'Important property' diaporamas de présentation

The Strange Link between Incompressibility and Complexity

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Curiouser and Curiouser : The Link between Incompressibility and Complexity

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Information Complexity Lower Bounds

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Fast Object Search on Road Networks

Fast Object Search on Road Networks. Speaker: Ping-Lin Chang 2009/04/12. Outline. Introduction ROAD Framework Operation Designed Empirical Results Conclusions. Outline. Introduction ROAD Framework Operation Designed Empirical Results Conclusions. Introduction.

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Circuit Complexity meets the Theory of Randomness

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CSC212 Data Structure

CSC212 Data Structure . Lecture 15 B-Trees and the Set Class Instructor: George Wolberg Department of Computer Science City College of New York. Topics. Why B-Tree The problem of an unbalanced tree The B-Tree Rules The Set Class ADT with B-Trees Search for an Item in a B-Tree

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Function Approximation

Function Approximation. The Problem we are trying to approximate a function f(x) by another function g n (x) which consists of a sum over N orthogonal functions F (x) weighted by some coefficients a n . The Problem.

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Solving and visualising the Schroedinger equation for Hydrogen atom

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Unit 6, Chapter 17

Unit 6, Chapter 17. Integrated Science. Unit Six: Properties of Matter. Chapter 17 Properties of Matter. 17.1 Properties of Solids 17.2 Density of Fluids 17.3 Buoyancy of Fluids 17.4 Viscosity of Fluids. Chapter 17 Learning Goals.

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Navigation and Metric Path Planning

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Introduction to Linear and Integer Programming

Introduction to Linear and Integer Programming. Lecture 9: Feb 14. Mathematical Programming . Input: An objective function f: R n -> R A set of constraint functions: g i : R n -> R A set of constraint values: b i. Goal: Find x in R n which: maximizes f(x)

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MBA 664 Database Management

MBA 664 Database Management. Dave Salisbury salisbury@udayton.edu (email) http://www.davesalisbury.com/ (web site). Evolution of the E-R Model. Basic E-R Model nearly 25 years old complex data relationships and new database technology have outgrown it in some respects Enhanced E-R Model

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Chapter 4

Chapter 4. The enhanced ER model and business rules. Evolution of the E-R Model. Basic E-R Model nearly 25 years old complex data relationships and new database technology have outgrown it in some respects Enhanced E-R Model a response to the shortcomings of the basic E-R model

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Economics 2301

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Lecture 13: Examples of the DFT and its inverse; DFT of a real valued signal Sections 2.2.3, 2.3

Lecture 13: Examples of the DFT and its inverse; DFT of a real valued signal Sections 2.2.3, 2.3.

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Matrix Tutorial

Matrix Tutorial. Transition Matrices Graphs Random Walks. Objective . To show how some advanced mathematics has practical application in data mining / information retrieval.

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Fin500J Mathematical Foundations in Finance Topic 2: Matrix Calculus Philip H. Dybvig

Fin500J Mathematical Foundations in Finance Topic 2: Matrix Calculus Philip H. Dybvig Reference: Matrix Calculus, appendix from Introduction to Finite Element Methods book Slides designed by Yajun Wang. Outline. The Derivatives of Vector Functions The Chain Rule for Vector Functions.

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States of matter (Copy diagram of particles in notes)

States of matter (Copy diagram of particles in notes). State is an important property of matter. There are three states of matter and substances change state based on the amount of energy that their particles have. Particles in a solid.

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Basic System Properties

Basic System Properties. Memory Invertibility Causality Stability Time Invariance Linearity. Memory. Memoryless output for each value of independent variable at a given time is dependent on the input at only that same time y[n] = 2*x[n] - x^2*[n] memoryless

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3.3 Gabor Patches

3.3 Gabor Patches. Dino, Natalie, Maggi , Jessica, Sarah. Sine Wave Grating.

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