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- Title: store1
- Type: Notes
- School: Arizona
- Course: CS 520
- Term: Fall
Coursehero >> Arizona >> Arizona >> CS 520
Path: Arizona >> CS >> 520 Fall, 2009
Path: Arizona >> CS >> 520 Fall, 2009
Path: Arizona >> CS >> 520 Fall, 2009
Path: Arizona >> CS >> 520 Fall, 2009
Path: Arizona >> CS >> 520 Fall, 2009
Path: Arizona >> CS >> 520 Fall, 2009
Path: Arizona >> CS >> 520 Fall, 2009
Path: Arizona >> CS >> 520 Fall, 2009
Path: Arizona >> CS >> 520 Fall, 2009
Path: Arizona >> CS >> 520 Fall, 2009
Path: Arizona >> CS >> 520 Fall, 2009
Path: Arizona >> CS >> 520 Fall, 2009
Path: Arizona >> CS >> 520 Fall, 2009
Path: Arizona >> CS >> 520 Fall, 2009
Path: Arizona >> CS >> 520 Fall, 2009
Path: Arizona >> CS >> 520 Fall, 2009
Path: Arizona >> CS >> 520 Fall, 2009
Path: Arizona >> CS >> 520 Fall, 2009
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Path: Arizona >> CS >> 372 Fall, 2009
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Path: Arizona >> CS >> 227 Fall, 2008
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Path: Arizona >> MATH >> 456 Spring, 2008
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Path: Arizona >> MATH >> 223 Fall, 1998
Path: Arizona >> MATH >> 223 Fall, 1998
Path: Arizona >> MATH >> 223 Fall, 1998
Path: Arizona >> MATH >> 223 Fall, 1998
Path: Arizona >> MATH >> 223 Fall, 1998
Path: Arizona >> MATH >> 223 Fall, 1998
Path: Arizona >> MATH >> 223 Fall, 1998
Path: Arizona >> MATH >> 215 Fall, 2008
Path: Arizona >> MATH >> 223 Fall, 1998
Path: Arizona >> MATH >> 215 Fall, 2008
Path: Arizona >> MATH >> 223 Fall, 1998
Path: Arizona >> MATH >> 124 Fall, 2008
Path: Arizona >> MATH >> 124 Fall, 2008
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Path: Arizona >> MATH >> 129 Spring, 2006
Path: Arizona >> MATH >> 129 Spring, 2006
Path: Arizona >> MATH >> 129 Spring, 2006
Path: Arizona >> MATH >> 215 Fall, 2008
Path: Arizona >> MATH >> 124 Fall, 2008
Path: Arizona >> MATH >> 124 Fall, 2008
Path: Arizona >> MATH >> 129 Spring, 2006
Path: Arizona >> MATH >> 124 Fall, 2008
Path: Arizona >> MATH >> 129 Spring, 2006
Path: Arizona >> MATH >> 129 Spring, 2006
Path: Arizona >> MATH >> 124 Fall, 2008
Path: Arizona >> MATH >> 124 Fall, 2008
Path: Arizona >> MATH >> 223 Fall, 1998
Path: Arizona >> MATH >> 120 Fall, 2008
Path: Arizona >> EEB >> 37 Fall, 2009
Path: Arizona >> ECE >> 575 Fall, 2008
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2/19/102 cut AT&T FOIL 1 | + | + cut The Store primitive domains Location , Storable domains contain locations can be unallocated (unused) locations can be allocated but unde fined store: a mapping from locations (refs) to values Store = Location (stored Storable + unde fined + unused) injection maps for tagged union: stored : Storable (stored Storable + unde fined + unused) unde fined : (stored Storable + unde fined + unused) unused : (stored Storable + unde fined + unused) + | | + 2/19/102 AT&T FOIL 2 | + | + Update Operator [a b] is an operator that takes a function f to | another function f [a b]. It is written postfix. | Definition: Let f : X Y and let a, b be any values. The function f [a b] : | X {a} Y {b} is defined by: ( f [a b])(x) = | b if x = a f (x) if x a We can extend this notation to multiple successive changes as follows: f [a 1 b 1 , a 2 b 2 ] = ( f [a 1 b 1 ]) [a 2 | | | | b2] Example: Semantics of assignment. Suppose the identifier x is bound to the location l. Then executing the assignment x:= e has the effect of changing memory: | execute[[x:= e]] sto = sto[l eval[[e]] + sto] | | + 