'Real numbers' diaporamas de présentation

Chapter 2 Equations and Inequalities

Chapter 2 Equations and Inequalities. No HW Quiz #1.9-10 Pass Your HW to the front!. 2.1 More on Solving Equations. Objective : Solve equations containing fractions or decimals.

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Evaluating Limits Analytically

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Functions

Functions. Section 2.3 of Rosen Fall 2008 CSCE 235 Introduction to Discrete Structures Course web-page: cse.unl.edu/~cse235 Questions: cse235@cse.unl.edu. Outline. Definitions & terminology

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Numbers

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The Forward-Backward Method

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Warm Up

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1.4 Angles and Their Measures

1.4 Angles and Their Measures. Geometry Mrs. Spitz Fall 2005. Standard/Objectives:. Standard : Students will understand geometric concepts and applications Benchmark : Use visualization, spatial reasoning, and geometric modeling to solve problems. Standard/Objectives:.

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Simplifying

Simplifying. Radical Expressions. When simplifying a radical expression, find the factors that are to the n th powers of the radicand and then use the Product Property of Radicals. What is the Product Property of Radicals???. For any real numbers a and b, and any integer n , n> 1,

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Algebra II

Algebra II. 4.1: Graphing Polynomial Functions Objective: To identify polynomials, and to use several techniques to get rough sketches. Vocabulary. What is a monomial? An expression that is either a number, a variable, or the product of a number and one or more variables. Vocabulary.

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Math 009 Unit 4 Lesson 4

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2-3 Solving Multi-Step Equations

2-3 Solving Multi-Step Equations. To solve multi-step equations you use the properties of equality, inverse operations, and properties of real numbers. You will use these properties until the variable is isolated. Problem 1: Combining Like Terms.

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Nested Quantifiers

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OPEN RESPONSE QUESTION FROM MCAS SPRING 2004, GRADE 10, #17

INTRODUCTION. OPEN RESPONSE QUESTION FROM MCAS SPRING 2004, GRADE 10, #17.

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exponential functions

exponential functions. 8. 7. 6. 5. 4. 3. 2. 1. -7. -2. -1. 1. 3. 5. 7. -6. -5. -4. -3. -2. -3. -4. -5. 0. 4. 6. 8. -6. -7. 2.

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Lecture 9 MLP (I): Feed-forward Model

Lecture 9 MLP (I): Feed-forward Model. Outline. Multi-Layer Perceptron Structure Feed Forward Model XOR Example MLP Applications. Multi-Layer Perceptron Structure . A Three Layer Feed-forward Multi-Layer Perceptron. Two Layer Perceptron XOR Gate . Decision Boundaries of XOR.

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7.7 Trig Functions of Real Numbers

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On Interpreting I

On Interpreting I. Interpreting Histograms, Density Functions, distributions of a single attribute What is the type of the attribute? What is the mean value; what is the mode? Is the a lot of spread or not (compute the standard deviation)

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Real Number System

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