Question

In: Computer Science

Note: I need a code and other requirement Note: programming language is c++ If you need...

Note: I need a code and other requirement

Note: programming language is c++

If you need more information, please clarify what information you want.

consider solving the equation sin(x) - e^(-x) = 0 write a computer program to solve the given equation using:

1- bisection method

2- fixed-point method

3- newton's

intervals: {0,1},{1,2},{2,3},{3,4},{4,5},{5,6},{6,7},{7,8},{8,9},{9,10}

choose accuracy E = 10^(-5)

Make sure you document your program

Requirement :

1- Mathematical justification

2- algorithem description

3- code (program) with documentation

4-output: roots , number of iteration

Help:

for fixed-point: ln e^(-x) = ln( sin(x) )

-x = ln(sin(x))   

sin(x) > 0

ln(a\b) = ln(a) - ln(b)

x = ln (1 \ sin θ )

f(0) = -ve

f(1) = sin(1) - e^(-1) = +ve

f(0).f(1) < 0

f(1) = +ve

f(2) = +ve

Solutions

Expert Solution

#include<iostream>
#include <iomanip>
#include<Math.h>
using namespace std;
double E = 0.00010;    //accuracy E is set to 10^(-5)
double f(double x) //declear the function sin(x) - e^(-x) = 0
{
   // take the value of x
return sin(x)-exp(-x);
// retruns the value of the function by calculating x
}
double df(double x)            //declear the differentiation function of sin(x) - e^(-x) = 0
{
   // take the value of x
return cos(x)+exp(-x);
// retruns the value of the function by calculating x
}
/* Implementing Bisection method */
void Bisection(double a, double b)
{
   /*parameters
   a = staring point of the interval
   b = ending point of the interval
   */
if (f(a) * f(b) >= 0)            // checks weather the interval is right or wrong
{
cout << "You have not assumed right a and b\n";
return;
}
  
double c = a;
while ((b-a) >= E)
{
// Find middle point
c = (a+b)/2;
  
// Check if middle point is root
if (f(c) == 0.0)
break;
  
// Decide the side to repeat the steps
else if (f(c)*f(a) < 0)
b = c;
else
a = c;
}
cout << "The value of root is : " << c;
}
/* Implementing Fixed Point Iteration */
void FixedPoint(double x0, int step)
{
   /*parameters
   x0 = staring point
   step = maximum number of iterations
   */
   double x1;
   int i=1;
   do
   {
       x1 = df(x0);
       // print each iteration with values
       cout<<"Iteration "<<i<<":\t x1 = "<< setw(10)<< x1<<" and f(x1) = "<< setw(10)<< f(x1)<< endl;
       i++;
       if(i>step)            // checks the maximum steps
       {
           cout<<"Not Convergent.";
           exit(0);
       }
       x0 = x1;

   }while(fabs(f(x1)) < E);

   cout<< endl<<"Root is "<< x1;
}
void NewtonRaphson(double x)
{
   /*parameters
   x : starting point
   */
double h = f(x) / df(x);
while (abs(h) >= E)
{
h = f(x)/df(x);
x = x - h;
}
  
cout << "The value of the root is : " << x;
}
int main()
{
   // you need to call each function with values
}

you find Mathematical justification here

Bisection : https://en.wikipedia.org/wiki/Bisection_method

Fixed point : https://en.wikipedia.org/wiki/Fixed-point_iteration

Newton : https://en.wikipedia.org/wiki/Newton%27s_method

algorithms

Bisection:

INPUT: Function f,

       endpoint values a, b,

       tolerance TOL,

       maximum iterations NMAX

CONDITIONS: a < b,

            either f(a) < 0 and f(b) > 0 or f(a) > 0 and f(b) < 0

OUTPUT: value which differs from a root of f(x) = 0 by less than TOL

N ? 1

while N = NMAX do // limit iterations to prevent infinite loop

    c ? (a + b)/2 // new midpoint

    if f(c) = 0 or (b – a)/2 < TOL then // solution found

        Output(c)

        Stop

    end if

    N ? N + 1 // increment step counter

    if sign(f(c)) = sign(f(a)) then a ? c else b ? c // new interval

end while

Output("Method failed.") // max number of steps exceeded

Fixed point

Given an equation f(x) = 0
Convert f(x) = 0 into the form x = g(x)
Let the initial guess be x0
Do
       xi+1= g(xi)
while (none of the convergence criterion C1 or C2 is met

Newton:

  1. Start
  2. Read x, e, n, d
    *x is the initial guess
    e is the absolute error i.e the desired degree of accuracy
    n is for operating loop
    d is for checking slope*
  3. Do for i =1 to n in step of 2
  4. f = f(x)
  5. f1 = f'(x)
  6. If ( [f1] < d), then display too small slope and goto 11.
    *[ ] is used as modulus sign*
  7. x1 = x – f/f1
  8. If ( [(x1 – x)/x1] < e ), the display the root as x1 and goto 11.
    *[ ] is used as modulus sign*
  9. x = x1 and end loop
  10. Display method does not converge due to oscillation.
  11. Sto

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