2/19/102 AT&T FOIL 3 | + | + Auxiliary Functions empty store allocate deallocate update fetch : : : : : Store Store Store Store Store Store Location Location Store Location Storable Store Location Storable empty store = loc . unused allocate sto = let loc = any unused location(sto) in ( sto[loc unde fined] , loc ) | deallocate(sto, loc) = sto[loc unused] | update(sto, loc, stble) = | sto[loc stored stble] fetch(sto, loc) = let stored value(stored stble) = stble stored value(unde fined) = stored value(unused) = in stored value(sto(loc)) + | | + 2/19/102 AT&T FOIL 4 | + | + Example A simple language with expressions and assignment Syntax Command ::= Identifier := Expression | Command ; Command + Expression Expression ::= Expression | Numeral | Identifier Semantics semantic function binds names to locations: location : Identifier Location semantic map: execute : Command Store Store execute[[I : = E]] sto = let int = evaluate[[E]] sto in update(sto, location I, int) execute[[C 1 ; C 2 ]] sto = let sto = execute[[C 1 ]] sto in execute[[C 2 ]] sto + | | +
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01intro.pdf
Path: Arizona >> CS >> 520 Fall, 2009
Description: CSC 520 Principles of Programming Languages 1/8/2009 C SC 520: Principles of Programming Languages Peter J. Downey Department of Computer Science C SC 520 Principles of Programming Languages 1 Principles of Programming Languages Lecture 01 Intro...
store1.pdfPath: Arizona >> CS >> 520 Fall, 2009
Description: cut cut 2/26/106 AT&T FOIL 1 | | + + The Store primitive domains Location , Storable domains contain locations can be unallocated (unused) locations can be allocated but unde fined store: a mapping from locations (refs) to values ...
recur5.pdfPath: Arizona >> CS >> 520 Fall, 2009
Description: cut 3/4/102 recur5 FOIL 1 | + | + cut Recursion Observe that EXP 1 as currently defined has no recursion: Ex: Let foo be bound to x.0 in the environment u[foo x.0]. Consider the evaluation of the | following expression: evaluate[let fun foo(...
proc6.pdfPath: Arizona >> CS >> 520 Fall, 2009
Description: cut 3/6/102 proc FOIL 1 | + | + cut Procedure Abstractions a procedure value is a map from arguments to a store transformation as before: how do free names (not parameters) get bound? Syntax of IMP 1 Command :=. | Identifier ( Actual-Parameter...
lecture05.pptPath: Arizona >> CS >> 520 Fall, 2009
Description: PrinciplesofProgramming Languages Lecture05 DenotationalSemanticsof FunctionalandImperativeLanguages C SC 520 Principles of Programming Languages DenotationalSemantics 1. TheStore 2. TheEnvironment 3. ImperativeLanguageIMP 4. FunctionAbstractions 5...
lecture07.pptPath: Arizona >> CS >> 520 Fall, 2009
Description: PrinciplesofProgramming Languages Lecture07 Parameters C SC 520 Principles of Programming Languages ParameterPassingModes DefinitionalModes(calltimebinding) CopyingModes(calltimecopying) Callasconstant Callbyreference Callbyvalue Callbycopy...
04types.pptPath: Arizona >> CS >> 520 Fall, 2009
Description: PrinciplesofProgramming Languages Lecture04 TypesandPolymorphism C SC 520 Principles of Programming Languages 1 Types Whatisatype? Anequivalenceclassofobjects/values x Denotationalview:atypeisaset(ofvalues):Pascal v x Weekday {sun, mon, tue,...
lecture06.pptPath: Arizona >> CS >> 520 Fall, 2009
Description: PrinciplesofProgramming Languages Lecture06 Implementationof BlockStructuredLanguages C SC 520 Principles of Programming Languages ActivationsandEnvironment AspectsofSubroutines:StaticvsDynamic Staticsubroutine:code(`reentrant) x Subroutinein...
