Changelog#

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased]#

Further reduced the number of matrix products by around 30% for high orders and down to a guaranteed minimum for 3rd order.
Improved the efficiency of the MUMPS solver on real Hamiltonians.

Switched to the python-mumps wrapper for the direct solver, which is available on all platforms and is more feature-complete.
The implicit KPM solver now guarantees reaching a requested accuracy.
A new algorithm that has optimal scaling while avoiding multiplication by \(H_0\), and supports implicit data. This combines advantages of all previous algorithms, and therefore supersedes them.
Sped up cauchy_dot_product when there are more than 3 series by reusing intermediate results.
Optimized memory usage of ~pymablock.block_diagonalize by deleting intermediate results when they are no longer needed.

A complete description of the algorithm to the documentation, see documentation.
String representation of BlockSeries for readability.

expanded, symbolic, implicit, and general functions and algorithms (functionality taken over by the new general algorithm, with block_diagonalize the main interface).
the algorithm argument from block_diagonalize (there is only one algorithm now).
exclude_last argument of cauchy_dot_product (instead we check whtether other terms lack 0th order).