'1 eps' presentation slideshows

M ATLAB Tutorial Course

M ATLAB Tutorial Course. 1. Contents Continued. Desktop tools matrices Logical &Mathematical operations Handle Graphics Ordinary Differential Equations (ODE). 4. MATLAB Desktop Tools. Command Window Command History Help Browser Workspace Browser Editor/Debugger. 8.

522 views • 35 slides

Chemical Reaction Engineering

Chemical Reaction Engineering. Chapter 4, Part 2: 1. Applying the Algorithm to a Batch Reactor, CSTR, and PFR 2. Calculating the Equilibrium Conversion. Using the Algorithm for Isothermal Reactor Design.

650 views • 29 slides

Chemical Reaction Engineering Asynchronous Video Series

Chemical Reaction Engineering Asynchronous Video Series. Chapter 4, Part 2: 1. Applying the Algorithm to a Batch Reactor, CSTR, and PFR 2. Calculating the Equilibrium Conversion H. Scott Fogler, Ph.D. Using the Algorithm for Isothermal Reactor Design.

395 views • 29 slides

Topic 5: Corporate Governance

329 views • 21 slides

B-trees and kd-trees

B-trees and kd-trees. Piotr Indyk (slides partially by Lars Arge from Duke U). Before we start. If you are considering taking this class (or attending just a few lectures), send me an e-mail : indyk@theory.lcs.mit.edu Web page up and running: http://theory.lcs.mit.edu/~indyk/MASS

204 views • 19 slides

Geometric Problems in High Dimensions: Sketching

Geometric Problems in High Dimensions: Sketching. Piotr Indyk. High Dimensions. We have seen several algorithms for low-dimensional problems (d=2, to be specific): data structure for orthogonal range queries (kd-tree) data structure for approximate nearest neighbor (kd-tree)

257 views • 16 slides

Geometric Problems in High Dimensions: Sketching

Geometric Problems in High Dimensions: Sketching. Piotr Indyk. High Dimensions. We have seen several algorithms for low-dimensional problems (d=2, to be specific): data structure for orthogonal range queries (kd-tree) data structure for approximate nearest neighbor (kd-tree)

186 views • 16 slides

Geometric Problems in High Dimensions: Sketching

Geometric Problems in High Dimensions: Sketching. Piotr Indyk. Dimensionality Reduction in Hamming Metric. Theorem: For any r and eps>0 (small enough), there is a distribution of mappings G: {0,1} d ? {0,1} t , such that for any two points p, q the probability that:

407 views • 15 slides

Geometric Problems in High Dimensions: Sketching

Geometric Problems in High Dimensions: Sketching. Piotr Indyk. Dimensionality Reduction in Hamming Metric. Theorem: For any r and eps>0 (small enough), there is a distribution of mappings G: {0,1} d ? {0,1} t , such that for any two points p, q the probability that:

238 views • 15 slides