Engineering Problem Solving with C++, Etter/Ingber

Engineering Problem Solving with C++, Etter/Ingber

Chapter 10

Additional Topics in Programming with Classes

Engineering Problem Solving with C++, Second Edition. J. Ingber

1

Programming with Classes

Introduction to Generic Programming Recursion Class Templates Inheritance virtual Methods


2

INTRODUCTION TO GENERIC PROGRAMMING

function templates

overloading operators

friend functions


3

Generic Programming

Generic programming supports the implementation of a type independent algorithm.

Type independent algorithms can be defined in C++ using the keyword template, and at least one parameter.

The compiler generates a unique instance of the template for each specified type.


4

Function Templates A function template is a parameterized function definition.

Syntax:template<typename identifier [,typename identifier,…] >

return-type function name(parameter list)

{ …}

Example:template<typename Dtype>

void swapTwo(Dtype& a, Dtype& b)

{

Dtype temp = a;

a = b;

b = temp;

}


5

Instantiating TemplatesExample:template<typename Dtype& a, Dtype& b>

void swapTwo(Dtype& a, Dtype& b); //prototype

…

int main()

{

double x(1.0), y(5.7);

char ch1('n'), ch2('o');

swapTwo(x,y);

swapTwo(ch1, ch2);

cout << x << ',' << y << endl

<< ch1 << ch2 << endl;

...


6

Output:5.7, 1.0on


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Overloading Operators

Allows a programmer defined data type to be used in the same way that a predefined data type is used.

Definitions for overloaded operators are included in the class definition.– keyword operator is used followed by the operator.– the operator must be one of the predefined C++

operators.– Only predefined operators may be overloaded.

All predefined operators except( . :: .* ?: sizeof) may be overloaded.


8

Complex Number Class

A complex number is a number that has two components; the real component and the imaginary component.

a + biArithmetic is defined as follows:

(a + bi) + (c + di) = (a + c) + (b + d)i

(a + bi) - (c + di) = (a - c) + (b - d)i

(a + bi) * (c + di) = (ac - bd) + (ad + bc)i

(a + bi) / (c + di) = (ac + bd) / (c**2+d**2) +

[ (bc -ad) /(c**2+d**2)]i


9

Class Declarationclass complex{ public:

complex();complex(double,double);void print(ostream&);void input(istream&);complex operator+(complex) const;complex operator-(complex) const;complex operator*(complex) const;complex operator/(complex) const;

private:double real, imag;

};


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Implementation - constructors

complex::complex(){ //default constructor real=imag=0;}

complex :: complex(double r, double im){ real = r;

imag = im;}


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Implementation – Overloaded Operators

complex complex::operator+(complex c) const{ complex temp; temp.real = real + c.real; temp.imag = imag + c.imag; return temp;}


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Implementation - Continued

complex complex::operator/(complex c) const{ complex temp; temp.real = (real*c.real + imag*c.imag)/

( pow(c.real,2) + pow(imag,2) ); temp.imag = (imag*c.real - real*c.imag)/

( pow(c.real,2) + pow(imag,2) ); return temp;}


13

Practice! – Implement the * operator(a + bi) * (c + di) = (ac - bd) + (ad + bc)i

complex complex::operator*(complex c) const{ complex temp; temp.real = real*c.real – imag*c.imag; temp.imag = real*c.imag + imag*c.real; return temp;}


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Test Program complex c1, c2, c3; //declare three complex variablesc1.input(cin);c2.input(cin);

//test addition c3 = c1 + c2; // using overloaded operator + cout << endl << "c1 + c2 is "; c3.print(cout);

//test divisionc3 = c1 / c2; // using overloaded operator /cout << endl << "c1 / c2 is ";c3.print(cout);cout << endl;


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Sample Output

Using the following input:

4.4 1.53.5 -2.5

The expected output from our test program will be:

c1 + c2 is 7.9 + -1ic1 / c2 is 0.62973 + 0.878378i


16

Variations

Overloading Operators as:– member functions – friend functions – top level functions


17

Member Functions

binary operators (ie +,-, * )– member function requires one argument– the left hand operand is the object invoking the operator

unary operator– member function requires no arguments– assumed to be prefix version of operators ++ and –– postfix versions of operators ++ and – are not covered

in this text Disadvantages

– first argument must be an object of the class


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Example – class complex

In complex.h– complex operator +(complex c);

operator + implemented in complex.cpp In a client program

complex a, b, c;c = a + b; //a is calling object, b is argumentc = a + 54.3; //OK, constructor is called to

