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  1. 5 dni temu · Compute the integral of f over A. I am having trouble understanding how the absolute values behave here, my approach was setting this as a change of variable since the region A is a double elliptical paraboloid ϕ(r, θ, z) = (r cos(θ), r sin(θ)/2, z) and the determinant of the jacobian is r/2.

  2. 2 dni temu · currentvalueone = data[i][0] currentvaluetwo = data[i][1] #this is the ratio between the two current features it describes the realtionship between the two features: currentmultiplier = currentvalueone / currentvaluetwo. #store ratios in array. multipliers[i] = currentmultiplier. percentiles[i] = np.percentile(multipliers, (i)*1)

  3. 4 dni temu · $\begingroup$ Not a Matlab or Julia expert, but the advantages that I see in Python are: 1) Vectorization (whether it's Numpy, some Pandas operations or even other packages that have optimized array methods that do not require the coder to utilize loops) 2) Quite easy to learn. $\endgroup$

  4. 4 dni temu · A Matlab Toolkit for Macroeconomic Models using Value Function Iteration. Automatically parallelizes on CPUs and GPU. Includes commands for simulating time series and stationary distributions, and on evaluating moments of these. For more information, including examples and documentation, see vfitoolkit.com.

  5. 5 dni temu · Example: Python3 1== # Python program to illustrate . # nested functions . def outerFunction(text): . text = text . . def innerFunction(): . print(text) . .

  6. 4 dni temu · Create functions in MATLAB and Python. Implement various numerical analysis techniques, such as regression, interpolation, differentiation, and integration. Use Python objects including strings, lists, tuples, and loops.

  7. 2 dni temu · In this explainer, we will learn how to find the absolute maximum and minimum values of a function over a given interval using derivatives.

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