3 Pages

templateUses

Course: CS 2008, Fall 2009
School: Georgia Tech
Rating:
 
 
 
 
 

Word Count: 1730

Document Preview

of Uses Templates 1. Homogeneous container classes 2. The algorithms that use them 3. Function objects 4. Mixins 1. Container Classes Class whose instances can hold objects of other classes Sets, lists, maps, stacks, queues, etc. Homogeneous container classes require all held objects to be of the same class (the element type) or its subclasses Java 1.4 solution All contained elements of class Object...

Register Now

Unformatted Document Excerpt

Coursehero >> Georgia >> Georgia Tech >> CS 2008

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
of Uses Templates 1. Homogeneous container classes 2. The algorithms that use them 3. Function objects 4. Mixins 1. Container Classes Class whose instances can hold objects of other classes Sets, lists, maps, stacks, queues, etc. Homogeneous container classes require all held objects to be of the same class (the element type) or its subclasses Java 1.4 solution All contained elements of class Object Downcast on retrieval Lack of data polymorphism C++ solution: template classes Standard Template Library (STL) STL Containers Homogeneous, templatized container classes deque, list, map, set, multimap, multiset, queue, stack, vector Iterators support traversals without revealing implementation STL Example - vector<> Constructors #include <vector> vector<int> vec0; vector<int> vec1(10); vector<int> vec2(10, -6); int ia[4] = {0, 1, 2, 3}; vector<int> vec3(ia, ia + 4); vector<int> vec4(vec2); STL Example - 2 Traversal (overloaded []) int size = 5; vector<int> vec(size); for (int ix = 0; ix < size; ++ix) vec[ix] = ix; Traversal (iterator) vector<int>::iterator iter = vec.begin(); for (int ix = 0; iter != vec.end(); ++iter, ++ix) *iter = ix; Iterators Mechanism for delivering elements of a collection without revealing the collections implementation Categories Input (getters) Output (setters) Forward (read/write) Bidirectional Random access Iterator Details begin() and end() ++iter gives next; *iter gives value (or lvalue) Support for scalar arithmetic (iter += 5) const and non-const versions reverse insert (front, back, inserter) Vector Iterator Example #include < vector > extern int getSize(); void mumble() { int size = getSize(); vector< int > vec( size ); vector < int >::iterator iter = vec.begin(); for ( int ix = 0; iter != vec.end(); ++iter, ++ix ) *iter = ix; } Example - 2 int ia[10] = {51, 23, 7, 88, 41, 98, 12, 103, 37, 6}; vector<int> vec(ia, ia + 10); int search_value; cin >> search_value; vector<int>::iterator found; found = find(vec.begin(), vec.end(), search_value); if (found != vec.end()) cout << "search_value found!\n"; else cout << "search_value not found!\n"; 2. Generic Algorithms in STL First two arguments are a pair of iterators Beginning and end of container Alternate versions Built in operator Function object Pointer to function Alternative versions for container modification In-place In-copy #include <algorithm> <numeric> Adjacent difference, accumulate, inner product, partial sum 3. Function Objects Classes can define methods that override builtin operations E.g. use + to add two rationals together One such operator is (), the method call operator If a class named f overrides (), then fi(x, y) invokes the overriding method and passes it two arguments, where fi is an instance of class f The object is nothing more than a shell around a method Because it is an object, it can be passed around and composed The Standard Template Library (STL) makes heavy use of function objects Uses of Function Objects Passed as parameter to template function Can be inlined Can store state Can be composed (functional programming) Motivating Example Functions can use other functions (minval uses a comparison function) template <typename T> const T& min(const T *p, int size) { T minval = p[0]; for (int ix = 1; ix < size; ++ix) if (p[ix] < minval) minval = p[ix]; return(minval); } Wouldn't work for strings! Need an alternative mechanism Possible Solutions Function pointers Cant be inlined Adds a level of indirection Macros Multiple side effects: #define twice(x) (x*x) Name scopes are lexical rather than syntactic Function objects Pointer to Function Example template <typename T, bool (*Comp)(const T&, const T&)> const T& min(const T *p, int size, Comp comp) { T minval = p[0]; for (int ix = 1; ix < size; ++ix) if (Comp(p[ix], minval)) // Function not method minval = p[ix]; return(minval); } Function Object Example class IntComparator { // Function object for ints public: bool operator() (int val1, int val2) { return(val1 < val2);} }; template <typename T, typename C> const T& min(const T *p, int size, C cmp) { T minval = p[0]; for (int ix = 1; ix < size; ix++) if (cmp(p[ix], minval)) minval = p[ix]; return(minval); }; IntComparator icf; min(arr, 10, icf); Sources of Function Objects Standard Template Library (STL) Predefined arithmetic, relational, logical (#include <functional>) Binders: converts