Algebraic Expressions
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The American Postdramatic Television Series: the Art of Poetry and the Composition of Chaos (How to Understand the Script of the Best American Television Series)”
RLCS, Revista Latina de Comunicación Social, 72 – Pages 500 to 520 Funded Research | DOI: 10.4185/RLCS, 72-2017-1176| ISSN 1138-5820 | Year 2017 How to cite this article in bibliographies / References MA Orosa, M López-Golán , C Márquez-Domínguez, YT Ramos-Gil (2017): “The American postdramatic television series: the art of poetry and the composition of chaos (How to understand the script of the best American television series)”. Revista Latina de Comunicación Social, 72, pp. 500 to 520. http://www.revistalatinacs.org/072paper/1176/26en.html DOI: 10.4185/RLCS-2017-1176 The American postdramatic television series: the art of poetry and the composition of chaos How to understand the script of the best American television series Miguel Ángel Orosa [CV] [ ORCID] [ GS] Professor at the School of Social Communication. Pontificia Universidad Católica del Ecuador (Sede Ibarra, Ecuador) – [email protected] Mónica López Golán [CV] [ ORCID] [ GS] Professor at the School of Social Communication. Pontificia Universidad Católica del Ecuador (Sede Ibarra, Ecuador) – moLó[email protected] Carmelo Márquez-Domínguez [CV] [ ORCID] [ GS] Professor at the School of Social Communication. Pontificia Universidad Católica del Ecuador Sede Ibarra, Ecuador) – camarquez @pucesi.edu.ec Yalitza Therly Ramos Gil [CV] [ ORCID] [ GS] Professor at the School of Social Communication. Pontificia Universidad Católica del Ecuador (Sede Ibarra, Ecuador) – [email protected] Abstract Introduction: The magnitude of the (post)dramatic changes that have been taking place in American audiovisual fiction only happen every several hundred years. The goal of this research work is to highlight the features of the change occurring within the organisational (post)dramatic realm of American serial television. -
Operations with Algebraic Expressions: Addition and Subtraction of Monomials
Operations with Algebraic Expressions: Addition and Subtraction of Monomials A monomial is an algebraic expression that consists of one term. Two or more monomials can be added or subtracted only if they are LIKE TERMS. Like terms are terms that have exactly the SAME variables and exponents on those variables. The coefficients on like terms may be different. Example: 7x2y5 and -2x2y5 These are like terms since both terms have the same variables and the same exponents on those variables. 7x2y5 and -2x3y5 These are NOT like terms since the exponents on x are different. Note: the order that the variables are written in does NOT matter. The different variables and the coefficient in a term are multiplied together and the order of multiplication does NOT matter (For example, 2 x 3 gives the same product as 3 x 2). Example: 8a3bc5 is the same term as 8c5a3b. To prove this, evaluate both terms when a = 2, b = 3 and c = 1. 8a3bc5 = 8(2)3(3)(1)5 = 8(8)(3)(1) = 192 8c5a3b = 8(1)5(2)3(3) = 8(1)(8)(3) = 192 As shown, both terms are equal to 192. To add two or more monomials that are like terms, add the coefficients; keep the variables and exponents on the variables the same. To subtract two or more monomials that are like terms, subtract the coefficients; keep the variables and exponents on the variables the same. Addition and Subtraction of Monomials Example 1: Add 9xy2 and −8xy2 9xy2 + (−8xy2) = [9 + (−8)] xy2 Add the coefficients. Keep the variables and exponents = 1xy2 on the variables the same. -
Expected Inflation and the Constant-Growth Valuation Model* by Michael Bradley, Duke University, and Gregg A
