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README

This repository contains minimal code for running the numerical examples in the paper:

D. Pradovera, Toward a certified greedy Loewner framework with minimal sampling (2023)

Preprint publicly available here!

All examples are from the SLICOT library!

Prerequisites

  • python (version: 3.8.12)
  • numpy (version: 1.21.4)
  • scipy (version: 1.5.3)
  • matplotlib (version: 3.4.3)

Execution

The simulations in the paper can be run via run.py.

Code can be run as

python3 run.py $example_tag

The placeholder $example_tag can take the self-explanatory values

  • MNA_4
  • MNA_4_RANDOM
  • TLINE
  • TLINE_MEMORY
  • ISS
  • ISS_BATCH
  • ISS_RANDOM

Otherwise, one can simply run

python3 run.py

and then input $example_tag later.

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