// convert 54.3 to complex object

c = 54.3 + a // is not allowed


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Friend Functions binary operators

– friend function requires two arguments unary operator

– friend function requires one argument Disadvantage

– A friend function is NOT a member function – Friend functions violate a strict interpretation of

object oriented principals (implementation is hidden)– Recommended for operator overloading only


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Example: In class definition:

friend complex operator +(complex c1, complex c2); In class implementation:

complex operator +(complex c1, complex c2){ complex temp; temp.real = c1.real + c2.real; temp.imag = c1.imag + c2.imag; return temp;}

In client program:complex cA, cB, cC;cC = cA+cB;cC = 54.3 + cB; //this is ok, when + is a friend function


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Class Declarationclass complex{ public: complex(); complex(double,double); friend ostream& operator <<(ostream&, complex); friend istream& operator >>(istream&, complex&); complex operator+(complex) const; complex operator-(complex) const; complex operator*(complex) const; complex operator/(complex) const; private: double real, imag;};


22

Implementation

ostream& operator <<(ostream& os, complex r){ os << r.real << “ + “ << r.imag << ‘i’;

return os;}

istream& operator >> (istream& is, complex& r){ is >> r.real >> r.imag;

return is;}


23

Error Checking on input operatorIf your input fails because of incorrect format, your function should mark the state of the istream as bad

is.clear(ios::badbit | is.rdstate() )

clear resets entire error state to zero

clear(ios::badbit) clears all and sets badbit

is.rdstate() returns the previous state of all bits

Statement sets the bit vector to the OR of badbit with previous state


24

Top Level Functions

binary operators– top level function requires two arguments

unary operator– top level function requires one argument

Disadvantage:– Top level functions do not have access to

private data members. Function must use accessor functions.


25

Example of top level function

Function prototype in client program.complex operator +(complex c1, complex c2);

Implemention in client program.complex operator +(complex c1, complex c2){ return complex(c1.get_real() + c2.get_real(),

c1.get_imag() + c2.get_imag());}

Use in client program.complex cA, cB, cC;cC = cA + cB;cC = 54.3 + cA; //this is ok, when + is a top level

//function

RECURSION

factorial function

binary trees


26

Recursion Recursion is a powerful tool for solving certain

classes of problems where:– the problem solution can be expressed in terms of the

solution to a similar, yet smaller problem.

Redefinition of the problem continues in an iterative nature until:– a unique solution to a small version of the problem is

found.

This unique solution is then used, in a reverse iterative nature until:– the solution to the original problem is returned.


27

Recursion Programming languages that support recursion

allow functions to call themselves. Each time a function calls itself, the function is

making a recursive function call. Each time a function calls itself recursively,

information is pushed onto the runtime stack. Each time a recursive function calls returns,

information is popped off the stack. The return value, along with the information on the stack, is used to solve the next iteration of the problem


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Recursive Functions

A recursive function requires two blocks:– a block that defines a terminating condition, or

return point, where a unique solution to a smaller version of the problem is returned.

– a recursive block that reduces the problem solution to a similar but smaller version of the problem.


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Example: Recursive Definition of Factorial Function


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}1:)1(*,0:1{!)( nnfnnnnf

f(0) = 1 Unique solution.f(n) = n*f(n-1) Recursive definition.Thus, f(n) can be determined for all integer values of n>=0;

Recursive Factorial Function long factorialR(int n)

{

/*Termination condition */

if(n==0)

{

return 1; //unique solution

}

/*Recursive block – reduce problem */

return n*factorialR(n-1);

}


31

32

• A binary tree maintains two links between nodes.

• The links are referred to as the left child and the right child.

• The first node is called the root.

• Each child(left and right) may serve as the root to a subtree.

• A node without children is referred to as a leaf node.

Binary Tree Abstraction

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Diagram

+

2

8

4

*

pointer to root

leaf node leaf node

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• A BinaryTree class with one attribute:

a pointer (node*) to the root of a binary tree.

Implementation

35

Methods:

insert()

delete()

print()

inOrder(), preOrder(), postOrder()

Implementation of insert:

Insert into empty BinaryTree establishes the root.