a binary function to unary by fixing one of its arguments; partial evaluation Adapters (negators); reverses sense of a boolean function User defined Example Function object specialized to a single value (10) class less_equal_ten { public: bool operator() (int val) {return(val <= 10);} }; count_if (vec.begin(), vec.end(), less_equal_ten()); // count_if is a generic algorithm from the STL count_if (vec.begin(), vec.end(), not1(less_equal_ten())); // not1 is an adapter that takes one argument of type // (function of one argument returning bool) Alternative Approach Generalize by using constructor to supply value class less_equal_value { public: less_equal_value(int val) : _val(val) {} bool operator() (int val) {return(val <= _val);} private: int _val; }; count_if(vec.begin(), vec.end(), less_equal_value(10)); Another Alternative Templatized function object with value supplied in template parameter template <int _val> class less_equal_value { public: bool operator() (int val) {return(val <= _val);} }; count_if(vec.begin(), vec.end(), less_equal_value<10>()); // But _val must be a constant 4. Mixins Class fragment intended to be composed with other classes Two implementations Secondary superclasses when multiple inheritance is used class Foo : public Bar, public Mix {}; Parameterized class with superclass taken from parameter (abstract subclass) template <typename Mix> class Foo : public Bar, public Mix {}; Motivating Class Exampe Client needs to invoke the services of another class Server With traditional C++ dynamic method-binding, Client invokes services by calling them indirectly through a pointer to a particular Server object Traditional Solution class Server { public: void service() { ... } }; class Client { public: void function(Server& s) { ... s.service(); ... } }; // main Client cl; Server se; cl.function(se); Multiple Inheritance Solution class ServiceInterface { // Grandparent public: virtual service() = 0; // pure virtual } class Server : public virtual ServiceInterface { public: service() {...} // Parent 1 } class Client : private virtual ServiceInterface { public: function() { ... service(); ... } // Parent 2 } class System : public Client, private Server {} // Child Explanation ServiceInterface is an abstract class that defines a pure virtual operation service. It holds the top position in the diamond Class Server is a concrete class that inherits from ServiceInterface and provides the implementation method for the service operation. It is one of the two parents in the diamond Class Client is a concrete class that define an operation function, implemented by invoking service(). It is the other parents Operations in Client can invoke operations declared in ServiceInterface by name, as Client inherits the signatures for all of these operations from ServiceInterface Because Client uses private inheritance, operations in ServiceInterface do not become part of the Client interface Class System combines Client and Server, binding the uses of the service operation in Client to the method that implements it, which is defined in Server. It is the bottom of the diamond Parameterized Inheritance Solution By implementing Client with parameterized inheritance and instantiating it with Server, we get an efficient implementation that avoids the indirection Template Solution class Server { public: void service() { ... } }; template<class SERVER> class Client : SERVER { public: void function() { ...SERVER::service();... } }; // main Client<Server> cl; cl.function(); Explanation Client is a mixin class whose parameter can be any class providing the required service, in this case Server When Client is instantiated with Server as its template parameter, an actual class sys is defined Note that Server becomes a parent class to Client. That is, service is an actual method in Client, meaning that no object pointer is required. Invocation of sys.function causes method service in class Server to be called without paying the cost of an indirect reference typical of dynamic (or even static) binding Template Mixin Advantages Compared to multiple virtual inheritance, templatized mixins have the following advantages May require fewer classes No need for a child class to inherit the base and the mixin No need for artificial grandparent class One less level of indirection Can be written from a bottom-up point of view Compared to traditional dynamic binding, there is no costly indirection, nor any distracting pointer Case Study Comparison between parametric and subtype polymorphism General mechanism for swapping two variables Variables must be of the same type Process Determine required operations Define abstract type with those operations as virtual functions Rewrite swap routine using abstract type as types of parameters Parametric Solution template <class T> void swap (T& a, T& b) { const T c = a; a = b; b = c; } Subtyping Solution Must define an abstract class that characterizes swappability Have the class of the variables to be swapped inherit from the abs...

Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

Georgia Tech - CS - 6330
Uses of Templates1. Homogeneous container classes 2. The algorithms that use them 3. Function objects 4. Mixins1. Container Classes Class whose instances can hold objects of other classes Sets, lists, maps, stacks, queues, etc. Homogeneous cont
Pittsburgh - SUPER - 7
Maternal Health MeasurementsMoussa LY , MPHMonitoring &amp; Evaluation Specialist Maternal Health/Family Planning Project Dakar - SenegalOutline course To determine causes related to maternal health complications To identify best indicators (Indepe
Georgia Tech - MATH - 3770
Midterm 1 for Math 3225 1. Suppose that A is a nite set. Fix an element a A, and consider the sequence a, (a), ( )(a), ( )(a), . where phi is an injection from A to A. Prove that there exists an integer n 1 such that n (a) = ( )(a) = a.
Georgia Tech - MATH - 2406
Midterm 1, Math 110 1. Suppose that A, B and C are n n matrices with A = BC. Prove that if the rank of B equals n, then rank(A) = rank(C).2. Prove that if A and B are two n n nilpotent matrices which commute with one another, then A + B is likewi
Georgia Tech - MATH - 3770
Midterm 1 for Math 3225 Instructions: Work problems 1 through 5 in class; and then work problems 6 through 8 after class, and turn them in by next Wednesday. 1. Suppose A and B are sets, and : A B is a map. a. State what it means for to be injecti
Georgia Tech - MATH - 1502
Exercises on Rank and Inverse Matrix [1] Suppose that an 4 6 matrix A has rank 3. (a) Does Ax = 0 have no solution, innitely many solutions, or one solution? (b) True or False? Ax = b is always solvable for any vector b in R4 . (c) True or False? Ax
Georgia Tech - ECE - 2030
Suppose we wish to store the following information in the data memory in the order shown. Show a sequence of SPIM data directives that will correctly do so. the text string Enter a SPIM instruction reserve space for 4 words store an array of 16 by
Georgia Tech - ECE - 2030
ECE 2030 10:00am 4 problems, 5 pagesComputer Engineering Exam ThreeFall 2001 28 November 2001Instructions: This is a closed book, closed note exam. Calculators are not permitted. If you have a question, raise your hand and I will come to you. P
Georgia Tech - ECE - 2030
ECE 2030 G 5 problems, 6 pagesComputer Engineering Final ExamFall 2003 12 December 2003Instructions: This is a closed book, closed note exam. Calculators are not permitted. If you have a question, raise your hand and I will come to you. Please
Georgia Tech - ECE - 2030
Cascading CountersWhen cascading divide by N counters, it is necessary to modify the control of the Clear to prevent unwanted clears (e.g., 48,49,50,01,02 in a divide by 60 counter.) Suppose a divide by N counter is built using a binary counter (ca
Georgia Tech - ECE - 3710
ECE 3710 Concept Practice These are not sample test questions, rather they are simple exercises to build understanding of the basic concepts presented in class. If any of these present a problem, please seek help before the exam. 1) One of these circ
Georgia Tech - ECE - 3710
ECE 3710 Concept Practice Solutions If you miss nay of these and dont understand why, please save your solutions and see me ASAP. 1) One of these circuits does not match the others. Which one?Remember that nodes are not rigid. Two circuits are isom
Georgia Tech - ECE - 3710
ECE 3710: Circuits and Electronics Fall 2008 Section B VL C341W/F :205-2:55 http:/users.ece.gatech.edu/~oliver/3710Instructor Oliver Boudreaux Email: -see home pagePlease include ECE3710 in the subject or you may end up in my Junk folder Office H
Georgia Tech - ECE - 3710
Georgia Tech - ECE - 3710
Pittsburgh - AHS - 19
