Tag Archives: SciPy

Installing PyPardiso

Posted on October 24, 2021 by dougaj4

The PyPardiso package provides an interface to the Intel MKL Pardiso library to solve large sparse linear systems of equations. Trying to install this package with Conda raises the message: To search for alternate channels that may provide the conda package you’relooking … Continue reading →

Posted in Excel, Finite Element Analysis, Frame Analysis, Link to Python, Newton, NumPy and SciPy, PyXLL, UDFs | Tagged , , , , , , | Leave a comment

Making Finite Element Analysis go faster – Update and PyPardiso

Posted on October 17, 2021 by dougaj4

The previous post on this topic looked at the performance of alternative Scipy sparse equation solvers. This post updates those results with the current Scipy version (1.7.1), with very different results. It also compares the Scipy solver performance with the … Continue reading →

Posted in Arrays, Excel, Finite Element Analysis, Frame Analysis, Link to Python, Newton, NumPy and SciPy, PyXLL | Tagged , , , , , , | 1 Comment

Making Finite Element Analysis go faster …

Posted on June 27, 2021 by dougaj4

… with Numba and Scipy sparse matrix functions. As promised in the previous post in this series, I will be looking at speeding up the formation and solving of matrix functions for the analysis of structural frames, using Excel and … Continue reading →

Posted in Arrays, Excel, Finite Element Analysis, Frame Analysis, Link to Python, NumPy and SciPy, PyXLL | Tagged , , , , , , , , | 2 Comments

Using Python optional arguments from Excel with pyxll

Posted on January 14, 2021 by dougaj4

Python functions allow optional arguments to be specified by allocating a default value to each optional argument. The pyxll add-in allows Python functions called from Excel to work in the same way, so any argument with a default value may … Continue reading →

Posted in Excel, Link to Python, PyXLL, UDFs | Tagged , , , , , , | 1 Comment

Multiple Integration with Scipy

Posted on January 31, 2019 by dougaj4

Scipy has 3 functions for multiple numerical integration in the scipy.integrate module: dblquad: Compute a double integral. tplquad: Compute a triple integral’ nquad: Integration over multiple variables. I have written six functions to call these functions from Excel, via Pyxll: Each … Continue reading →

Posted in Excel, Link to Python, Maths, Newton, Numerical integration, NumPy and SciPy, PyXLL, UDFs | Tagged , , , , , | 6 Comments