'Implicit method' diaporamas de présentation

Model Selection for SVM & Our intent works

Model Selection for SVM & Our intent works. Songcan Chen Feb. 8, 2012. Outline. Model Selection for SVM Our intent works. Model Selection for SVM. Introduction to 2 works. Introduction to 2 works. Model selection for primal SVM [MBB11, MLJ11] Selection of Hypothesis Space

1.12k views • 87 slides

Capstone Final Presentation Spring 2003

Capstone Final Presentation Spring 2003. Thin Film flow. Capstone Final Presentation Spring 2003. Thin Film flow. Capstone Final Presentation Spring 2003. Thin Film flow. Capstone Final Presentation Spring 2003. Thin Film flow. Capstone Final Presentation Spring 2003. Thin Film flow.

665 views • 51 slides

Interface Dynamics in Epitaxial Growth

Interface Dynamics in Epitaxial Growth. Russel Caflisch Mathematics Department, UCLA. Collaborators. UCLA: Anderson, Connell, Fedkiw, Gibou, Kang, Merriman, Osher, Petersen (GaTech), Ratsch HRL: Barvosa-Carter, Owen, Grosse, Gyure, Ross, Zinck Imperial: Vvedensky

566 views • 46 slides

Discovering Geographical Topics In The Twitter Stream

Discovering Geographical Topics In The Twitter Stream. PRESENTED BY TEAM-9. Liu,Zhi Karthik Kumar Rangineni. Discovering Geographical Topics In The Twitter Stream. Content. Introduction Related Work Model Experiment Conclusion.

641 views • 46 slides

Adaptive Multi-scale Modeling

Implicit High-Order Time-Integrators for Adaptive Multi-scale Modeling of the Atmosphere and Ocean * Frank Giraldo Department of Applied Mathematics Naval Postgraduate School, Monterey CA USA http://faculty.nps.edu/fxgirald

561 views • 37 slides

Simulation of fracture phenomena in polycristalline microsystems by a

330 views • 22 slides

Time-Marching Numerical Methods

Time-Marching Numerical Methods. Basics of Time-Marching Methods. The finite-volume formulation yielded the ordinary differential equation This equation is non-linear in that and The variable t is time and indicates that the solution may be time-varying

211 views • 18 slides

EEE 431 Computational Methods in Electrodynamics

EEE 431 Computational Methods in Electrodynamics. Lecture 5 By Dr. Rasime Uyguroglu Rasime.uyguroglu@emu.edu.tr. FINITE DIFFERENCE METHODS (cont). Finite Difference Method. Solve the diffusion Equation (Parabolic D.E.) Subject to the boundary conditions: And initial condition.

242 views • 11 slides

AE/ME 339 Computational Fluid Dynamics (CFD) K. M. Isaac Professor of Aerospace Engineering

AE/ME 339 Computational Fluid Dynamics (CFD) K. M. Isaac Professor of Aerospace Engineering. Computational Fluid Dynamics (AE/ME 339) K. M. Isaac MAEEM Dept., UMR. Quiz 1. Computational Fluid Dynamics (AE/ME 339) K. M. Isaac

305 views • 7 slides