'Linear functions' diaporamas de présentation

Polynomial and Rational Functions

Polynomial and Rational Functions. Chapter 3. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A. Quadratic Functions and Models. Section 3.1. Quadratic Functions. Quadratic function : Function of the form f ( x ) = ax 2 + bx + c

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DECISION MODELING

DECISION MODELING. WITH MICROSOFT EXCEL. Chapter 3 Linear Optimization. Copyright 2001 Prentice Hall. Linear Optimization. A constrained optimization model takes the form of a performance measure to be optimized over a range of feasible values of the decision variables. .

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The price of anarchy of finite congestion games

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While waiting,

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College Algebra

College Algebra. Acosta/ Karwowski. Non-linear functions. Unit 2 -a. Nonlinear functions. Chapter 3. Analyzing functions. Analyzing a function means to learn all you can about the function using tables, graphs, logic, and intuition

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Welcome

Welcome. Open the envelopes at your table and sort the strips into categories. After sorting, give a title or label to each category. Addressing the Perfect Storm: Professional development for secondary teachers focused on reasoning and sense-making.

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Finding the Equation of a Line

Finding the Equation of a Line. To find the equation of a line you need to know the slope and y-intercept!. Instructions. There are 12 practice problems in this packet.

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2-3

2-3. Graphing Linear Functions. Holt Algebra 2. Warm Up. Lesson Presentation. Lesson Quiz. Holt McDougal Algebra 2. Warm Up Solve each equation for y . 1. 7 x + 2 y = 6 2. 3. If 3 x = 4 y + 12, find y when x = 0.

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2-3

2-3. Graphing Linear Functions. Holt Algebra 2. Warm Up. Lesson Presentation. Lesson Quiz. Holt McDougal Algebra 2. Warm Up Solve each equation for y . 1. 7 x + 2 y = 6 2. 3. If 3 x = 4 y + 12, find y when x = 0.

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Support Vector Machines and The Kernel Trick

Support Vector Machines and The Kernel Trick. William Cohen 3-26-2007. ^. ^. If mistake: v k+1 = v k + y i x i. Compute: y i = v k . x i. y i. y i. The voted perceptron. instance x i. B. A. v 2. (3a) The guess v 2 after the two positive examples: v 2 = v 1 + x 2.

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EFFECTIVENESS OF NBA ACCREDITATION PROCESSES

EFFECTIVENESS OF NBA ACCREDITATION PROCESSES. K.G.Viswanadhan & N.J.Rao Department of Management Studies, Indian Institute of Science, Bangalore. Organization of presentation. Introduction Quality Frameworks Accreditation process of National Board of Accreditation (NBA)

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Analysis of Algorithms

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Comprehensive Curriculum

Comprehensive Curriculum. Algebra 1 Presented by Kim Melancon Geometry Presented by Mandy Boudwin. Development of CC. GLEs Model Curriculum Framework Comprehensive Curriculum. Revision of MCF. Writers were asked to keep units in tact Add more student-centered activities

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PhD-Work

PhD-Work DI Robert Hummitzsch Trondheim, Oktober 21 st 2005 Long Term Track Quality Prediction of Long Term Deterioration for Economic Optimisation of Railway Infrastructure DI Robert Hummitzsch robert.hummitzsch@tugraz.at Trondheim, Oktober 21 st 2005 Content of Presentation

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Linear Programming

Linear Programming. Introduction. What is Linear Programming?. A Linear Programming model seeks to maximize or minimize a linear function , subject to a set of linear constraints . What are linear functions?. Linear function in 2 variables. No X 1 2 , X 1 /X 2 , e -X2 , ?X 1 , etc.

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Linear Programming The Simplex Method

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Linear Programming

Linear Programming. Introduction. What is Linear Programming?. A Linear Programming model seeks to maximize or minimize a linear function , subject to a set of linear constraints . What are linear functions?. Linear function in 2 variables. No X 1 2 , X 1 /X 2 , e -X2 , ?X 1 , etc.

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12.540 Principles of the Global Positioning System Lecture 12

12.540 Principles of the Global Positioning System Lecture 12. Prof. Thomas Herring Room 54-618; 253-5941 tah@mit.edu http://geoweb.mit.edu/~tah/12.540. Estimation. Summary Examine correlations Process noise White noise Random walk First-order Gauss Markov Processes

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Pre-Test- Slope

Pre-Test- Slope. AF 3.3 Graph linear functions, noting that the vertical change (change in y-value) per unit of horizontal change (change in x-value) is always the same and know that the ration (rise over run) is called the slope of the graph.

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Linear Vs. Non-Linear Functions

Linear Vs. Non-Linear Functions. We are learning to model functions as tables, graphs and equations (rules). Wednesday, April 2, 2014. 3. 2. 4. 4. 0. 1. 3. 2. 0. 1. 1 2 -10 . 0 2 -10 . 4(0)-3 . 2 2 -10 . 4 2 -10. 4(1)-3 . 4(2)-3 . 4(3)-3 . 3 2 -10 . 4(4)-3 . 0-3 . 4-3 .

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