Numerical solution of partial differential equations

In summary, an analytical solution of partial differential equations can be solved exactly using mathematical equations, while a numerical solution uses numerical methods to approximate the solution. Commonly used methods for numerical solutions include finite difference, finite element, and spectral methods. The accuracy of a numerical solution can be determined by comparing it to an exact analytical solution or by varying the grid size and step size. Numerical solutions are commonly used in real-world applications, but their accuracy depends on the chosen method and grid size. They may also be affected by numerical and round-off errors.
  • #1
nbann5000
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can anyone direct me to a website that gives adequate treatment of the numerical solution of partial differential equations, especially pertaining to problems which involve the use of the Crank-Nicolsen procedure?
 
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nbann5000 said:
can anyone direct me to a website that gives adequate treatment of the numerical solution of partial differential equations, especially pertaining to problems which involve the use of the Crank-Nicolsen procedure?
Applied Numerical Methods, Luther, Carnahan, and Wilkes
 

1. What is the difference between an analytical solution and a numerical solution of partial differential equations?

An analytical solution is a closed-form solution that can be expressed using mathematical equations and can be solved exactly. On the other hand, a numerical solution uses numerical methods to approximate the solution to a partial differential equation. This is necessary for complex equations where an analytical solution is not possible.

2. What are some common numerical methods used for solving partial differential equations?

Some commonly used numerical methods for solving partial differential equations include finite difference methods, finite element methods, and spectral methods. Each method has its own advantages and is suitable for different types of equations and boundary conditions.

3. How do you determine the accuracy of a numerical solution for a partial differential equation?

The accuracy of a numerical solution for a partial differential equation can be determined by comparing it to the exact analytical solution, if available. Otherwise, the solution can be compared to results obtained using a finer grid or by varying the step size in the numerical method. A lower error indicates a more accurate solution.

4. Can numerical solutions of partial differential equations be used for real-world applications?

Yes, numerical solutions of partial differential equations are commonly used for real-world applications in many fields such as engineering, physics, and finance. They provide a practical and efficient way to solve complex equations and can be used to model and predict real-world phenomena.

5. Are there any limitations to numerical solutions of partial differential equations?

Yes, there are some limitations to numerical solutions of partial differential equations. The accuracy of the solution depends on the chosen numerical method and grid size, and it may not always be possible to obtain an accurate solution in a reasonable amount of time. Additionally, the solution may also be affected by numerical errors and round-off errors.

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