Celebrity Effects: How Famous Traders Impact the Financial MarketAhmad Shahidi November, 2007Abstract Imitation is one of those personal behaviors which have profound social and economical implications. It has been suggested that this phenomenon i
Pittsburgh - ECON - 280
University of Pittsburgh Economics 280Lecture Notes for Week 3Prof. Du y Fall 1999The human species, according to the best theory I can form of it, is composed of two distinct races, the men who borrow and the men who lend. To these two origina
Georgia Tech - MATH - 4032
Course: Math 4032 (Combinatorial Analysis) Spring 007Instructor : Prasad Tetali, oce: Skiles 126, email: tetali@math.gatech.edu Oce Hours: Mon, Wed. 11am noon; Thurs. 2:00 3:00pm Course Outline: Suggested Text books: (1) Extremal Combinatorics : w
Georgia Tech - MATH - 6221
Course: Math 6221 Advanced Classical Probability TheoryInstructor : Prasad Tetali, oce: Skiles 234, email: tetali@math.gatech.eduOce Hours: To be anounced (Fall 2005) Course Objective. This is a special course in probability designed and require
Georgia Tech - CS - 1050
Course: CS 1050 CInstructor : Prasad Tetali, oce: Skiles 126, email: tetali@math.gatech.edu Oce Hours: Wed. Fri. 4:30 5:30pm; Thurs. 2:00 3:00pm (tentative) Course Outline: Text book: Discrete Math with Applications (Second Edition, 1995), by Susa
Georgia Tech - MATH - 4348
ci n Appendix : GREEN'S FUNCTIONS IN R . The setting for this course is in an inner product space. Since the idea of an inner product, or dot product, arises in such a variety of problems, we should recall exactly what are the properties that define
Georgia Tech - MATH - 4022
Course Outline: Math 4022 Introduction to Graph TheoryInstructor : Prasad Tetali, office: Skiles 234, email: tetali@math.gatech.edu Office Hours: Mon. 1:30 3:00 pm, Thurs. Fri. 2:00 3:00 pm (tentative) Suggested Text books: (1) Introduction to Gr
Georgia Tech - MATH - 3012
Course Outline: 3012 T Applied Combinatorics (Classroom: Skiles 268, 4:35pm 5:55pm)Instructor : Prasad Tetali, oce: Skiles 234, email: tetali@math.gatech.edu Oce Hours: Mon. 1:30 3:00pm, Thurs. Fri. 2:003:00pm (tentative).PLEASE MAKE SURE THAT
Georgia Tech - MATH - 4032
Course: MATH 4032 Combinatorial Analysis (Spring07) Homework 3Instructor : Prasad Tetali, oce: Skiles 234, email: tetali@math.gatech.edu Oce Hours: Mon, Wed 11am noon, Thurs. 2:00 3:00pm Due: No need to turn in 1. Solve hn = 5hn1 6hn2 , for n 2
Georgia Tech - MATH - 1502
MATH 1502 SYLLABUS (Revised) SPRING 2005 Course Number: Course Name: Lecture Time: Lecture Room: Professor: Math 1502 C3, C4, C5 Calculus II MWF 10:0510:55 a.m. Ford Environmental Science and Technology Building, Room L1255 Dr. Christopher Heil Oce:
Georgia Tech - MATH - 1522
MATH 1522 SYLLABUS FALL 2005Course Number: Math 1522 C Course Name: Lecture Time: Lecture Room: Instructor: Linear Algebra for Calculus MWF 10:0510:55 a.m. Skiles 146 Dr. Christopher Heil Office: Skiles 260 Office Phone: (404) 894-9231 Email Addres
Georgia Tech - MATH - 6327
MATH 6327 SYLLABUS SUMMER 2005Course Number: Math 6327 A Course Name: Lecture Time: Lecture Room: Instructor: Real Analysis MWF 12:001:10 p.m. Skiles 243 Dr. Christopher Heil (1st half) and Dr. William Green (2nd half) Oces: Skiles 260 and Skiles 1
Georgia Tech - MATH - 6580
MATH 6580 SYLLABUS FALL 2002Course Number: Math 6580 Course Name: Lecture Time: Lecture Room: Instructor: Introduction to Hilbert Spaces MWF 10:0510:55 a.m. Skiles 256 Dr. Christopher Heil Oce: Skiles 260 Oce Phone: 404-894-9231 Email Address: heil
Georgia Tech - MATH - 2406
MATH 2406HOMEWORK #5DUE: December 1, 2004Work the following problems and hand in your solutions. You may work together with other people in the class, but you must each write up your solutions independently. A subset of these will be selected f
Georgia Tech - MATH - 6338
Georgia Tech - MATH - 6221
