'Local minimum' presentation slideshows

APPLICATIONS OF DIFFERENTIATION

4. APPLICATIONS OF DIFFERENTIATION. APPLICATIONS OF DIFFERENTIATION. Many applications of calculus depend on our ability to deduce facts about a function f from information concerning its derivatives. . APPLICATIONS OF DIFFERENTIATION. 4.3 How Derivatives Affect the Shape of a Graph.

1.88k views • 93 slides

Fast and Compact Retrieval Methods in Computer Vision Part II

Fast and Compact Retrieval Methods in Computer Vision Part II . A. Torralba, R. Fergus and Y. Weiss. Small Codes and Large Image Databases for Recognition . CVPR 2008

652 views • 54 slides

Lecture 10: Stereo and Graph Cuts

1.11k views • 53 slides

Beyond Classical Search (Local Search) R&N III: Chapter 4

Beyond Classical Search (Local Search) R&N III: Chapter 4. Local Search. Light-memory search method No search tree; only the current state is represented! Only applicable to problems where the path is irrelevant (e.g., 8-queen), unless the path is encoded in the state

587 views • 34 slides

Flux Shape in Various Reactor Geometries in One Energy Group

Flux Shape in Various Reactor Geometries in One Energy Group. B. Rouben McMaster University EP 4D03/6D03 Nuclear Reactor Analysis 2008 Sept-Dec. Contents.

422 views • 32 slides

Engineering Optimization

974 views • 31 slides

ARISTOTLE UNIVERSITY OF THESSALONIKI. DEPARTMENT OF INFORMATICS

ARISTOTLE UNIVERSITY OF THESSALONIKI. DEPARTMENT OF INFORMATICS 2D/3D Image Registration and Alignment: A Review Stelios Krinidis Presentation outline Definitions General aspects ICP algorithm Shape-based algorithm References Definitions Registration: a fundamental task in image

748 views • 26 slides

Lattice gas models and Kinetic Monte Carlo simulations of epitaxial crystal growth

538 views • 26 slides

Non-Negative Matrix Factorization

Non-Negative Matrix Factorization. Marshall Tappen 6.899. Problem Statement. Given a set of images: Create a set of basis images that can be linearly combined to create new images Find the set of weights to reproduce every input image from the basis images

651 views • 26 slides

Linear Least Squares Approximation

Linear Least Squares Approximation. By Kristen Bauer, Renee Metzger, Holly Soper, Amanda Unklesbay. Linear Least Squares. Is the line of best fit for a group of points It seeks to minimize the sum of all data points of the square differences between the function value and data value.

506 views • 26 slides

Lower resolution X-ray spectroscopy

Lower resolution X-ray spectroscopy. Keith Arnaud NASA/GSFC & UMCP. Practical X-ray spectroscopy. Most X-ray spectra are of moderate or low resolution (eg Chandra ACIS or XMM-Newton EPIC). However, the spectra generally cover a bandpass of more than 1.5 decades in energy.

409 views • 26 slides

Presented by: Yevgeniy Gershteyn Larisa Perman 04/24/2003

Debate 2 : Boltzmann Machine and Simulated Annealing. Presented by: Yevgeniy Gershteyn Larisa Perman 04/24/2003. Boltzmann Machine. Boltzmann Machine neural net was introduced by Hinton and Sejnowski in 1983. Used for solving constrained optimization problems. Typical Boltzmann Machine:

478 views • 21 slides

Local Extrema & Mean Value Theorem

185 views • 18 slides

Computing geodesics and minimal surfaces via graph cuts Yuri Boykov, Siemens Research, Princeton, NJ joint work with

Computing geodesics and minimal surfaces via graph cuts Yuri Boykov, Siemens Research, Princeton, NJ joint work with Vladimir Kolmogorov, Cornell University, Ithaca, NY. Minimal geometric artifacts Solved via local variational technique (level sets). Possible metrication errors

278 views • 18 slides

PROGRAMME 9

PROGRAMME 9. DIFFERENTIATION APPLICATIONS 2. Programme 9: Differentiation applications 2. Differentiation of inverse trigonometric functions Derivatives of inverse hyperbolic functions Maximum and minimum values Points of inflexion. Programme 9: Differentiation applications 2.

299 views • 17 slides

Nonlinear Functions and their Graphs

378 views • 14 slides

RBF TWO-STAGE LEARNING NETWORKS: EXPLOITATION OF SUPERVISED DATA IN THE SELECTION OF HIDDEN UNIT PARAMETERS

RBF TWO-STAGE LEARNING NETWORKS: EXPLOITATION OF SUPERVISED DATA IN THE SELECTION OF HIDDEN UNIT PARAMETERS. An application to SAR data classification. Objectives.

261 views • 14 slides

5S Model of design

Dotndot.com is full-service strategic design firm specializing in creative designing. We focus on creativity executing the specific communication objectives of our clients. Our extensive experience helping companies of various size and markets with branding and communication issues enables dotndot.com to help implement single projects or entire campaigns with equal ability. http://www.dotndot.com

1.59k views • 7 slides

6.7/6.8 Analyzing Graphs of Polynomials

6.7/6.8 Analyzing Graphs of Polynomials. How do you find the local maximum and minimum on a polynomial graph? What is the maximum number of turning points based on the degree of polynomial?

405 views • 7 slides

Section 4.3

Section 4.3. How Derivatives Affect the Shape of a Graph. INCREASING/DECREASING TEST. Theorem : (a) If f ?( x ) > 0 on an interval, then f is increasing on that interval. (b) If f ?( x ) < 0 on an interval, then f is decreasing on that interval. THE FIRST DERIVATIVE TEST.

203 views • 7 slides