Question: The problem is furthermore normalized such that an approximation error of e 1 for a discretization size Delta x = 1 is obtained. You

The problem is furthermore normalized such that an approximation error of e1 for a discretization size \Delta x=1 is obtained. You may assume you are using a computer with a 64-bit processor, for which you can expect a floating point accuracy 1016.
If we choose \lambda =0.01. What is the expected error when computing (d^2 u)/(x^2) for the above discretization? [ans1]
Subsequently, you perform a mesh convergence study, and hence you refine the grid resolution. What is the smallest value of \Delta x you can afford before you encounter errors when computing due to the machine precision? [ans2]
Having performed the tests for the one-dimensional problem, you decide to perform the simulations on a three-dimensional problem with \lambda =0.01 for a domain of unit size in each dimension and periodic boundary conditions, and 5 seconds of physical simulation time are needed for the problem. Considering an 800 MFLOPS (mega floating point operations per second) computational power and that each discretization point requires 5 floating-point operations per time step, what is the total run time for the simulation, to the nearest hour? [ans3]

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