Course: Math 6221 Homework 2 (Fall 2005)Instructor : Prasad Tetali, office: Skiles 234, email: tetali@math.gatech.edu Office Hours: Mon. Tue. 11-12, Thurs. 2-3pm Due: Tuesday, Sept. 20th Problem 1 Let (, F, ) be a measure space. For measurable subs
Georgia Tech - CS - 1050
Course: CS 1050 C (Fall03) Homework 2Instructor : Prasad Tetali, oce: Skiles 126, email: tetali@math.gatech.edu Oce Hours: Wed. Fri. 4:305:30pm, Thurs. 2:003:00pm Due: next WednesdaySection 3.7: 10, 13, 22 Remark for 22: Note that you are not ask
Georgia Tech - CS - 3760
Course Information: CS 3760 Computer Organization Winter Quarter 1999 Instructor : Dr. Ann Chervenak (pronounced Shur-vu-nak) 218 College of Computing, Phone: 404-894-8591 annc@cc.gatech.edu Ofce Hours: Tu and Th immediately following class or by ap
Georgia Tech - CS - 6452
Welcome to CS6452!Keith Edwards keith@cc.gatech.eduSome PreliminariesNuts and Bolts This is the rst time this class has been taught This is the second required class in the HCC Ph.D. program Designed to ensure a basic level of compe
Georgia Tech - CS - 2335
C ourseOve w and the rvie &quot;Big Picture &quot;CS 2335 S pring 2005 Bob Wate rsAge ndainistrativeInfo Adm Big Picture I ntro to QualityAdm inistrativeData C We Page lass b Ne wsgroup Mandatory Re ading S yllabus / Te Books xt Grading (Pop Q
Georgia Tech - CS - 3911
Course Introduction and TeamworkCS 3911 Spring 2005 Bob Waters Santosh PandeAgenda Course Overview Syllabus Project Ideas Deliverables Friday, January 14 @ 5 PM Status Report #1 Project Selection Team Formation Lecture: Review of Tea
Georgia Tech - PHYSICS - 7224
Fixed points, and how to get them(F. Christiansen) Having set up the dynamical context, now we turn to the key and unavoidable piece of numerics in this subject; search for the solutions (x, T), x Rd , T R of the periodic orbit condition ft+T12
Georgia Tech - PHYSICS - 7224
Qualitative dynamics, for pedestriansThe classification of the constituents of a chaos, nothing less is here essayed. Herman Melville, Moby Dick, chapter 321010.1 Qualitative dynamics 10.2 Stretch and fold 10.3 Kneading theory 10.4 Markov graphs
Georgia Tech - PHYSICS - 7224
Qualitative dynamics, for cyclistsI.1. Introduction to conjugacy problems for diffeomorphisms. This is a survey article on the area of global analysis dened by differentiable dynamical systems or equivalently the action (differentiable) of a Lie gro
Georgia Tech - PHYSICS - 7224
OvertureIf I have seen less far than other men it is because I have stood behind giants. Edoardo Specchio11.1 Why ChaosBook? 1.2 Chaos ahead 1.3 The future as in a mirror 1.4 A game of pinball 1.5 Chaos for cyclists 1.6 Evolution 1 2 3 7 11 16 1.
Georgia Tech - PHYSICS - 7147
March 2004Notes on Quantum Field TheoryMark Srednicki UCSBNotes for the third quarter of a QFT course, introducing gauge theories. Please send any comments or corrections to mark@physics.ucsb.edu1Part III: Spin One54) 55) 56) 57) 58) 59) 6
Pittsburgh - SUPER - 7
807927.book Page 1 Wednesday, October 26, 2005 1:21 PMAmerican Bioethics after Nuremberg:Pragmatism, Politics, and Human RightsGeorge J. AnnasUniversity Lecture 2005BOSTON UNIVERSITY807927.book Page 2 Wednesday, October 26, 2005 1:21 PM 2
Pittsburgh - AES - 40
AMY ERICA SMITHUniversity of Pittsburgh, Department of Political Science 4600 Wesley W. Posvar Hall Ave. Baro do Rio Branco 3611 / 1403 Pittsburgh, PA 15260, USA Bairro Alto dos Passos www.pitt.edu/~aes40 Juiz de Fora MG 36021-630, Brazil amyerica
Pittsburgh - SUPER - 7
Nathan D. Wong, PhD, FACC American Heart Association 2001Get with the GuidelinesCVD and StrokeAHA / ASA's Program for Saving Lives Through Effective Implementation of Secondary Prevention GuidelinesAHA GOALSBy 2010, we will reduce coronary he
Pittsburgh - TEST - 2