05semantics.pptPath: Arizona >> CS >> 520 Fall, 2009
Description: PrinciplesofProgramming Languages Lecture05 DenotationalSemanticsof FunctionalandImperativeLanguages C SC 520 Principles of Programming Languages 1 DenotationalSemantics 1. TheStore 2. TheEnvironment 3. ImperativeLanguageIMP 4. FunctionAbstraction...
lecture03.pptPath: Arizona >> CS >> 520 Fall, 2009
Description: PrinciplesofProgramming Languages Lecture03 TheoreticalFoundations C SC 520 Principles of Programming Languages Domains Semanticmodelofadatatype:semanticdomain DomainsD aremorethanasetofvalues Examples:Integer, Natural, Truth-Value Havean`...
func4.pdfPath: Arizona >> CS >> 520 Fall, 2009
Description: cut cut 2/26/106 func4 FOIL 1 | | + + Function Abstractions meaning of a defined function is a functional abstraction main semantic issue: how do free names (not parameters) get bound? EXP 1 - Extended EXP Expression :=. | Identifier (...
criteria2.pdfPath: Arizona >> CS >> 520 Fall, 2009
Description: cut 1/6/102 criteria2 FOIL 8 | + | + cut Another bad example: A[ a + B[f(a)] + g(a) ] := C[a] := 0; D.E. Knuth, The Remaining Trouble Spots in ALGOL 60\", CACM 1967. + | | + 1/6/102 criteria2 FOIL 9 | + | + (6) C, C+: Semantics of express...
copyparm8.pdfPath: Arizona >> CS >> 520 Fall, 2009
Description: cut cut 2/26/106 copyparm8 FOIL 1 | | + + Copy Parameters all require local allocation of refs copy-in: copy from the r-value of callers variable/const copy-out: copy to the l-value of callers variable copy-in/copy-out: same variable...
hw5.pdfPath: Arizona >> CS >> 520 Fall, 2009
Description: CSc520 homework 5 DUE: Monday 17 April 2006 3 April 2006 1. Minimal Fixed Points By unfolding (\"unwinding\") the following recursive functions, infer what the minimal xed point function is. Then, by direct substitution into the right-hand-side func...
02criteria-2up.pdfPath: Arizona >> CS >> 520 Fall, 2009
Description: cut 1/7/106 AT&T FOIL 1 | + | + cut Criteria for Language Design 1. Simplicity - mnemonic Criteria for Language Design - clear easily mastered semantics - as few basic concepts as possible - feature/concepts limited enough to master entire P...
03theory.pdfPath: Arizona >> CS >> 520 Fall, 2009
Description: Principles of Programming Languages Lecture 03 Theoretical Foundations C SC 520 Principles of Programming Languages 1 Domains Semantic model of a data type: semantic domain ! Examples: Integer, Natural, Truth-Value Have an `information ordering ...
static10.pdfPath: Arizona >> CS >> 520 Fall, 2009
Description: cut cut 2/26/106 static10 FOIL 1 | | + + Static Semantics structural constraints not captured by BNF or abstract grammar resolvable at \"semantic analysis time\" (after symbol-table built) ex: Command := while Expression do Command Expr...
05semantics.pdfPath: Arizona >> CS >> 520 Fall, 2009
Description: Principles of Programming Languages Lecture 05 Denotational Semantics of Functional and Imperative Languages C SC 520 Principles of Programming Languages 1 Denotational Semantics 1. The Store 2. The Environment 3. Imperative Language IMP 4. Functi...
08continuations.pdfPath: Arizona >> CS >> 520 Fall, 2009
Description: Principles of Programming Languages Lecture 08 Control Semantics & Continuations C SC 520 Principles of Programming Languages Semantics of Control Flow Sequencers: commands that cause control transfers: ! ! ! ! ! ! ! goto return exit break contin...
ex1s96sol.pdfPath: Arizona >> CS >> 372 Fall, 2009
Description: CSc 372, Spring 1996 Mid-term Examination Solution Key Problem 1 (6 points): State a definition for the term \"programming language\". In the slides, a programming language is said to be \"a notation for the description of computation\". Name a language ...
ex1s97sol.pdfPath: Arizona >> CS >> 372 Fall, 2009
Description: CSc 372, Spring 1997 Mid-term Examination Solutions Problem 1: (1 points each; 4 points total) State the type of each of the following expressions, or if the expression is not valid, state why. For example, the type of the expression 3+4 is int. ([1,...
ex1f96.pdfPath: Arizona >> CS >> 372 Fall, 2009
Description: CSc 372, Fall 1996 Mid-Term Examination Monday, October 21, 1996 READ THIS FIRST Do not turn this page until you are told to begin. This exam ination consists of nine problem s and an extra credit section presented on twelve num bered pages. On probl...
