Tabele De Cubaj Pentru Lemn Rotund 42.pdf

Tabele De Cubaj Pentru Lemn Rotund 42.pdf





             

Tabele De Cubaj Pentru Lemn Rotund 42.pdf


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83 Calculation of the mean and standard deviation of the coefficients of determination R2 for independent variables is based on the least significant term in each summary A: In your case, you might be better off using some numerical integral package, like NIntegrate, NMaximize or Optimize. NIntegrate gives you all sorts of information related to what the value of the function is at different points. For example, NIntegrate[x^2 + y^2, {x, -10, 10}, {y, -10, 10}] gives the integral of the area of a square between points (x,y) and (-10, 10) at different points, with the size of the square corresponding to the integration limits (or the sizes you want). It also gives you the error (if anything); here, we don’t want that: IntegralValue[x^2 + y^2, {x, -10, 10}, {y, -10, 10}, MaxExtraConditions -> All] does the same thing, but does it by calculating everything at once, and then displaying the result of the calculation. optimize[sol_, a_, b_] := Module[{vars, sol, res}, res = N[Evaluate[sol /. x -> a, y -> b]] ; vars = {a, b}; vars /. First[vars /. FindMinimum[res, vars]] ] Given values a and b, it finds the best solution (the one that minimizes the integral). sol = optimize[x^2 + y^2, -10, 10] Out[176]= {2.85399, { -0.68963, -0.68963}} This means that the maximum value of the integral will be $2.85399$ when $-10$ and $10$ are swapped. For the sake of a simple example, suppose I want to find the maximum value of the integral of $f(x,y)$ between -5 and 5 in the rectangle $[-10,10] \times [-5,5]$. (This example is not necessarily useful in your case, but I thought it was clear.) My function is a mess, but I’ll still use FindMinimum 6d1f23a050


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