'Negative number' diaporamas de présentation

Positional Number System

Positional Number System. A number is represented by a string of digits where each digit position has an associated weight. The weight is based on the radix of the number system. Some common radices: Decimal. Binary. Hexadecimal. Notation. Decimal. W = 123 10 = 123d = 123 Binary.

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Transformations of Functions

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Transformations of Functions

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Number Systems & Operations

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Calculating Slope

Calculating Slope. Objective Students will find the slope of a line. Standard EA-5.6 Carry out a procedure to determine the slope of a line from data given tabularly, graphically, symbolically, and verbally. Relevance Slope can be used to determine the steepness of a roof or ramp. Agenda

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Freshman Computer Engineering/Science

Freshman Computer Engineering/Science. Computer Arithmetic. 3 + 6 = 9 ? 9/10 = 0 + 9/10 ? write 9 and carry 0. 8 + 4 = 12 ? 12/10 = 1 + 2/10 ? write 2 and carry 1. 1+ 7 + 1 = 9 ? 9/10 = 0 + 9/10 ? write 9 and carry 0. Addition in any numbering system.

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Complex Numbers

Complex Numbers. Understand complex numbers Simplify complex number expressions. Imaginary Numbers. What is the square root of 9?. What is the square root of -9?. Imaginary Numbers. There is no real number that when multiplied by itself gives a negative number.

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Solving One-Step Inequalities

Solving One-Step Inequalities. 2. 3. 4. 5. 6. 7. 8. Solving One-Step Inequalities. Objective: To solve one-step inequalities using properties for inequalities. Solving One-Step Inequalities. What are the Properties for Inequalities?

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Lecture 2: Number Systems

Lecture 2: Number Systems. Binary numbers Base conversion Arithmetic Number systems Sign and magnitude Ones-complement Twos-complement Binary-coded decimal (BCD). Positional number notation. Bases we will use Binary: base 2 Octal: base 8 Decimal: base 10 Hexadecimal: base 16

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ECE 498AL Programming Massively Parallel Processors Lecture 11: Floating-Point Considerations

ECE 498AL Programming Massively Parallel Processors Lecture 11: Floating-Point Considerations. Objective. To understand the fundamentals of floating-point representation To know the IEEE-754 Floating Point Standard GeForce 8800 CUDA Floating-point speed, accuracy and precision

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Before we do anything else, put your computers away

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Lesson 6.3- Solving Multi-Step Inequalities, pg. 332

Lesson 6.3- Solving Multi-Step Inequalities, pg. 332. Goals: To solve linear inequalities involving more than one operation. To solve linear inequalities involving the Distributive Property. Steps for Solving Linear Inequalities. Remove fractions - Multiply by the LCD. Simplify

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Department of Computer and Information Science, School of Science, IUPUI

Department of Computer and Information Science, School of Science, IUPUI. CSCI 230. Information Representation: Negative Integer Representation . Dale Roberts, Lecturer IUPUI droberts@cs.iupui.edu. Negative Numbers in Binary.

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Department of Computer and Information Science, School of Science, IUPUI

Department of Computer and Information Science, School of Science, IUPUI. CSCI 230. Information Representation: Negative Integer Representation . Dale Roberts, Lecturer IUPUI droberts@cs.iupui.edu. Negative Numbers in Binary.

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1-1 Patterns and Inductive Reasoning

1-1 Patterns and Inductive Reasoning. Inductive reasoning-. Reasoning that is based on patterns you observe. EX. Find the pattern for the sequence. Use the pattern to show the next two terms in the sequence. 4,8,16,32. Pattern:. Each term is two times the preceding term.

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Solving Inequalities

Solving Inequalities. To solve an inequality, use the same procedure as solving an equation with one exception. When multiplying or dividing by a negative number , reverse the direction of the inequality sign. -3 x < 6 divide both sides by -3 -3 x /-3 > 6/-3 x > -2. -2.

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First, isolate the absolute value bar expression.

Example 1: Solve . Linear Absolute Value Inequality: Solving Algebraically. First, isolate the absolute value bar expression.

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Maximum Likelihood Detection

Maximum Likelihood Detection. Dr. Muqaibel. Example. A binary repetition code is used where 0 is encoded as 000 and 1 is encoded as 111. What is your decoding decision if what you receive over a BSC with cross over probability=0.3 is 101. Using Minimum Distance Decoding.

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CK-12 Flexbooks on Properties of exponent

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