PPT-CS B553: Algorithms for Optimization and Learning

Linear programming quadratic programming sequential quadratic programming Key ideas Linear programming Simplex method Mixedinteger linear programming Quadratic programming Applications Radiosurgery. Combinatorial and Graph Algorithms. Welcome!. CS5234 Overview. Combinatorial & Graph Algorithms. http://. www.comp.nus.edu.sg/~cs5234/. Instructor: . Seth Gilbert. Office: . COM2-204. Office hours: . : Algorithms . for Optimization and Learning. Global optimization. 1. Agenda: . Global Optimization. Local search, optimization. Branch and bound search. Online . search. 3. Global . Optimization. min . for Geometry Processing. Justin Solomon. Princeton University. David . Bommes. RWTH Aachen University. This Morning’s Focus. Optimization.. Synonym(-. ish. ):. . Variational. methods.. This Morning’s Focus. Optimization Algorithms. Welcome!. CS4234 . Overview. Optimization Algorithms. http://. www.comp.nus.edu.sg/. ~gilbert/CS4234. Instructor: . Seth Gilbert. Office: . COM2. -323. Office hours: . by appointment. Univariate. optimization. x. f. (x). Key Ideas. Critical points. Direct methods. Exhaustive search. Golden section search. Root finding algorithms. Bisection. [More next time]. Local vs. global optimization. Ranga Rodrigo. April 6, 2014. Most of the sides are from the . Matlab. tutorial.. 1. Introduction. Global Optimization Toolbox provides methods that search for global solutions to problems that contain multiple maxima or minima. . Classification of algorithms. The DIRECT algorithm. Divided rectangles. Exploration and Exploitation as bi-objective optimization. Application to High Speed Civil Transport. Global optimization issues. Bayesian . Networks. agenda. B. ayesian networks. Chain rule for . Bayes . nets. Naïve Bayes models. Independence declarations. D-separation. Probabilistic inference queries. Purposes of . bayesian. 10 Bat Algorithms Xin-She Yang, Nature-Inspired Optimization Algorithms, Elsevier, 2014 The bat algorithm (BA) is a bio-inspired algorithm developed by Xin-She Yang in 2010. 10.1 Echolocation of Bats Learning. Parameter Learning with Hidden Variables & . Expectation . Maximization. Agenda. Learning probability distributions from . data. in the setting of known structure, . missing data. Expectation-maximization (EM) algorithm. Additive manufacturing (AM) is expanding the range of designable geometries, but to exploit this evolving design space new methods are required to find optimum solutions. Finite element based topology The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand Michael Kantor. CEO and Founder . Promotion Optimization Institute (POI). First Name. Last Name. Company. Title. Denny. Belcastro. Kimberly-Clark. VP Industry Affairs. Pam. Brown. Del Monte. Director, IT Governance & PMO.