MCI 1334I MARINE CORPS INSTITUTE MATH FOR MARINES MARINE BARRACKS WASHINGTON‚ DC UNITED STATES MARINE CORPS MARINE CORPS INSTITUTE 912 CHARLES POOR STREET SE WASHINGTON NAVY YARD DC 20391-5680 IN REPLY REFER TO: 1550 5 Jan 2012 From: Director To: Marine Corps Institute Student Subj: MATH FOR MARINES (MCI 1334I) 1. Purpose. The subject course provides instruction on basic mathematics. 2. Scope. This course instructs and reviews a Marine’s knowledge of basic mathematics. It
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Introduction & MIPS http://handoutsuite.googlepages.com 0. Things you’ll be learning – – a basic foundation about how computers work how to analyze their performance 1. What is Computer Organization? • Coordination of many levels of abstraction • Under a rapidly changing set of forces • Design‚ Measurement‚ and Evaluation Why learn this stuff? – – – to learn the inner parts and working of a computer you want to build better software you need to make a purchasing decision or offer “expert”
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mixed or whole number 2.3.2 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.3.3 Converting a mixed or whole number to an improper fraction . 2.3.4 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.4 Multiplication of Fractions . . . . . . . . . . . . . . . . . . . . . . . 2.4.1 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.5 Equivalent Fractions . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.5.1 Cancellation and Lowest
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spread spectrum. (DS-SS). The basic technique is shown in the figure basic spread spectrum where two bits of a data signal m(t) are spread by the so called spreading code s(t) here multiplication of the two signals is shown see figure Basic DS-SS using multiplication. [pic] Figure. Basic DS-SS using multiplication. Another way to implement DSSS is to XOR the data stream with the spreading‚ often the spreading code is a Pseudo noise
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× 3 or 0.8 ÷ 2 or 0.32 × 5 or limited to multiplying or dividing by a decimal to one significant figure‚ for example 0.84 × 0.2 or 6.5 ÷ 0.5 interpret a remainder from a division problem recall all positive number complements to 100 recall all multiplication facts to 10 × 10 and use them to derive the corresponding division facts add‚ subtract‚ multiply and divide using commutative‚ associative and distributive laws understand and use inverse operations use brackets and the hierarchy of operations
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Table of Contents Definitions of Even & Odd Functions 2 Algebraic Definition 2 Graphic Definition 4 Combining Even & Odd Functions 6 Multiplication 6 Addition 7 Integrals of Even & Odd Functions 7 Fourier Series: Even & Odd Functions 9 Arbitrary Period (2L) 9 Case of Period 2π 10 References 14 Algebraic Definitions 1) Even Function: 2) Odd Function: Algebraically You may be asked to "determine algebraically" whether a function is even or odd. To do
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following 2 years‚ how much did he save per month in the last 2 years? Evaluation 3-5B 7. Calculate each of the following mentally. Briefly explain your method for each case. Mathematical Connections 3-3 Exercise 2 2. Can 0 be the identity for multiplication? Discuss why or why not. Mathematical Connections 3-5 Exercises. 5. Give different examples from real-life situations where an estimate‚ instead of an accurate answer is enough. 10. A student questions why he has to know about any estimation
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promptly and safely:preventing pest hazards preventing the multiplication of food poisoning bacteria (pathogens)reducing risk of food decay eg smell‚ becoming unfit to eat The importance of storing different types of food and drink safely:use by dates‚ best before dates types of food eg dry foods‚ chilled foods‚ raw foods frozen foods reducing risk of contamination of high risk foods eg direct or by drip/ping; reducing the multiplication of bacteria 1.3. P.p.e should be use to stop cross contamination
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International Journal of Theoretical and Applied Computer Sciences Volume 1 Number 1 (2006) pp. 9–34 (c) GBS Publishers and Distributors (India) http://www.gbspublisher.com/ijtacs.htm Implementation and Evaluation of Image Processing Algorithms on Reconfigurable Architecture using C-based Hardware Descriptive Languages Daggu Venkateshwar Rao*‚ Shruti Patil‚ Naveen Anne Babu and V Muthukumar Department of Electrical and Computer Engineering University of Nevada Las Vegas. Las Vegas‚ NV 89154 *E-mail:
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Simple assignments Simple expressions Complex expressions Commutative operators Logical expressions Multiprecision operations Multiprecision addition operations Multiprecision subtraction operations Extended precision comparisons Extended precision multiplication Extended precision division Extended precision negation Extended precision AND‚ OR‚ XOR‚ and NOT Extended precision shift and rotate operations Operating on different sized operands Multiplying without MUL and IMUL Division without DIV and IDIV
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