Skip to content

News

Updated at: 2026-06-23 17:26:00 CEST

v3.0.1 released

June 23, 2026 — v3.0.1 has been released!

Changes:

  • Add new backends: lfilter (using transfer functions to decouple xi into its elements, then scipy lfilter per element) and cupy (using GPUs & CUDA, if available)

  • Add generalization to more than 1 dimension (NDCompositeCosts) and corresponding backends

  • Add new polynomial ALSSMs (Legendre and Meixner)

  • Add new steady state calculation methods

  • Add new minimization method

  • Add rls.fit() and rls.convolve() as composite-functions

  • Add new examples

  • Switched docu to mkdocs

  • Update API of trajectories and windows


v2.1.1 released

November 07, 2022 — v2.1.1 has been released!

What's Changed:

  • added assertion message for functions minimize_v() by @fwaldmann in https://github.com/lmlib/lmlib/pull/19

  • added function filter_minimize_v() by @fwaldmann in https://github.com/lmlib/lmlib/pull/18

  • Documentation fix minimize_h() by @fwaldmann in https://github.com/lmlib/lmlib/pull/17

  • Down-sample rate option for load_lib_csv, load_lib_csv_mc, load_csv, … by @fwaldmann in https://github.com/lmlib/lmlib/pull/16

  • Segment(gamma added) by @fwaldmann in https://github.com/lmlib/lmlib/pull/15

Full Changelog: https://github.com/lmlib/lmlib/compare/v2.1.0...v2.1.1


v2.1.0 released

August 15, 2022 — v2.1.0 has been released!

New Examples added TSLM (Two Sided Line Model) Class added Bugfix and print out modifications Documentation


v2.0.2 released

July 04, 2022 — v2.0.2 has been released!

JIT recursions update added examples (jit and window weights)

bugfixes:

  • window weights for infinite windows

  • jit recursions for RLSAlssmSet


v2.0.1 released

June 28, 2022 — v2.0.1 has been released!