simulation

The goal is to treat a 1D array as a 2D grid. A second 1D array gives a list of values that need to be changed in the grid, and a third array indicates by how much. The catch is that the values surrounding a modified value is changed also. The example below stays as a 1D array, but makes calculations on it as if it was a 2D grid. It works; but currently it changes all values in the grid that match to a value in the 1D list (sample). I wan't to only convert 1 value and its surroundings, for 1 value in the list. i.e. If the list is [2,3]; I only want to change the first 2 and 3 value that comes

I've made a program that simulates movement of bodies in the solar system, however, I'm getting various inaccuracies in my results. I believe that it probably has something to do with my integration method. tl;dr there's a slight difference between the position and velocity of Earth between my simulation and NASA's data, if you could please look at my code below and tell me whether my math is wrong. The test I've ran is a 10 day long (864000 seconds) simulation, that starts at Thu Mar 13 18:30:59 2006 and ends at Thu Mar 23 18:30:59 2006 . After the simulation the program reported the

I have questions on the behavior I am seeing with applying Kalman Filter (KF) to the following forecast problem. I have included a simple code sample. Goal: I would like to know if KF is suitable for improving forecast/simulation result for a day ahead (at t+24 hours), using the measurement result obtained now (at t). The goal is to get the forecast as close to measurement as possible Assumption: We assume the measurement is perfect (ie. if we can get the forecast matches the measurement perfectly, we are happy). We have a single measurement variable (z, real wind speed), and a single