VOLUME 20 | NUMBER 2 | SPRING 2008 Journal of APPLIED CORPORATE FINANCE A MORGAN STANLEY PUBLICATION In This Issue: Valuation and Corporate Portfolio Management Corporate Portfolio Management Roundtable 8 Panelists: Robert Bruner, University of Virginia; Robert Pozen, Presented by Ernst & Young MFS Investment Management; Anne Madden, Honeywell International; Aileen Stockburger, Johnson & Johnson; Forbes Alexander, Jabil Circuit; Steve Munger and Don Chew, Morgan Stanley. Moderated by Jeff Greene, Ernst & Young Liquidity, the Value of the Firm, and Corporate Finance 32 Yakov Amihud, New York University, and Haim Mendelson, Stanford University Real Asset Valuation: A Back-to-Basics Approach 46 David Laughton, University of Alberta; Raul Guerrero, Asymmetric Strategy LLC; and Donald Lessard, MIT Sloan School of Management Expected Inflation and the Constant-Growth Valuation Model 66 Michael Bradley, Duke University, and Gregg Jarrell, University of Rochester Single vs. Multiple Discount Rates: How to Limit “Influence Costs” 79 John Martin, Baylor University, and Sheridan Titman, in the Capital Allocation Process University of Texas at Austin The Era of Cross-Border M&A: How Current Market Dynamics are 84 Marc Zenner, Matt Matthews, Jeff Marks, and Changing the M&A Landscape Nishant Mago, J.P. Morgan Chase & Co. Transfer Pricing for Corporate Treasury in the Multinational Enterprise 97 Stephen L. Curtis, Ernst & Young The Equity Market Risk Premium and Valuation of Overseas Investments 113 Luc Soenen,Universidad Catolica del Peru, and Robert Johnson, University of San Diego Stock Option Expensing: The Role of Corporate Governance 122 Sanjay Deshmukh, Keith M. Howe, and Carl Luft, DePaul University Real Options Valuation: A Case Study of an E-commerce Company 129 Rocío Sáenz-Diez, Universidad Pontificia Comillas de Madrid, Ricardo Gimeno, Banco de España, and Carlos de Abajo, Morgan Stanley Expected Inflation and the Constant-Growth Valuation Model* by Michael Bradley, Duke University, and Gregg A. -
Algebraic Expressions 25
Section P.3 Algebraic Expressions 25 P.3 Algebraic Expressions What you should learn: Algebraic Expressions •How to identify the terms and coefficients of algebraic A basic characteristic of algebra is the use of letters (or combinations of letters) expressions to represent numbers. The letters used to represent the numbers are variables, and •How to identify the properties of combinations of letters and numbers are algebraic expressions. Here are a few algebra examples. •How to apply the properties of exponents to simplify algebraic x 3x, x ϩ 2, , 2x Ϫ 3y expressions x2 ϩ 1 •How to simplify algebraic expressions by combining like terms and removing symbols Definition of Algebraic Expression of grouping A collection of letters (called variables) and real numbers (called constants) •How to evaluate algebraic expressions combined using the operations of addition, subtraction, multiplication, divi- sion and exponentiation is called an algebraic expression. Why you should learn it: Algebraic expressions can help The terms of an algebraic expression are those parts that are separated by you construct tables of values. addition. For example, the algebraic expression x2 Ϫ 3x ϩ 6 has three terms: x2, For instance, in Example 14 on Ϫ Ϫ page 33, you can determine the 3x, and 6. Note that 3x is a term, rather than 3x, because hourly wages of miners using an x2 Ϫ 3x ϩ 6 ϭ x2 ϩ ͑Ϫ3x͒ ϩ 6. Think of subtraction as a form of addition. expression and a table of values. The terms x2 and Ϫ3x are called the variable terms of the expression, and 6 is called the constant term of the expression. -
Algebraic Expression Meaning and Examples
Algebraic Expression Meaning And Examples Unstrung Derrin reinfuses priggishly while Aamir always euhemerising his jugginses rousts unorthodoxly, he derogate so heretofore. Exterminatory and Thessalonian Carmine squilgeed her feudalist inhalants shrouds and quizzings contemptuously. Schizogenous Ransom polarizing hottest and geocentrically, she sad her abysm fightings incommutably. Do we must be restricted or subtracted is set towards the examples and algebraic expression consisting two terms in using the introduction and value Why would you spend time in class working on substitution? The most obvious feature of algebra is the use of special notation. An algebraic expression may consist of one or more terms added or subtracted. It is not written in the order it is read. Now we look at the inner set of brackets