'Approximations' presentation slideshows

Advanced Computer Vision

Advanced Computer Vision . Chapter 5 Segmentation. Presented by: ??? & ??? r99922094@ntu.edu.tw 0928083710. Segmentation (1/2). 5.1 Active Contours 5.2 Split and Merge 5.3 Mean Shift and Mode Finding 5.4 Normalized Cuts 5.5 Graph Cuts and Energy-based Methods. Segmentation (2/2).

921 views • 69 slides

Advanced Computer Vision

Advanced Computer Vision . Chapter 5 Segmentation. Presented by: ??? & ??? r99922094@ntu.edu.tw 0928083710. Segmentation (1/2). 5.1 Active Contours 5.2 Split and Merge 5.3 Mean Shift and Mode Finding 5.4 Normalized Cuts 5.5 Graph Cuts and Energy-based Methods. Segmentation (2/2).

856 views • 69 slides

DERIVATIVES

3. DERIVATIVES. DERIVATIVES. We have seen that a curve lies very close to its tangent line near the point of tangency. DERIVATIVES. In fact, by zooming in toward a point on the graph of a differentiable function, we noticed that the graph looks more and more like its tangent line.

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DIFFERENTIATION RULES

3. DIFFERENTIATION RULES. DIFFERENTIATION RULES. We have seen that a curve lies very close to its tangent line near the point of tangency. DIFFERENTIATION RULES.

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Sensitivity study of St Andrew Bay rapid response system for Naval applications

Sensitivity study of St Andrew Bay rapid response system for Naval applications. LCDR Patrice Pauly, French Navy Thesis Advisor: Pr. Peter C. Chu, NPS Second Reader: Steven D. Haeger, NAVOCEANO. Outlines. Geographic location Hydrodynamic model used in this study

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Quality of LP-based Approximations for Highly Combinatorial Problems

Quality of LP-based Approximations for Highly Combinatorial Problems. Lucian Leahu and Carla Gomes Computer Science Department Cornell University. Motivation.

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10.1 Radical Expressions and Graphs

10.1 Radical Expressions and Graphs. Objective 1. Find square roots. Slide 10.1-3. Find square roots.

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Approximating the Performance of Call Centers with Queues using Loss Models

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Final Exam Review

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Readings for those who have problems with calculus.

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Automated Discovery of Numerical Approximation Formulae via Genetic Programming

Automated Discovery of Numerical Approximation Formulae via Genetic Programming. Matthew Streeter Lee A. Becker Worcester Polytechnic Institute. Motivations. Approximations have value in formal mathematics and industrial settings

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Use of OpenFOAM in Modelling of wave-structure interactions

Use of OpenFOAM in Modelling of wave-structure interactions. Lifen Chen Supervisors: Dr JunZang , Dr Andrew Hillis , Prof Andrew Plummer Architecture and Civil Engineering department University of Bath lc499@bath.ac.uk. Bath HPC symposium 4 th , June, 2013 Bath, UK. Background.

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Numerical Approximations of Definite Integrals

Numerical Approximations of Definite Integrals. Riemann Sums Numerical Approximation of Definite Integrals Formulae for Approximations Properties of Approximations Example. Riemann Sums.

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Warm Up

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Chapter 2 Power, Taylor and Maclaurin Series

Chapter 2 Power, Taylor and Maclaurin Series Lectures 8 & 9 : Taylor polynomials and approximations. Find polynomial approximations of elementary functions and compare them with the elementary functions. Find Taylor and Maclaurin polynomial approximations of elementary functions.

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Link Sharing or CBQ

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Reflection coefficients

S r. P r. P i. f r. q i. q r. a 1 , b 1 a 2 , b 2. q t. f t. P t. S t. Sin q i Sin q r Sin q t Sin f r Sin f t a 1 a 1 a 2 b 1 b 2. Reflection coefficients. r. -. r. V. V. 2. 2. 1.

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V n-1 V n V n+1

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14405 N. Scottsdale Road

123 views • 1 slides