Category Archives: NumPy and SciPy

Tanh-Sinh Quadrature via F2PY – Part 2

Lets look at some details of the coding. The original code (available here) includes routines “intdeini” to generate an array of points and weights of the quadrature formula, and “intde” to carry out the integration of any supplied function “f”. … Continue reading

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Tanh-Sinh Quadrature via F2PY

Fast and accurate numerical integration routines based on the Tanh-Sinh method are available as Excel VBA based functions in the Tanh_Sinh Quadrature spreadsheet by Graeme Dennes.  Graeme’s VBA code is based on open source Fortran code by Takuya Ooura, which … Continue reading

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Running Fortran from Python with F2PY

The last post looking at using the Python F2Py package said: It is also necessary to install a Fortran compiler.  After some trial and error I found that the MinGW (Minimalist GNU for Windows) package worked well. Trying some simple examples … Continue reading

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xlSciPy – Python SciPy for Excel; Update with new functions

The xlSciPy spreadsheet, previously described here, has been updated with new functions for integration, finding equation roots and maxima and minima, solving systems of non-linear equations, and evaluation of equations entered as text.  The new version (including full open-source VBA … Continue reading

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Solving non-linear equations with two or more unknowns – 5

This will be the last of the series on solving non-linear equations (for now).  Up until now all the examples have had two unknown values, and two target values.  This can be extended by making three changes to the code: … Continue reading

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