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Description: Chapter 5 Analysis of Algorithms Goals Analyze algorithms Understand some classic searching and sorting algorithms Distinguish runtime order: O(1), O(n), O(n log n), and O(n2) 5.1 Algorithm Analysis This chapter introduces a way to investigate t...
recursion.pdfPath: Arizona >> CS >> 227 Fall, 2008
Description: 227 In Class: \"Recursion\" Form a team of 2 and print you names neatly here a. _ b._ Choose the scribe as the person with the shortest last name (has fewer chars). Flip a coin on a tie. 1. Write the return values from each call to the method named mys...
2Fall06.pdfPath: Arizona >> CS >> 227 Fall, 2008
Description: Chapter 2 Objects, Control Structures, and Arrays Goals Construct and use Objects Introduce assertions with JUnit Be able to use existing methods by reading method headings and documentation Be able to write and test your own methods with JUn...
5.pdfPath: Arizona >> CS >> 227 Fall, 2008
Description: Chapter 5 Analysis of Algorithms Goals Analyze algorithms Understand some classic searching sorting and algorithms Distinguish O(1), O(n), O(n log n), and O(n2) 5.1 Algorithm Analysis This chapter introduces a way to reason about the efficiency ...
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Description: Chapter 6 Collection Considerations Goals Introduce class Object and inheritance Show how one collection can store any type of element using and array of Object Show how one collection can store any type of element using generics Preview three s...
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Description: Chapter 9 Stacks and Queues 9.1 Stacks The stack abstract data type allows access to only one elementthe one most recently added. This location is referred to as the top of the stack. Consider how a stack of books might be placed into and removed fr...
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Description: Green\'s functions, formulas and representations Suppose that we want to solve a linear, inhomogeneous equation of the form Lu(x) = f (x) + homogeneous boundary conditions. (1) Here u, f are functions whose domain is , which could be either a finite o...
Sect1.6-084.pdfPath: Arizona >> M >> 124 Fall, 2009
Description: POLYNOMIAL & RATIONAL FUNCTIONS (1.6) NAME_ 1. Consider the function y ( x) = x 6 - 2 x 5 - 8 x 4 + 14 x3 + 11x 2 - 28 x + 12 A. Plot y ( x ) in the window -3 x 4 , -50 y 100 . B. Find the zeros of y ( x ) . -3 -2 -1 0 1 2 3 4 C. Expre...
odd-even%20proof.pdfPath: Arizona >> MATH >> 124 Fall, 2008
Description: Proof that the Derivative of an Odd Function is Even First, we need a technical lemma (a preliminary result). Lemma. If lim g(h) exists, then lim g(-h) exists and is equal to lim g(h). h0 h0 h0 Proof. Since h0 lim g(h) = lim g(h) = lim g(-h), h0- h...
practice_exam3.pdfPath: Arizona >> MATH >> 223 Fall, 1998
Description: Math 223 Vector Calculus Author: Arlo Caine Practice Exam 3 Name: Directions: Read all questions carefully. Use a pencil and erase all unnecessary marks. Show all of your work in the space provided and display your answer on the line given if requ...
practice_exam3_solutions.pdfPath: Arizona >> MATH >> 223 Fall, 1998
Description: Math 223 Vector Calculus Instructor: Arlo Caine Practice Exam 3 Name: Solutions Directions: Read all questions carefully. Use a pencil and erase all unnecessary marks. Show all of your work in the space provided and display your answer on the line...
practice_exam4_solutions.pdfPath: Arizona >> MATH >> 223 Fall, 1998
Description: Math 223 Vector Calculus Author: Arlo Caine Practice Exam 4 Name: Solutions Directions: Read all questions carefully. Use a pencil and erase all unnecessary marks. Show all of your work in the space provided and display your answer on the line giv...
