Double Data Type
In C programming, the double data type is used to represent double-precision floating-point numbers. It provides extended precision and a wider range of values compared to the float data type, making it suitable for applications that require higher accuracy and precision in numerical computations.
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The double data type is commonly used in scientific calculations, engineering simulations, financial modeling, and other domains that demand higher accuracy and precision in numerical computations.
#include
int main() {
double pi = 3.141592653589793;
double radius = 2.5;
double area = pi * radius * radius;
printf("The area of the circle is: %f\n", area);
return 0;
}
In the above example, we declare three double variables: pi, radius, and area.
The pi variable stores the value of pi with extended precision, the radius variable stores the radius of a circle, and the area variable stores the calculated area of the circle.
The printf statement is used to print the value of the area variable using the %f format specifier.
The double data type provides extended precision and a wider range of values compared to the float data type.
#include
int main() {
double x = 10.5;
double y = 2.75;
double sum = x + y;
double difference = x - y;
double product = x * y;
double quotient = x / y;
printf("Sum: %f\n", sum);
printf("Difference: %f\n", difference);
printf("Product: %f\n", product);
printf("Quotient: %f\n", quotient);
return 0;
}
In this example, we perform various arithmetic operations using double variables. The variables x and y store the values 10.5 and 2.75, respectively. The sum variable stores the result of x + y, the difference variable stores the result of x - y, the product variable stores the result of x * y, and the quotient variable stores the result of x / y.
The double data type typically occupies 8 bytes and provides approximately 15 decimal digits of precision. It offers a significantly larger range of values compared to the float data type, allowing for higher accuracy in numerical computations. If you require even higher precision, you can use the long double data type, which offers further extended precision at the expense of increased memory usage.