Each subsequent node is inserted in order:

values less than root are placed in the root’s left subtree

values greater than root are placed in the root’s right subtree

BinaryTree class

36

display node

visit left child

visit right child

*+248

preOrder Traverse

37

visit left child

visit right child

display node

24+8*

postOrder Traverse

38

Visit left child

Display node

Visit right child

2+4*8

inOrder Traverse

BinaryTree Class Recursive Methods:

– print(), insert(), clear()

Recursive methods are overloaded. public version is non-recursive. public version is called once. public version calls private recursive

version. Recursive version calls itself.

CLASS TEMPLATESbinary tree


40

class Templates

A binary tree is an ordered collection of nodes. Each node has a data value, a right child and a

left child. The data type of the right and left child is node*.

The data type of the node value is parameterized to form a class template.

The binary tree template also parameterizes the node type..


41

42

#include "node.h"

template<typename T>class BinaryTree {public:

BinaryTree():root(0){} //inline

bool empty(){return root==0;} //inline

void clear(){ if(root) {clear(root); root=0;} } //inline, non recursive

void insert(const T& );

//…

private:

void clear(node<T>*); //recursive node<T>* root; //node is a class template};

BinaryTree Declaration

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//cleartemplate<typename T> void BinaryTree<T>::clear(node<T> *pt) //method called from private clear() { if(pt){ clear(pt->getLeft()); clear(pt->getRight()); delete pt;} }

//inserttemplate<typename T> void BinaryTree<T>::insert(const T& value) { if(!root) root = new node<T> (value); //must qualify else root->insertValue(value); //member of node }

Implementation of BinaryTree class

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template<typename valType> void node<valType>::insertValue(const valType& val){ if(val < data){ if(!left) left=new node(val); //don’t need to quality else left->insertValue(val); } else { if(!right) right = new node(val); else right->insertValue(val); } }

insertValue: member of node class

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int main(){ BinaryTree<int> tree; if(tree.empty()) cout << "empty" << endl; tree.insert(10); if(tree.empty()) cout << "empty" << endl; else cout << "not empty\n"; tree.clear(); if(tree.empty()) cout << "empty" << endl; else cout << "not empty\n"; return 0;}

output:

emptynot emptyempty

Sample Run

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Suggestions for Writing templates

• Get a non-template version working first.

• Establish a good set of test cases.

• Measure performance and tune.

• Review implementation:• Which types should be parameterized?

• Convert non-parameterized version into template.

• Test template against established test cases.

INHERITANCE


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48

Inheritance

Inheritance is a means by which one class acquires the properties--both attributes and methods--of another class.

When this occurs, the class being inherited from is called the base class.

The class that inherits is called the derived class.


49

C++ and Public Inheritance

The private members of a base class are only accessible to the base class methods.

The public members of the base class, are accessible to the derived class and to clients of the derived class.

The protected members of the base class, are accessible to members of the derived class, but are not accessible to clients of the base class or clients of the derived class.


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UML Inheritance Diagram:

•A Rectangle has a Point.•Square is a Rectangle.


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Example – Base Class Definitionclass Rectangle{

private:double width, height;Point origin;

public:Rectangle();Rectangle(double w, double h, double x, double y); //Accessors//Mutators

};


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Example: Derived Class

class Square : public Rectangle {

public:Square();Square(const Point&, double s);double getSide() const;void setSide(double);

};


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Constructors and Inheritance

When an object is created, its constructor is called to build and initialize the attributes.

With inheritance, the invocation of constructors starts with the most base class at the root of the class hierarchy and moves down the path to the derived classes constructor.

If a class is to use the parameterized constructor of a base class, it must explicitly invoke it.


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Implementation of Constructor

Rectangle::Rectangle(double w, double h, double x, double y) : origin(x,y){}

Square::Square(const Point&p, double side) : Rectangle(side,side)

{}

VIRTUAL METHODS


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Methods All methods are, by default, non-virtual methods.

Binding of method call is determined by static type of calling object.

Example:Rectangle r1;

Square s1;

r1 = s1;

r1.print(cout);//Calls print() defined in

//Rectangle


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virtual Methods

If a method is defined to be virtual, and pointers or references to objects are used, then dynamic binding is supported.

Example:Rectangle *rPtr;

Point p2;

Square s1 = s1(p2,5);

rPtr = &s1;

rPtr->print(cout);//Calls print() defined in

//Square


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Engineering Problem Solving with C++, Etter/Ingber

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