'Space dimension' diaporamas de présentation

Exact bayesian estimation ? Particle filters

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So we pick our space dimension to be 2D axisymmetric And press next

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From the Beginning to Man: How God declares His love to us

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Appendices 10.A & 10.B: An Educational Presentation

Appendices 10.A & 10.B: An Educational Presentation. Presented By: Joseph Ash Jordan Baldwin Justin Hirt Andrea Lance. History of Heat Conduction. Jean Baptiste Biot (1774-1862) French Physicist Worked on analysis of heat conduction

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Influence of turbulence on the dynamo threshold

Influence of turbulence on the dynamo threshold. B. Dubrulle, GIT/SPEC N. Leprovost, R. Dolganov, P. Blaineau J-P. Laval and F. Daviaud. Basic equations. Maxwell equations. Navier-Stokes equations. Field strectching. Field diffusion. Competition characterized by magnetic Reynolds number.

511 views • 38 slides

GRAVITY AS AN EMERGENT FORCE Erik Verlinde University of Amsterdam

ICHEP conference, Paris , 22/07/10. GRAVITY AS AN EMERGENT FORCE Erik Verlinde University of Amsterdam. Emergence. Current Paradigm. FUNDAMENTAL FORCES: carried by elementary particles. Emergence of Particles and Forces. Gravity as an Emergent Force.

667 views • 37 slides

Fractional charge in 1d

Consider case in 1+1 d , i.e. one space dimension + time. Fractional charge in 1d. (see e.g. R.Rajaraman, cond-mat/0103366) . Fractional Charge in Field Theory (in 1 and 3 d) was introduced by Jackiw-Rebbi, PRD (1976). Additional static (time-independent) solutions: soliton sector.

540 views • 35 slides

Time

Introduction to Metaphysics Lecture 9. Time. Two Intuitions. Time flows and, as it passes, things change. Suppose that a God-like being, existing outside of time, observes the universe. She would see a static, unchanging block. Some Questions. Does time flow?

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MULTICRITICAL POINTS

CRITICAL DIMENSIONS OF STRONGLY INTERACTING ANISOTROPIC SYSTEMS Babich Artem Institute of Electrophysics and Radiation Technologies NAS of Ukraine.

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Number-Theoretic Aspects of Matter Agglomeration/Aggregation Modelling in Dimension d

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Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words

Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words. Analysis and Recognition of Video Data Tamir Nuriel. Flowchart of the approach. Interest Points Detector. Gaussian smoothing in the space dimension. Gabor filters in the time dimension.

228 views • 10 slides