How do I program romberg integration in Fortran 90?

In summary, numerical integration is a method used to approximate the definite integral of a function by dividing the area under the curve into smaller shapes and calculating their areas. It is used when an exact analytical solution is not possible or practical. Different methods, such as the trapezoidal rule and Simpson's rule, have their own advantages and can be used to achieve a desired level of accuracy. The accuracy of a method can be determined by comparing it to an exact solution. Numerical integration has many applications in fields such as physics, engineering, economics, and statistics.
  • #1
alphy
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Does anyone have a program for numerical integration in fortran??
 
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  • #2
The site Numerical Recipes has many different programs for integration, in Fortran and C.

You learned a quick method when you learned integration. Simply code the rectangular approximation and you have a numerical method.
 
  • #3
hello...i m still confused on how to go about programming romberg integration in fortran 90..help.....
 

1. What is numerical integration?

Numerical integration is a method used to approximate the definite integral of a function. It involves dividing the area under the curve into smaller, simpler shapes and calculating the sum of their areas to get an estimate of the integral.

2. Why do we use numerical integration?

Numerical integration is used when it is not possible or practical to find the exact analytical solution to a definite integral. It allows us to approximate the integral with a desired level of accuracy.

3. What are the different methods of numerical integration?

There are several methods of numerical integration, including the trapezoidal rule, Simpson's rule, and Gaussian quadrature. Each method has its own advantages and is suitable for different types of functions.

4. How do you determine the accuracy of a numerical integration method?

The accuracy of a numerical integration method can be determined by comparing the result obtained from the method to the exact analytical solution, if it exists. The smaller the difference between the two, the more accurate the method is.

5. What are the applications of numerical integration?

Numerical integration has many applications in various fields, including physics, engineering, economics, and statistics. It is used to solve problems involving integration, such as calculating areas, volumes, and probabilities.

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