'Linear case' presentation slideshows

1.34k views • 124 slides

Nonlinear Systems: Properties and Tests

Nonlinear Systems: Properties and Tests. M. Sami Fadali Professor EBME University of Nevada Reno. Outline. Linear versus nonlinear. Nonlinear behavior. Controllability and observability. Stability. Passivity. State Variables.

1.5k views • 70 slides

Discrete Choice Modeling

William Greene Stern School of Business New York University. Discrete Choice Modeling. Part 5. Panel Data Models. Application: Health Care Panel Data.

671 views • 59 slides

Support Vector Machines (SVMs) Chapter 5 (Duda et al.)

Support Vector Machines (SVMs) Chapter 5 (Duda et al.). CS479/679 Pattern Recognition Dr. George Bebis. Learning through empirical risk minimization. Estimate g(x) from a finite set of observations by minimizing an error function, for example, the training error or empirical risk :.

560 views • 36 slides

Support Vector Machine

Support Vector Machine. V. Vapnik. Today: Support Vector Machine (SVM). A classifier derived from statistical learning theory by Vapnik, et al. in 1992

525 views • 35 slides

Support Vector Machine & Its Applications

508 views • 35 slides

16. Mean Square Estimation

16. Mean Square Estimation. Given some information that is related to an unknown quantity of interest, the problem is to obtain a good estimate for the unknown in terms of the observed data. Suppose represent a sequence of random

340 views • 33 slides

Course outline I

Course outline I. Introduction Game theory Price setting monopoly oligopoly Quantity setting monopoly oligopoly Process innovation. Homogeneous goods. Monopoly (price setting). Introduction Demand function Revenues, costs, profits Profit maximizing price Price discrimination

553 views • 33 slides

Experimental evidence for an Optical Spring

Experimental evidence for an Optical Spring. Experimental set up (LFF) The data and a simple model Evidence of the optical spring, linear data Evidence of the optical spring in the non linear data. The Low Frequency Facility.

438 views • 33 slides

An Introduction to Support Vector Machines

An Introduction to Support Vector Machines. Presenter: Celina Xia University of Nottingham. Outline. Maximizing the Margin Linear SVM and Linear Separable Case Primal Optimization Problem Dual Optimization Problem Non-Separable Case Non-Linear Case Kernel Functions Applications.

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Support Vector Machine & Its Applications

462 views • 31 slides

Investigation of Decision Feedback Equalizer in Optical Systems

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Rosen-Zener Tunneling and Rosen-Zener Ramsey Interferometer

Condensed matter physics of cold atoms. Rosen-Zener Tunneling and Rosen-Zener Ramsey Interferometer. Li-Bin Fu ( ??? ) Institute of applied physics and computational mathematics, Beijing. Beijing, Sep 22 2009. Collaborators. Beijing institute of applied physics and computational

407 views • 29 slides

SHEAR STRESS

SHEAR STRESS. A. M. Artoli 1 , D. Kandhai 2 , H.G. Hoefsloot 3 , A.G. Hoekstra 1 and P.M.A. Sloot 1. Shear stress plays a dominant role in biomechanical deseases related to blood flow problems. . IN LATTICE BOLTZMANN. Motivation. Aorta with a bypass.

600 views • 28 slides

Xiaochun Wang

Tide Simulation Using Regional Ocean Modeling System (ROMS). Xiaochun Wang. Co-author: Changming Dong, Yi Chao, Zhijin Li, James McWillams . Contributions from: Koji Matsumoto, John Farrara, Jei-kook Choi, Quoc Vu. ROMS/TOMS Workshop Oct. 24-26 2005. Three Level Nested ROMS.

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480 views • 22 slides

1D element for large strains and large deformations

1D element for large strains and large deformations. Linear case Non-linear case. Summary.

252 views • 19 slides

On the Consistency of EKF-SLAM: Focusing on the Role of Observation Model

On the Consistency of EKF-SLAM: Focusing on the Role of Observation Model. Amir Tamjidi and Hamid Taghirad Electrical and Computer Engineering Department, K.N. Toosi University of Technology Ali Agha Computer Science and Engineering Department, Texas A&M University. Outline.

365 views • 18 slides

Optimal solution error covariances in nonlinear problems of variational data assimilation

Optimal solution error covariances in nonlinear problems of variational data assimilation. Victor Shutyaev Institute of Numerical Mathematics, Russian Academy of Science, Moscow Igor Gejadze Department of Civil Engineering, University of Strathclyde, Glasgow, UK

316 views • 17 slides

Why NonLinear Physics?

Why NonLinear Physics?. Everything is Nonlinear Macro Systems Gauge Theory, General Relativity Qualitative Differences from Linear Case Chaos / Fractals Solitons Self-Organization / Complexity. History. Rayleigh-Benard: Patterns Russell: Soliton Waves Poincare: 3-Body Problem

255 views • 8 slides