Traditional numerical methods like the Finite Difference Method or Finite Element Method solve PDEs by discretizing the domain into a grid or mesh. They approximate the solution \(u(x)\) by finding its values at these specific, discrete points.

For example, the Finite Difference method approximates the second derivative:

\[\frac{d^2u}{dx^2} \approx \frac{u_{i+1} - 2u_i + u_{i-1}}{h^2}\]

This transforms the differential equation into a system of algebraic equations for the values \(u_i\) at grid points \(x_i\). The result is a discrete representation of the solution.

 
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