0004|CLL|00000|HORSE OF YOUR OWN|N|1234567890|27.00|20.25|green.gif|red.gif|0004|CLL|00000|INVITATION TO RIDING|N|1234567890|N/A|N/A|green.gif|red.gif|0005|CLL|00000|PITTSBURGH THE STORY OF A CITY 1750 1865|N|1234567890|19.95|15.00|green.gif|red.gi
Georgia Tech - ETD - 07072008
DISTRIBUTED TASK ALLOCATION METHODOLOGIES FOR SOLVING THE INITIAL FORMATION PROBLEMA Thesis Presented to The Academic Faculty by Luis Antidio Viguria JimenezIn Partial Fulllment of the Requirements for the Degree Master of Science in Electrical a
Georgia Tech - ETD - 11242003
Wave Number Selection and Defect Dynamics in Patterns with Hexagonal SymmetryDenis B. Semwogerere 99 Pages Directed by Dr. Michael F. Schatz We report quantitative measurements of wave number selection, secondary instability and defect dynamics in
Georgia Tech - IPSTETD - 97
The Institute of Paper ChemistryAppleton, WisconsinDoctor's DissertationAn Investigation of the Sulfonic Acids Derived from Xylose and ArabinoseRichard Henry CordinglyJune, 1959AN INVESTIGATION OF THE SULFONIC ACIDS DERIVED FROM XYLOSE AND
Georgia Tech - ETD - 04062004
Georgia Tech - ETD - 06072004
Georgia Tech - IPSTETD - 171
Georgia Tech - SUBMITTED - 20080304
(I) Initial Data InputECMWF operational ensemble whr/climate forecastsNOAA &amp; NASA satellite &amp; precip. gauge data hydrol model parameters discharge data(II) Statistical Renderingdownscaling of forecasts statistical correction(III) Hydrologic
Georgia Tech - SLINGO - 02
Calibrated Brahmaputra+ Ganges Discharge Forecast: 6 months from June 1, 2003(based on 40 enssemble member ECMWF forecast)1.5 discharge climatology Discharge *10 (m /s)31 s g gensemble member mean +1 sd ensemble mean mean - 1 sd50.50 Num
Georgia Tech - SLINGO - 02
(i) LocationRanifall (mm/day)25 20 15 10 5 0 06/01(ii) 81 to 84% annual mean07/0108/0109/0110/0125 Ranifall (mm/day) 20 15 10 5(iiii) 98% to 102% annual meanRanifall (mm/day) 07/01 08/01 09/01 10/0125 20 15 10 5(iv) 116% to 119%
Georgia Tech - SLINGO - 02
20-day foreccast of Central India rainfall25 Rainfall (mm/day) 20 15 10 5 0 202003 (pentad)J F M A M J J A S O N D verification forecast climatology4060
Pittsburgh - JMB - 165
Stud. Hist. Phil. Biol. &amp; Biomed. Sci. 36 (2005) 303326Studies in History and Philosophy of Biological and Biomedical Scienceswww.elsevier.com/locate/shpscAdaptive speciation: the role of natural selection in mechanisms of geographic and non-ge
Pittsburgh - SUPER - 7
The Role of Information Technologies and Science in the Prevention of BioterrorismEugene Shubnikov, MD, Institute of Internal Medicine, Russia; Supercourse Team, Pittsburgh and the Rest of the worldNovosibirsk, Ebola Virus Laboratory, VectorStep
Georgia Tech - CS - 4001
Possible Term Paper Topics Your topic does not have to come from this list. These are suggestions. The brief comments and questions for each topic are just a few ideas to spark your imagination and get you started. Identification and biometrics. A co
Georgia Tech - CS - 4001
Name:_ TermPaperScoring: Content Istheclaimclear?Thesisstatement Aretheclaimanditssupportingargumentswellargued? Counterargumentsfairlypresentedandaddressed? Sufficientbackgroundtoexplainissuestotargetaudience? Sourcesquotedandcitedappropriately Mech
Georgia Tech - MATH - 4348
50 SECTION 2.5 AN UNDERSTANDING OF THE EQUATION L(y) = (x,t). By now you should believe that except for arithmetic details, you can work any of these problems. We have come to the place where we need to get this problem into perspective. We know that
Georgia Tech - MATH - 6635
COMPUTATIONAL FINANCE Chapter 2: Interpolation, Approximation and Extrapolation Whenever copious data are recorded and reported sooner or later the need arises to represent the data in terms of curves and surfaces. If the curves and surfaces pass thr