practice_exam1_solutions.pdfPath: Arizona >> MATH >> 223 Fall, 1998
Description: Math 223 Vector Calculus Author: Arlo Caine Practice Exam 1 Name: Solutions Directions: Read all questions carefully. Use a pencil and erase all unnecessary marks. Show all of your work in the space provided and display your answer on the line giv...
practice_exam2_solutions.pdfPath: Arizona >> MATH >> 223 Fall, 1998
Description: Math 223 Vector Calculus Author: Arlo Caine Practice Exam 2 Name: Solutions Directions: Read all questions carefully. Use a pencil and erase all unnecessary marks. Show all of your work in the space provided and display your answer on the line giv...
practice_exam4.pdfPath: Arizona >> MATH >> 223 Fall, 1998
Description: Math 223 Vector Calculus Instructor: Arlo Caine Practice Exam 4 Name: Directions: Read all questions carefully. Use a pencil and erase all unnecessary marks. Show all of your work in the space provided and display your answer on the line given if ...
practice_exam1.pdfPath: Arizona >> MATH >> 223 Fall, 1998
Description: Math 223 Vector Calculus Author: Arlo Caine Practice Exam 1 Name: Directions: Read all questions carefully. Use a pencil and erase all unnecessary marks. Show all of your work in the space provided and display your answer on the line given if requ...
Test2_solutions.pdfPath: Arizona >> MATH >> 215 Fall, 2008
Description: Math 215 - Section 004 Test 2 - Solutions You have 75 minutes to complete the test. Show all of your work clearly. Unless otherwise specified, each answer must be explained and justified. Do not use decimal approximations. 1. Determine whether the ve...
practice_exam2.pdfPath: Arizona >> MATH >> 223 Fall, 1998
Description: Math 223 Vector Calculus Author: Arlo Caine Practice Exam 2 Name: Directions: Read all questions carefully. Use a pencil and erase all unnecessary marks. Show all of your work in the space provided and display your answer on the line given if requ...
Test3_review.pdfPath: Arizona >> MATH >> 215 Fall, 2008
Description: Math 215 - Section 004 Review Questions for Test 3 This review is not comprehensive. 1. Let T : R2 R3 be linear. a. Explain why the image of T cannot be all of R3 . (In fact, this is not the case if T is not assumed to be linear. It is possible to c...
Vector_Fields_Lab_solutions.pdfPath: Arizona >> MATH >> 223 Fall, 1998
Description: Math 223 - Section 010 Vector Fields Lab with Solutions In this lab, you will use the applet at http:/www.falstad.com/vector3d/ to develop some intuition about vector elds in space. Some general comments about the applet: The Particles (Vel.) and St...
PracticeTest4.pdfPath: Arizona >> MATH >> 124 Fall, 2008
Description: Math 124 - Section 012 Practice Problems for Test 4 Problems similar to these may show up on the test, but this is not a comprehensive review. 1. A wet summer is causing a mosquito population explosion in a lake resort area. The number of mosquitos i...
Test1a.pdfPath: Arizona >> MATH >> 124 Fall, 2008
Description: Math 124 - Section 012 Test 1a You have 50 minutes to complete the test. Read each problem carefully. Do not use decimal approximations unless you are explicitly asked to do so. Show all of your work. 1. (10 pts) State the Intermediate Value Theorem....
PracticeTest3.pdfPath: Arizona >> MATH >> 124 Fall, 2008
Description: Math 124 - Section 012 Practice Problems for Test 3 Questions similar to these may show up on the test, but this is not a comprehensive review. 2 1. Let f (x) = e(x ) . a. Find the tangent line approximation, which we will call l(x), for f (x) near ...
Test2Practice.pdfPath: Arizona >> MATH >> 129 Spring, 2006
Description: Math 129 - Section 017 Practice Problems for Test 2 This is not a comprehensive practice test. Other topics may appear on the test. In particular, be sure that you can solve all of the homework problems and all of the problems on the handouts given i...
series.pdfPath: Arizona >> MATH >> 129 Spring, 2006
Description: Math 129 - Section 017 Exercises on Convergence of Series Determine whether each of the following series converges. Explain your answers. 1. n=1 (n 1)! n2 en 2. n=1 3. n=1 2 3 n 4. (1)n1 3n 1 n=1 5. n=1 sin n n2 cos n n n+2 n2 1 ...
