 1. Allocation sizes for BCC in OFDMA. Date:. . 2016-01-18. Authors:. January 2016. Kentaro. Taniguchi, Toshiba. Slide . 2. Background. Agreement on Coding Scheme [1]:. LDPC . is the only coding scheme in the HE PPDU Data field for allocation sizes of .