'Taylor approximation' presentation slideshows

MA2213 Lecture 7

MA2213 Lecture 7. Optimization. Topics. Chebyshev Polynomials pages 165-171. Finding the Minimum of a Function. Gradient of a Function. Method of Steepest Descent. The Best Approximation Problem pages 159-165. Constrained Minimization.

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Feature extraction: Corners

529 views • 34 slides

Shaping Laser Pulses

Shaping Laser Pulses. by Emily Collier Kansas State University August 2, 2007. Outline. Motivation Experimental Set-Up Theory behind the set-up Results Acknowledgements. Motivation. Attosecond pulses could be used to study time-dependence of atomic dynamics.

434 views • 28 slides

Calculus

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Motion Capture Using Joint Skeleton Tracking and Surface Estimation

Motion Capture Using Joint Skeleton Tracking and Surface Estimation. Juergen Gall Carsten Stoll Edilson de Aguiar Christian Theobalt Bodo Rosenhahn Hans-Peter Seide CVPR 2009. Outline. Introduction Skeleton-based Pose Estimation Experiment Conclusion . Local Optimization.

286 views • 11 slides

Section 12.10

Section 12.10. The Taylor Approximation to a Function. TAYLOR POLYNOMIAL OF ORDER n. The Taylor polynomial of order n based at a , P n ( x ), for the function f is the n th partial sum of the Taylor series at a for f . Thus,. MACLAURIN POLYNOMIALS.

56 views • 5 slides