PPT-CMPT 120 Functions and Decomposition

Summer 2012 Instructor Hassan Khosravi Defining Functions We have already seen how several functions work in Python rawinput range int and str A function must be given arguments . Introduction to Operating Systems. . Introduction to Deadlocks. Acknowledgement: some slides are taken from Anthony D. Joseph’s course material at UC Berkeley . and Dr. Janice Reagan’s course material at SFU. dcb+ a+cd+ . This function is not AND-bi-decomposable with variable sets {a,b} and {c,d}, as can be verified by drawing its Karnaugh map, yet it satisfies decomposition property w.r.t. variables {a,b} Mihir. . Choudhury. ,. . Kartik. . Mohanram. (. ICCAD’10 best paper nominee). Presentor. : . ABert. Liu. Introduction. Terminology. Algorithm. Illustration. Experimental Result. Conclusion. Outline. Decomposition. Decomposition. . – The breakdown of organic matter into simpler inorganic molecules.. Release of energy. Rate of Decomposition. How fast organic matter decomposes varies dramatically.. Evasive Functions. Boaz . Barak, . Nir. . Bitansky. , Ran Canetti,. Yael Tauman . Kalai, . Omer . Paneth, . Amit Sahai. Program Obfuscation . Obfuscated Program. Approved . Document . Signature . Obfuscation. . can. not . be. . seen. Rainer Kaenders. University . of. Cologne. GeoGebra Conference Linz 2011. Functions. . can. not . be. . seen. … but . can. . be. . represented. . GeoGebra . can. . AlgorithmicNumberTheorySymposiumIthacaNewYorkMaAlsoDetofComputerScienceThReportTRCornellUniv thecharacteristicoftheeld Zippel shoedhowtodecomposerationalInthispaperweaddresst Phase: Design. Janice Regan, 2008. 2. Map of design phase. DESIGN. HIGH LEVEL. DESIGN. Modularization. User Interface. Module Interfaces. Data. . Persistance. Subsystem. User Manual. architecture. You will learn . how to write functions that can be used to: decompose large problems, and to reduce program size by creating reusable sections.. Example Programs. Location (via the WWW):. http://pages.cpsc.ucalgary.ca/~. . Operating Systems. Processes. Multiprogramming. When multiple programs share the same processor . An example of . pseudoparallelism. Processes share processor (each get a short turn) so that in a perceptible length of time it appears processes run in parallel . . Mutual Exclusion. © Janice Regan, CMPT 300, 2007-2016 . 1. Implementation. Now we have the basic ideas we need. How do we actually implement mutual exclusion?. There are several approaches. Interrupt disabling. Kazhdan. [. Taubin. , 1995] . A Signal Processing Approach to Fair Surface . Design. [. Desbrun. , . et al.. , 1999] Implicit Fairing of Arbitrary Meshes…. [. Vallet. and Levy, 2008] . Spectral Geometry Processing with Manifold . usually. . [1-3]. , . which cannot describe the scanned object exactly. In order to enlarge the visual field instead of considering the neighborhood of pixel only, we adopt deep learning technique to solve the multi-material decomposition . Parameter passing. Function return values. Function specific style requirements (rules of thumb for good style) . Documenting functions. New Problem: Local Variables Only Exist Inside A Function. def display():.