'Newton method' diaporamas de présentation

Optimization Methods

Optimization Methods. Decision making. Examples: determining which ingredients and in what quantities to add to a mixture being made so that it will meet specifications on its composition allocating available funds among various competing agencies

1.25k views • 70 slides

Roadmap

Roadmap. Introduction Intra-frame coding Inter-frame coding Object-based and scalable video coding * Why object-based? motion segmentation, shape coding, R-D optimization scalability issues Spatial/temporal/quality scalabilities. Object-based Video Coding.

843 views • 65 slides

Cavity Soliton Dynamics

Acknowledgements: Thorsten Ackemann, Damia Gomila, Graeme Harkness, John McSloy, Gian-Luca Oppo, Andrew Scroggie, Alison Yao (Strathclyde) FunFACS and PIANOS partners. Cavity Soliton Dynamics. William J Firth Department of Physics, University of Strathclyde, Glasgow, Scotland.

835 views • 61 slides

EE 616 Computer Aided Analysis of Electronic Networks Lecture 5

EE 616 Computer Aided Analysis of Electronic Networks Lecture 5. Instructor: Dr. J. A. Starzyk, Professor School of EECS Ohio University Athens, OH, 45701. 09/19/2005. Note: materials in this lecture are from the notes of EE219A UC-berkeley

607 views • 51 slides

WK1 - Introduction

561 views • 49 slides

Constraint Reasoning for Differential Models

Constraint Reasoning for Differential Models. Jorge Cruz CENTRIA - Centre for Artificial Intelligence DI/FCT/UNL June 2009. PRESENTATION OUTLINE. Constraint Reasoning. Constraint Reasoning for Differential Models. Examples: Drug Design / Epidemic Study. Conclusions and Future Work.

579 views • 48 slides

Variational methods for retrieving cloud, rain and hail properties combining radar, lidar and radiometers

Variational methods for retrieving cloud, rain and hail properties combining radar, lidar and radiometers. Robin Hogan Julien Delanoe Department of Meteorology, University of Reading, UK. Outline.

580 views • 47 slides

EE 616 Computer Aided Analysis of Electronic Networks Lecture 5

EE 616 Computer Aided Analysis of Electronic Networks Lecture 5. Instructor: Dr. J. A. Starzyk, Professor School of EECS Ohio University Athens, OH, 45701. 09/19/2005. Note: materials in this lecture are from the notes of EE219A UC-berkeley

597 views • 47 slides

EE 616 Computer Aided Analysis of Electronic Networks Lecture 5

EE 616 Computer Aided Analysis of Electronic Networks Lecture 5. Instructor: Dr. J. A. Starzyk, Professor School of EECS Ohio University Athens, OH, 45701. 09/19/2005. Note: materials in this lecture are from the notes of EE219A UC-berkeley

571 views • 47 slides

Global Optimization Techniques in Computational Electromagnetics

Global Optimization Techniques in Computational Electromagnetics. Zbyn?k Raida. Dept. of Radio Electronics Brno University of Technology Brno, Czechia. Outline. What does the optimization mean

603 views • 42 slides

An Introduction to Independent Component Analysis (ICA)

An Introduction to Independent Component Analysis (ICA). ??? ????????????? ?????????????. The Principle of ICA: a cocktail-party problem. x 1 (t) =a 11 s 1 (t) +a 12 s 2 (t) +a 13 s 3 (t) x 2 (t) =a 21 s 1 (t) +a 22 s 2 (t) +a 12 s 3 (t)

676 views • 39 slides

Ultrafast processes in molecules

560 views • 38 slides

Bundle Adjustment : A Tutorial

2.4k views • 37 slides

Chap 5. Numerical Methods for Unconstrained Optimum Design

Chap 5. Numerical Methods for Unconstrained Optimum Design. Nonlinear Programming(NLP) for unconstrained analytical method using K-T cond is difficult to use for engineering problems since ? need to solve large dimension ? nonlinearity ? cost/constraint funcs are implicit in terms of dv.

555 views • 29 slides

Estimation of Life-Cycle Consumption

Estimation of Life-Cycle Consumption. Zhe Li (PhD Student) Stony Brook University. Introduction. A CLASSICAL METHOD of moments estimator Instead using analytically form, replace the expected response function by a simulation result ---- the method of simulated moments (MSM).

366 views • 21 slides

Rigid Origami Simulation

Rigid Origami Simulation. Tomohiro Tachi The University of Tokyo http://www.tsg.ne.jp/TT/. About this presentation. For details, please refer to Tomohiro Tachi, "Simulation of Rigid Origami" in Origami^4 : proceedings of 4OSME (to appear). 1. Introduction. Rigid Origami?.

1.16k views • 18 slides

Interval Newton Method

Interval Newton Method. Jorge Cruz DI/FCT/UNL April 2013. Interval Extension of the Newton Method. Newton Function, Newton Step and Newton Narrowing. Extended Interval Arithmetic for the Interval Newton Method. Properties of the Interval Newton Method. Example of the Interval Newton Method.

557 views • 18 slides

Unconstrained Optimization

Unconstrained Optimization. Rong Jin. Logistic Regression. The optimization problem is to find weights w and b that maximizes the above log-likelihood. How to do it efficiently ?. Gradient Ascent. Compute the gradient Increase weights w and threshold b in the gradient direction.

1.22k views • 16 slides

ESTIMATION OF OIL SATURATION

288 views • 15 slides

Research Updates

208 views • 12 slides