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### Exam2Equations

Course: PHYS 142, Fall 2009
School: Bard College
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Word Count: 138

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List Vectors t Equation t A B EF sin ) t t A B EF cos ) s i t t A B EB FB s j EC FC s k ED FD Magnetic Force t F ;t B v t t t t FMLB t t t 7 .B t t . MA Magnetic Field F .! M #1 &lt; (long, straight wire) F .! R .! 8M P (inside a solenoid) t t * B . s .! M (Ampere's Law) .! %1 &quot;!( T mA Faraday's Law X . FF .&gt; (Faraday's Law) EMF . FF t t * E .s .&gt;...

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List Vectors t Equation t A B EF sin ) t t A B EF cos ) s i t t A B EB FB s j EC FC s k ED FD Magnetic Force t F ;t B v t t t t FMLB t t t 7 .B t t . MA Magnetic Field F .! M #1 < (long, straight wire) F .! R .! 8M P (inside a solenoid) t t * B . s .! M (Ampere's Law) .! %1 "!( T mA Faraday's Law X . FF .> (Faraday's Law) EMF . FF t t * E .s .> (Faraday's Law) Inductors X P .M .> energy " # M P # Capacitors ; GZ energy ;# #G Circuits 7 VG (RC circuit) 7 P V (RL circuit) = PG " (LC circuit) Altern...

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begin%savefile%US(2, x, y) :- -27x+39y &lt; 5682, 8x+67y &lt; 14656, 75x+19y &lt; 15575, -33x+33y &gt; -1683, -53x+57y &gt; -2335, 59x+43y &gt; 6751, -83x+8y &lt; -2785.US(2, x, y) :- 28x+9y &lt; 6053, -5x+42y &gt; 3149, -33x+33y &lt;
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Geography of U.S. Elections Introduction Throughout the history of the United States, geography has been shown to have significant influence on voting patterns. After the Civil War, the &quot;solid South,&quot; once a haven for Democrats, became increasingly R
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begin%savefile%elec3to10(id, x, y, t) :- id = 2,-27 x +39 y &lt; 5682,8 x +67 y &lt; 14656,75 x +19 y &lt; 15575,33 x -33 y &lt; 1683,53 x -57 y &lt; 2335,-59 x -43 y &lt; -6751,-83 x +8 y &lt; -2785,t = 1980.elec3to10(id, x, y, t) :- id = 2,-27 x +39 y &lt;
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begin%savefile%turn30to45(id, x, y, t) :- id = 12,-24 x +10 y &lt; -7298,28 x +30 y &lt; 12806,18 x -24 y &lt; 4986,-22 x -16 y &lt; -8678,t = 1980.turn30to45(id, x, y, t) :- id = 12,-24 x +10 y &lt; -7298,28 x +30 y &lt; 12806,18 x -24 y &lt; 4986,-22 x
San Jose State - CMPE - 138
begin%savefile%usdem(id, x, y, t) :- id = 12,-24 x +10 y &lt; -7298,28 x +30 y &lt; 12806,18 x -24 y &lt; 4986,-22 x -16 y &lt; -8678,t = 1980.usdem(id, x, y, t) :- id = 12,-24 x +10 y &lt; -7298,28 x +30 y &lt; 12806,18 x -24 y &lt; 4986,-22 x -16 y &lt; -8
San Jose State - CMPE - 138
University of California, DavisApplication Development MethodologyTechniquesEntity-Relationship Modeling TechniqueOverviewThis section describes the definition of entity types and their relationships. It defines entity and relationship concept
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5 Rules of Data Normalization1. Eliminate Repeating Groups - Make a separate table for each set of related attributes, and give each table a primary key. 2. Eliminate Redundant Data - If an attribute depends on only part of a multi-valued key, remov
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NORMALIZATION By MATTIE MACGREGOR The aim of normalization is to remove certain kinds of data redundancy, and therefore avoid update anomalies. Update anomalies are difficulties with the insert, update and delete operations on a database due to the d
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NormalizationWell normalized data makes programming (relatively) easy, and works very well in multi-platform, enterprise wide environments. Non-normalized data leads to heartbreak.Normalization: The first three formsFirst Normal Form: No repeati
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Database Normalization By Ian Gilfillan By now some of you are familiar with the basics of using in your cgi scripts. Many of your databases will be small, with one or two tables. But as you become braver, tackling bigger projects, you may start find
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Data Normalization Fundamentals by Luke Chung President of FMS Inc. http:/www.fmsinc.com Introduction The ability to analyze data in Access is a fundamental skill that all developers must master. The better you are at organizing your data and knowing
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San Jose State - CMPE - 138
NORMALIZATION By MATTIE MACGREGOR The aim of normalization is to remove certain kinds of data redundancy, and therefore avoid update anomalies. Update anomalies are difficulties with the insert, update and delete operations on a database due to the d
San Jose State - CMPE - 138
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San Jose State - CMPE - 138
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San Jose State - CMPE - 138
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San Jose State - CMPE - 138
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San Jose State - CMPE - 138
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0.n Managed Person SSN Name Address 1.1 Manager
San Jose State - CMPE - 138
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San Jose State - CMPE - 138
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