Test1Practice.pdfPath: Arizona >> MATH >> 129 Spring, 2006
Description: Math 129 - Section 017 Practice Problems for Test 1 1. Compute the following integrals. Simplify your answers as much as possible. a. b. c. d. e. f. g. t2 dt 1 + t2 xn ln(x5 )dx ye-y dy z 2 (arctan z)dz x sin(x + 1)dx 1 (5x + 2)(2/5) 0 1 dv v-1 3 ...
homework_sample.pdfPath: Arizona >> MATH >> 215 Fall, 2008
Description: Homework Sample Problem: A 30 kilogram weight is hanging at the end of a 40 meter rope. The rope weighs 1 kilogram per meter. Compute the work required to raise the rope and weight to 2 the height of the top of the rope. Solution: The work required ...
quiz1-8_solutions.pdfPath: Arizona >> MATH >> 124 Fall, 2008
Description: Math 124 - Section 012 Quiz on 1.8 Write clearly and show all of your work. Good luck. 1. Assuming that limits as x have the properties listed in section 1.8 for limits as x c, 3 5x( 2 ) + 1 use algebraic manipulations to evaluate lim . 3 x 3x + 4...
hw%20hints%20-%204.6.pdfPath: Arizona >> MATH >> 124 Fall, 2008
Description: Math 124 - Section 012 Hints for section 4.6 13(b) By the chain rule, dx = dx d . Compute dx using the formula x = cos . From the dt d dt d graph, d |t=2 1. Compute dy in the same way (using y = sin ). dt dt 6 r 18(c) Combine the equations h = 10 an...
exercises8.5.pdfPath: Arizona >> MATH >> 129 Spring, 2006
Description: Math 129 - Section 001 Exercises for sections 8.4 and 8.5 Show all of your work. 1. A block of ice weighing 500 lbs. is to be lifted from the ground to the top of a 200 foot tall building. In the 20 minutes it will take to do this, the block will los...
quiz6-1_solutions.pdfPath: Arizona >> MATH >> 124 Fall, 2008
Description: Math 124 - Section 012 Quiz on 6.1 with solutions Write clearly and show all of your work. Good luck. 1. The function f (x) is graphed below. Draw graphs of two antiderivatives of f (x), F1 (x) and F2 (x), such that F1 (2) = -1 and F2 (2) = 2. Use th...
approximations.pdfPath: Arizona >> MATH >> 129 Spring, 2006
Description: Math 129 - Section 017 Exercises on Numerical Approximation of Integrals 1. Suppose f is (strictly) increasing and concave down on [a, b]. List the following numbers b in order from least to greatest: LEFT(n), RIGHT(n), MID(n), TRAP(n), b a f (x)dx...
exercises8.5.pdfPath: Arizona >> MATH >> 129 Spring, 2006
Description: Math 129 - Section 017 Exercises for section 8.4-8.5 Show all of your work. 1. A block of ice weighing 500 lbs. is to be lifted to the top of a 200 foot tall building. In the 20 minutes it will take to do this, the block will lose 12 lbs. Assume that...
3-8no30.pdfPath: Arizona >> MATH >> 124 Fall, 2008
Description: Math 124 - Section 012 Solution to section 3.8, #30 We know x = 0 and y = 615 at the top of the arch, so 0 615 = b a cosh( ) = b a. a This implies that b = a + 615. We also know that x = 215 and y = 0 where the arch hits the ground, so 265 265 0 = ...
quiz1-7_answers.pdfPath: Arizona >> MATH >> 124 Fall, 2008
Description: Math 124 - Section 012 Quiz on 1.7 Write clearly and show all of your work. Good luck. 1. If possible, choose k so that the following function is continuous on any interval. f (x) = x4 -4 x2 -2 k if x = 2 if x = 2 Answer: k = 4 2. A 2 mg dose o...
