PPT-1 Some Thoughts on Complexity of Real-World Problems — Ev

Applications Zbigniew Michalewicz Outline of the talk A few remarks From academia to industry 1998 2014 Complexity of realworld problems A few remarks Writing papers Look at the last section of some paper where there were always some open problems Pick one and work on it until you are able to make a little progress Then write a paper of your own about your progress and dont forget to include an open problems section where you put in everything you were unable to do. Dealing with Troubling Thoughts. Section Contents. Understand why attempts to control our emotions fail. Learn about ‘willingness to experience’. Learn about ‘thinking about thinking’. Understand the link between thoughts and symptoms. Polynomial time O(. n. k. ) input size n, k constant. Tractable problems solvable in polynomial time(Opposite Intractable). Ex: sorting, whether number is prime, shortest path between two vertices . David Reese Professor, College of Information Sciences and Technology. Professor of Computer Science and Engineering. Professor of Supply Chain and Information Systems. The Pennsylvania State University, University Park, PA, USA. Lecture 1: . Intro; Turing machines; . Class P and NP . . . Indian Institute of Science. About the course. Computational complexity attempts . to classify computational . problems. Lecture 1: . Intro; Turing machines; . Class P and NP . . . Indian Institute of Science. About the course. Computational complexity attempts . to classify computational . problems. Getting Stuff Done and Staying Positive. Cathann. Kress, Vice President for Extension and Outreach. WHAT’S CAUSING COMPLEXITY?. More regulation and competition. Internet, other systems, access to information. Fall 2017. http://cseweb.ucsd.edu/classes/fa17/cse105-a/. Today's learning goals . Sipser Ch 5.1, 7 (highlights). Construct reductions from one problem to another.. Distinguish between computability and complexity. November 2014. Presented by. Keitha Segrest & Kathy Allen. SAY WHAT?. In three sentences answer the following . questions:. What . is text complexity?. What. makes it important?. What. will get students out of their comfort zones?. Grades P-2. Session Objectives. 2. Understand the . application component . of . rigor called . for in the Standards, . as defined by guiding documents. Examine . various activities in . A Story of . Grades 3-5. Session Objectives. 2. Understand the . application component . of . rigor called . for in the Standards, . as defined by guiding documents. Examine . various activities in . A Story of . Fall . 2011. Sukumar Ghosh. What is an algorithm. . A finite set (or sequence) of . precise instructions . for performing a computation. . . . Example: Maxima finding. . . procedure . max. (. Today’s class. 1) Lecture. 2) . Blackbox. presentations. 3) Guest Lecture: Jonathan Mills. O. rganized . complexity. organized complexity. study of organization. whole is more than sum of parts. Systemhood. 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. Dave Bice. Dept. of Geosciences. Penn State University. What do I mean by complexity?. Systems whose behavior is non-linear . and thus difficult to predict.. M. ultiple stable states . Hysteresis behavior.