Second Order Numerical Integration w/ Neumann Boundary Conditions

In summary, The person is asking for help with running a numeric integration for a nonlinear second order ODE with Neumann B.C. They have started programming Runge Kutta 4 but are stuck without a boundary condition. They are looking for guidance or a text that discusses this problem and recommend checking the Numerical Recipe website for older versions of the book in pdf format.
  • #1
a2009
25
0
I hope this is the right place to post this question.

I'm trying to figure out how to run a numeric integration for a nonlinear second order ODE with Neumann B.C.

I've started programming up Runge Kutta 4, but clearly without a boundary condition on the function, but only on its derivative I'm stuck.

If anyone could point me in the right direction, or refer me to a text that discusses this problem I'd really appreciate it.
 
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  • #2
I can add more to this later. But for now check the Numerical Recipe website. www.nr.com Check in the section that has the older versions of the book in pdf format.
 

1. What is second order numerical integration?

Second order numerical integration is a method for approximating the definite integral of a function using numerical techniques. It involves dividing the interval of integration into smaller subintervals and using a second order polynomial to approximate the curve of the function within each subinterval.

2. How is second order numerical integration used in practice?

Second order numerical integration is commonly used in scientific and engineering fields where precise calculations of integrals are needed. It is particularly useful for solving differential equations and other complex mathematical problems.

3. What are Neumann boundary conditions?

Neumann boundary conditions are a type of boundary condition used in mathematical models where the value of the derivative of a function is specified at the boundary. This means that the slope or rate of change of the function is known at the boundary.

4. Why are Neumann boundary conditions important in second order numerical integration?

Neumann boundary conditions are important in second order numerical integration because they provide additional information about the behavior of the function at the boundary. This can improve the accuracy of the numerical integration by allowing for a more precise approximation of the curve at the boundary.

5. What are some common methods for implementing second order numerical integration with Neumann boundary conditions?

Some common methods for implementing second order numerical integration with Neumann boundary conditions include the trapezoidal rule, Simpson's rule, and the midpoint rule. These methods involve using a combination of the function values and their derivatives at specific points within each subinterval to approximate the integral.

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