Test3a_solutions.pdfPath: Arizona >> MATH >> 223 Fall, 1998
Description: Math 223 - Section 010 Test 3a with Solutions You have 50 minutes to complete the test. Show all of your work clearly. Unless otherwise stated, each answer must be explained and justified. 1. For each of the following statements, circle TRUE or FALSE...
exercise1.pdfPath: Arizona >> MATH >> 120 Fall, 2008
Description: Math 120r - Section 002 Exercise 1 First, recall the definition of a function: A function is a set of ordered pairs of the form (input, output) such that each input value is paired with exactly one output value. So, for example, {(1,2),(1,3),(2,4)} ...
Price_Enquist_Savage_2007.pdfPath: Arizona >> EEB >> 37 Fall, 2009
Description: A general model for allometric covariation in botanical form and function Charles A. Price*, Brian J. Enquist*, and Van M. Savage *Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721; Sante Fe Institute, 1399 Hyde ...
e575fall2khw2-sol.pdfPath: Arizona >> ECE >> 575 Fall, 2008
Description: Solution to Homework Assignment 2 Date: September 25, 2000 Part 1: See the trajectory below. Part 2(a) and 2(b): Assumptions: Force will always be a finite amount and greater than zero Only through query, the position of the ball can be determined ...
SIWDEVSImplemHLARTI.pdfPath: Arizona >> SIW >> 99 Fall, 2009
Description: Implementation of the DEVS Formalism over the HLA/RTI: Problems and Solutions1 Bernard P. Zeigler George Ball Hyup Cho J.S. Lee Hessam Sarjoughian AI and Simulation Group Department of Electrical and Computer Engineering University of Arizona, Tucson...
Lec.pptPath: Arizona >> ECE >> 575 Fall, 2008
Description: ECE-575 Slides (fall 2000) Hessam S. Sarjoughian Copyright: University of Arizona Arizona Center for Integrative Modeling and Simulation Electrical & Computer Engineering University of Arizona, Tucson, Arizona All rights reserved website: www.acims....
Ch3DEVSSimulator.pptPath: Arizona >> DEVS >> 3 Fall, 2009
Description: Chapter 3 DEVS Simulators Linking Models and Simulators DEVS Simulation Protocol Classes Atomic Model Simulator Basic DEVS Simulation Protocol Illustrating the DEVS Simulation Protocol within DEVS itself DEVS Simulation Protocol as Implemented ...
Ch14SpatialSOC.pptPath: Arizona >> DEVS >> 3 Fall, 2009
Description: Chapter 14 Spatial Threshold Systems including Self-Organized Criticality Cellular DEVS Models of Spatial Threshold Systems DEVS abstractions of continuous systems with threshold behavior allow simulations that would otherwise be too complex/time co...
e575fall2khw4.pdfPath: Arizona >> ECE >> 575 Fall, 2008
Description: ECE-575, fall 2000 Homework Assignment # 4 Assigned: Oct. 10, 2000 Due: Oct. 26, 2000 A Switch model is given in the classnotes (Parallel DEVS Models in DEVSJAVA). A SwitchNetwork coupled model is shown below with components that are Switches slightl...
notes1.docPath: Arizona >> DOC >> 542 Fall, 2009
Description: The first worksheet is \"Spread Trades.\" Here we have the market information on 2 coupon-paying Government securities over three days: December 2, 3, and 4, 1991. Of course, in the example we would imagine that we start on December 2, so that the futu...
notes1.docPath: Arizona >> FINANCE >> 542 Fall, 2009
Description: The first worksheet is \"Spread Trades.\" Here we have the market information on 2 coupon-paying Government securities over three days: December 2, 3, and 4, 1991. Of course, in the example we would imagine that we start on December 2, so that the futu...
SGQ11.docPath: Arizona >> FINANCE >> 542 Fall, 2009
Description: Study Guide for Quiz 11 November 13, 2008 1. The Data File. What are the data? What period? Etc. 2. Matlab What we did in class: a. Importing the data and the function. b. Using the function. c. The interface. (What does Januj\'s PCA.m do?) d. How t...
eo1.pptPath: Arizona >> FINANCE >> 522 Fall, 2009
Description: Exotic Options Chris Lamoureux Exotic Options 04/10/09 1 Definitions / Taxonomy The major (broad) categories of exotic options are: Path-Dependent Singular Payoffs (Contingent Premium) Time-Dependent or Preference Multivariate Nested or Compo...