PPT-Discrete Optimization Lecture 1

M Pawan Kumar pawankumarecpfr Slides available online http cvnecpfr personnel pawan Outline Problem Formulation Energy Function Energy Minimization Computing min marginals . 5.1 Discrete-time Fourier Transform . Representation for discrete-time signals. Chapters 3, 4, 5. Chap. 3 . Periodic. Fourier Series. Chap. 4 . Aperiodic . Fourier Transform . Chap. 5 . Aperiodic . Surfaces. 2D/3D Shape Manipulation,. 3D Printing. CS 6501. Slides from Olga . Sorkine. , . Eitan. . Grinspun. Surfaces, Parametric Form. Continuous surface. Tangent plane at point . p. (. u,v. ). is spanned by. Describing Inverse Problems. Syllabus. Lecture 01 Describing Inverse Problems. Lecture 02 Probability and Measurement Error, Part 1. Lecture 03 Probability and Measurement Error, Part 2 . Lecture 04 The L. Variational. Time Integrators. Ari Stern. Mathieu . Desbrun. Geometric, . Variational. Integrators for Computer Animation. L. . Kharevych. Weiwei. Y. Tong. E. . Kanso. J. E. Marsden. P. . Schr. ö. 5.1 Discrete-time Fourier Transform . Representation for discrete-time signals. Chapters 3, 4, 5. Chap. 3 . Periodic. Fourier Series. Chap. 4 . Aperiodic . Fourier Transform . Chap. 5 . Aperiodic .  . A Sampled or discrete time signal x[n] is just an ordered sequence of values corresponding to the index n that embodies the time history of the signal. A discrete signal is represented by a sequence of values x[n] ={1,2,. Introductory Lecture. What is Discrete Mathematics?. Discrete mathematics is the part of mathematics devoted to the study of discrete (as opposed to continuous) objects.. Calculus deals with continuous objects and is not part of discrete mathematics. . Large-scale Structure from Motion. David . Crandall. School of Informatics and Computing. Indiana University. Andrew Owens. CSAIL. MIT. Noah. . Snavely. . and . Dan . Huttenlocher. Department of Computer Science. 13. . Tuesday, October 4, . 2016. Textbook: Sections 7.3, 7.4, . 8.1. , 8.2, 8.3. • . Identify, and resist the temptation to fall for, the “gambler’s fallacy. ”. • Define “random variable” and identify the difference between discrete and continuous.. Large-scale Structure from Motion. David . Crandall. School of Informatics and Computing. Indiana University. Andrew Owens. CSAIL. MIT. Noah. . Snavely. . and . Dan . Huttenlocher. Department of Computer Science. Marek . Zrałek. University of Silesia, Katowice. Workshop on . Discrete Symmetries and Entanglement. 10. 06. 2017, . Kraków. Outline. Introduction. Discrete symmetries in Space Time and charge . c. Announcements:. HW . 4. . posted, . due Tues May 8 at 4:30pm. . No late HWs as solutions will be available immediately.. Midterm details on next page. HW . 5 will . be posted . Fri May 11. , . due . Backus-Gilbert Theory. and. Radon’s Problem. Syllabus. Lecture 01 Describing Inverse Problems. Lecture 02 Probability and Measurement Error, Part 1. Lecture 03 Probability and Measurement Error, Part 2 . Equations. Outline. • Discrete-time state equation from . solution of . continuous-time state equation.. • Expressions in terms of . constituent matrices. .. • Example.. 2. Solution of State Equation.