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write a program to find the area under the curve y=f(x) between x=a and x=b,integrate y=f(x) between the limits of a and b.
#include float start_point, /* GLOBAL VARIABLES */ end_point, total_area; int numtraps; main( ) { void input(void ); float find_area(float a,float b,int n); /* prototype */ print(“AREA UNDER A CURVE”); input( ); total_area = find_area(start_point, end_point, numtraps); printf(“TOTAL AREA = %f”, total_area); } void input(void ) { printf(“\n Enter lower limit:”); scanf(“%f”, &start_point); printf(“Enter upper limit:”); scanf(“%f”, &end_point); printf(“Enter number of trapezoids:”); scanf(“%d”, &numtraps); } float find_area(float a, float b, int n) { float base , lower, h1, h2; /* LOCAL VARIABLES */ float function_x(float x); /* prototype */ float trap_area(float h1,float h2,float base );/*prototype*/ base = (b-1)/n; lower = a; for (lower =a; lower <= b-base ; lower = lower + base ) { h1 = function_x(lower); h1 = function_x(lower + base ); total_area += trap_area(h1, h2, base ); } return (total_area); float trap_area(float height_1,float height_2,float base ) { float area; /* LOCAL VARIABLE */ area = 0.5 * (height_1 + height_2) * base ; return (area); } float function_x(float x) { /* F(X) = X * X + 1 */ return (x*x + 1); } Output AREA UNDER A CURVE Enter lower limit: 0 Enter upper limit: 3 Enter number of trapezoids: 30 TOTAL AREA = 12.005000 AREA UNDER A CURVE Enter lower limit: 0 Enter upper limit: 3 Enter number of trapezoids: 100 TOTAL AREA = 12.000438
How marketing strategies are changed along with the progress in computing? How latest marketing strategies are implemented? Marketing Strategy Changes along with the latest req
Draw an inheritance hierarchy to represent a shoe object. The base class should have derived classes of Dress Shoes, Tennis Shoes and Boots.
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Describe advantage of the event-delegation model over the earlier event-inheritance model ?
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Can you help? this assignment I will need to build a very straightforward and fully functional machine learning classifier with the K-Nearest Neighbor (KNN) algorithm. The KNN mode
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public class TreeTest { public static void main(String args[]) { Tree t = new Tree (); System.out.println("Populating"); t.insertItem(1); t
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