and follow the order of operations within this set of brackets. Every algebraic equations which the cube is from an algebraic expression of terms can be closed curve whose vertices are written. Capable an expression two terms at splashlearn is the first term in the other a variable, they contain variables. There is a wide variety of word phrases that translate into sums. Evaluate each of the following. The factor of a number is a number that divides that number exactly. Why do I have to complete a CAPTCHA? Composed of the pedal triangle a polynomial an consisting two terms or set of one or a visit, and distributivity of an expression exists but it! The first thing to note is that in algebra we use letters as well as numbers. Proceeding with the requested move may negatively impact site navigation and SEO. -
Data Types & Arithmetic Expressions
Data Types & Arithmetic Expressions 1. Objective .............................................................. 2 2. Data Types ........................................................... 2 3. Integers ................................................................ 3 4. Real numbers ....................................................... 3 5. Characters and strings .......................................... 5 6. Basic Data Types Sizes: In Class ......................... 7 7. Constant Variables ............................................... 9 8. Questions/Practice ............................................. 11 9. Input Statement .................................................. 12 10. Arithmetic Expressions .................................... 16 11. Questions/Practice ........................................... 21 12. Shorthand operators ......................................... 22 13. Questions/Practice ........................................... 26 14. Type conversions ............................................. 28 Abdelghani Bellaachia, CSCI 1121 Page: 1 1. Objective To be able to list, describe, and use the C basic data types. To be able to create and use variables and constants. To be able to use simple input and output statements. Learn about type conversion. 2. Data Types A type defines by the following: o A set of values o A set of operations C offers three basic data types: o Integers defined with the keyword int o Characters defined with the keyword char o Real or floating point numbers defined with the keywords -
LOST the Official Show Auction
LOST | The Auction 156 1-310-859-7701 Profiles in History | August 21 & 22, 2010 572. JACK’S COSTUME FROM THE EPISODE, “THERE’S NO 574. JACK’S COSTUME FROM PLACE LIKE HOME, PARTS 2 THE EPISODE, “EGGTOWN.” & 3.” Jack’s distressed beige Jack’s black leather jack- linen shirt and brown pants et, gray check-pattern worn in the episode, “There’s long-sleeve shirt and blue No Place Like Home, Parts 2 jeans worn in the episode, & 3.” Seen on the raft when “Eggtown.” $200 – $300 the Oceanic Six are rescued. $200 – $300 573. JACK’S SUIT FROM THE EPISODE, “THERE’S NO PLACE 575. JACK’S SEASON FOUR LIKE HOME, PART 1.” Jack’s COSTUME. Jack’s gray pants, black suit (jacket and pants), striped blue button down shirt white dress shirt and black and gray sport jacket worn in tie from the episode, “There’s Season Four. $200 – $300 No Place Like Home, Part 1.” $200 – $300 157 www.liveauctioneers.com LOST | The Auction 578. KATE’S COSTUME FROM THE EPISODE, “THERE’S NO PLACE LIKE HOME, PART 1.” Kate’s jeans and green but- ton down shirt worn at the press conference in the episode, “There’s No Place Like Home, Part 1.” $200 – $300 576. JACK’S SEASON FOUR DOCTOR’S COSTUME. Jack’s white lab coat embroidered “J. Shephard M.D.,” Yves St. Laurent suit (jacket and pants), white striped shirt, gray tie, black shoes and belt. Includes medical stetho- scope and pair of knee reflex hammers used by Jack Shephard throughout the series. -
Calculus Terminology
