PPT-Complexity Measures for

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. How to celebrate it, leverage it, and NOT avoid it!. Are YOU sufficiently complex?. Simple = Best. FROM OCCAM’S . RAZOR. COMPLEXITY. Are YOU sufficiently complex?. Simple = Best. Simple but no. Simpler. English Language Arts Common Core State Standards. Illinois State Board of Education . English Language Arts Content Specialists. Hosted by Erik Iwersen, June, 2012. . Text Complexity. . “. The Common Core Standards hinge on students encountering appropriately complex texts at each grade level in order to develop the mature language skills and the conceptual knowledge they need for success in school and life. Kristopher Kyle. 3-5-2015. Who is this guy?. Interested in:. L2 Writing Quality/Development. Assessment. Natural Language Processing. Productive Vocabulary. Productive Syntax. Outline of Workshop. Why measure linguistic complexity?. &. The KY Core Academic Standards for ELA and Literacy in History/Social Studies, Science & Technical Subjects. Included within the . Standards . is an enhanced focus on . text complexity. .. Lecture 1: . Intro; Turing machines; . Class P and NP . . . Indian Institute of Science. About the course. Computational complexity attempts . to classify computational . problems. How Understanding Complexity Promotes Simplicity. Why is writing software hard?. ^. great. http://www.infoq.com/presentations/Simple-Made-Easy. Our duty as software architects is to understand and manage complexity. Theophilus Benson (tbenson@cs.wisc.edu). Aditya Akella (akella@cs.wisc.edu). David A Maltz (dmaltz@microsoft.com). Enterprise Networks. Intricate logical and physical topologies. Diverse network devices. . Text Complexity. 1. PA . Common Core. Text Complexity. Standards. Overview . Writing. Evaluating. Curriculum. Toolbox. 2. Let’s get acquainted!. Connect to the Internet . Navigate to: . http://www.pdesas.org. Selecting Quality Text. 1. 2. Session Goals. Develop . reviewers’ ability to evaluate the complexity, quality and scope of texts selected for instructional materials. As reviewers learn to evaluate texts, they will be able to determine the ability of the text to: . 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. What is the best way to measure the time complexity of an algorithm?. - Best-case run time?. - Worst-case run time?. - Average run time?. Which should we try to optimize?. Best-Case Measures. How can we modify almost any algorithm to have a good best-case running time?. District Learning Day. Location goes here. Session time goes here. Date goes here. Do Now. Underline. the major points. . Use a question mark . (. ?. ) for keywords or phrases that are confusing or unknown to you or questions that you have during the reading. Be sure to write your question(s). . 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. Alexander A. . Razborov. University of . Chicago. Steklov. . Mathematical Institute . IAS, . Avi. is 60 conference, October 5, 2016. Subtitle: on my . (and others’) largely unsuccessful . attempts to make .