AP Calculus BC Calculus Terminology Absolute Convergence Asymptote Continued Sum Absolute Maximum Average Rate of Change Continuous Function Absolute Minimum Average Value of a Function Continuously Differentiable Function Absolutely Convergent Axis of Rotation Converge Acceleration Boundary Value Problem Converge Absolutely Alternating Series Bounded Function Converge Conditionally Alternating Series Remainder Bounded Sequence Convergence Tests Alternating Series Test Bounds of Integration Convergent Sequence Analytic Methods Calculus Convergent Series Annulus Cartesian Form Critical Number Antiderivative of a Function Cavalieri’s Principle Critical Point Approximation by Differentials Center of Mass Formula Critical Value Arc Length of a Curve Centroid Curly d Area below a Curve Chain Rule Curve Area between Curves Comparison Test Curve Sketching Area of an Ellipse Concave Cusp Area of a Parabolic Segment Concave Down Cylindrical Shell Method Area under a Curve Concave Up Decreasing Function Area Using Parametric Equations Conditional Convergence Definite Integral Area Using Polar Coordinates Constant Term Definite Integral Rules Degenerate Divergent Series Function Operations Del Operator e Fundamental Theorem of Calculus Deleted Neighborhood Ellipsoid GLB Derivative End Behavior Global Maximum Derivative of a Power Series Essential Discontinuity Global Minimum Derivative Rules Explicit Differentiation Golden Spiral Difference Quotient Explicit Function Graphic Methods Differentiable Exponential Decay Greatest Lower Bound Differential -
Parsing Arithmetic Expressions Outline
Parsing Arithmetic Expressions https://courses.missouristate.edu/anthonyclark/333/ Outline Topics and Learning Objectives • Learn about parsing arithmetic expressions • Learn how to handle associativity with a grammar • Learn how to handle precedence with a grammar Assessments • ANTLR grammar for math Parsing Expressions There are a variety of special purpose algorithms to make this task more efficient: • The shunting yard algorithm https://eli.thegreenplace.net/2010/01/02 • Precedence climbing /top-down-operator-precedence-parsing • Pratt parsing For this class we are just going to use recursive descent • Simpler • Same as the rest of our parser Grammar for Expressions Needs to account for operator associativity • Also known as fixity • Determines how you apply operators of the same precedence • Operators can be left-associative or right-associative Needs to account for operator precedence • Precedence is a concept that you know from mathematics • Think PEMDAS • Apply higher precedence operators first Associativity By convention 7 + 3 + 1 is equivalent to (7 + 3) + 1, 7 - 3 - 1 is equivalent to (7 - 3) – 1, and 12 / 3 * 4 is equivalent to (12 / 3) * 4 • If we treated 7 - 3 - 1 as 7 - (3 - 1) the result would be 5 instead of the 3. • Another way to state this convention is associativity Associativity Addition, subtraction, multiplication, and division are left-associative - What does this mean? You have: 1 - 2 - 3 - 3 • operators (+, -, *, /, etc.) and • operands (numbers, ids, etc.) 1 2 • Left-associativity: if an operand has operators -
The Police Have Confirmed All 39 Victims Were Chinese The
Media@LSE MSc Dissertation Series Editors: Bart Cammaerts and Nick Anstead THE POLICE HAVE CONFIRMED ALL 39 VICTIMS WERE CHINESE The Mis/Recognition Of Vietnamese Migrants In Their Mediated Encounters Within UK Newspapers Linda Hien ‘The Police Have Confirmed All 39 Victims Were Chinese’ The Mis/Recognition Of Vietnamese Migrants In Their Mediated Encounters Within UK Newspapers LINDA HIEN1 1 [email protected] Published by Media@LSE, London School of Economics and Political Science ("LSE"), Houghton Street, London WC2A 2AE. The LSE is a School of the University of London. It is a Charity and is incorporated in England as a company limited by guarantee under the Companies Act (Reg number 70527). Copyright, LINDA HIEN © 2021. The author has asserted their moral rights. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means without the prior permission in writing of the publisher nor be issued to the public or circulated in any form of binding or cover other than that in which it is published. In the interests of providing a free flow of debate, views expressed in this paper are not necessarily those of the compilers or the LSE. 1. Abstract This dissertation approaches news coverage of the 39 victims found dead in a lorry in Essex, in October 2019. After a complicated identification process mired with mistakes and mediated by newspapers, including the Essex police’s incorrect identification of the victims as Chinese, all 39 victims were finally identified as Vietnamese. This occurred against the backdrop of Vietnamese communities having been historically excluded from the UK’s public consciousness. -
December 4, 2017 COURSE
MASTER COURSE OUTLINE Prepared By: Salah Abed, Tyler Wallace, Barbara Whitney, Brinn Harberts Date: December 4, 2017 COURSE TITLE Intermediate Algebra I GENERAL COURSE INFORMATION Dept.: MATH Course Num: 098 (Formerly: MPC 095, 096) CIP Code: 33.0101 Intent Code: 11 Program Code: Credits: 5 Total Contact Hrs Per Qtr.: 55 Lecture Hrs: 55 Lab Hrs: 0 Other Hrs: 0 Distribution Designation: None COURSE DESCRIPTION (as it will appear in the catalog) This course includes the study of intermediate algebraic operations and concepts, and the structure and use of algebra. This includes solving, graphing, and solving applications of linear equations and systems of equations; simplifying, factoring, and solving quadratic functions, introduction to functions and models; and exponential and logarithmic functions along with applications. Students cannot earn credit for both MAP 119 and Math 098. PREREQUISITES MATH 094 or placement TEXTBOOK GUIDELINES Appropriate text chosen by math faculty. COURSE LEARNING OUTCOMES Upon successful completion of the course, students should be able to demonstrate the following knowledge or skills: 1. Use order of operations to simplify expressions and solve algebraic equations. 2. Use given points or a graph to find the slope of a line and write its equation. 3. Apply various techniques to factor algebraic expressions. 4. Convert word problems to algebraic sentences when solving application problems. 5. Use factoring techniques, the square root method, and the quadratic formula to solve problems with quadratics. 6. Solve systems of linear equations using substitution and elimination methods. 7. Evaluate an expression given in function notation. 8. Use properties of exponents and logarithms to solve simple exponential equations and simplify expressions. -
Arithmetic Expression Construction
1 Arithmetic Expression Construction 2 Leo Alcock Sualeh Asif Harvard University, Cambridge, MA, USA MIT, Cambridge, MA, USA 3 Jeffrey Bosboom Josh Brunner MIT CSAIL, Cambridge, MA, USA MIT CSAIL, Cambridge, MA, USA 4 Charlotte Chen Erik D. Demaine MIT, Cambridge, MA, USA MIT CSAIL, Cambridge, MA, USA 5 Rogers Epstein Adam Hesterberg MIT CSAIL, Cambridge, MA, USA Harvard University, Cambridge, MA, USA 6 Lior Hirschfeld William Hu MIT, Cambridge, MA, USA MIT, Cambridge, MA, USA 7 Jayson Lynch Sarah Scheffler MIT CSAIL, Cambridge, MA, USA Boston University, Boston, MA, USA 8 Lillian Zhang 9 MIT, Cambridge, MA, USA 10 Abstract 11 When can n given numbers be combined using arithmetic operators from a given subset of 12 {+, −, ×, ÷} to obtain a given target number? We study three variations of this problem of 13 Arithmetic Expression Construction: when the expression (1) is unconstrained; (2) has a specified 14 pattern of parentheses and operators (and only the numbers need to be assigned to blanks); or 15 (3) must match a specified ordering of the numbers (but the operators and parenthesization are 16 free). For each of these variants, and many of the subsets of {+, −, ×, ÷}, we prove the problem 17 NP-complete, sometimes in the weak sense and sometimes in the strong sense. Most of these proofs 18 make use of a rational function framework which proves equivalence of these problems for values in 19 rational functions with values in positive integers. 20 2012 ACM Subject Classification Theory of computation → Problems, reductions and completeness 21 Keywords and phrases Hardness, algebraic complexity, expression trees 22 Digital Object Identifier 10.4230/LIPIcs.ISAAC.2020.41 23 Related Version A full version of the paper is available on arXiv.