Data of Rosenbrock method of "A unifying framework for ADI-like methods for linear matrix equations and beneficial consequences" (Q6709931)

This deposit contains the datasets generated by the Rosenbrock method for the paper: J. Schulze, J. Saak: "A unifying framework for ADI-like methods for linear matrix equations and beneficial consequences". Download the individual files and store them inside the directory data/rosenbrock/. The file names are structured as follows. Rail5177: Steel Profile benchmark problem of dimension 5177 adi_initprev=true|false: whether the initial ADI iterate was set to the solution at the previous time step (or zero) adi_kwargs=...: keyword arguments passed to ADI method maxiters=200: maximum number of iterations reltol=1e-10: relative tolerance to reason about convergence shifts=...: shift strategy nsteps=45|150: number of Rosenbrock steps tspan=(4500.0, 0.0): global time span of DRE .jld2: file suffix. All file have been generated withJLD2.jl version 0.4.38 Load the dataset via using JLD2 and file = load(FILENAME). This will yield a dictionary having the following entries: file["rosenbrock_metrics"]: data frame containing execution metrics of Rosenbrock iterations file["adi_metrics"]: data frame containing execution metrocs of ADI iterations of all Rosenbrock iterations file["timer"]: isolated runtime metrics generated withTimerOutputs.jl version 0.5.23 file["timer_metrics"]: runtime metrics of seperate run with additional data observers enabled file["config"]: internal configuration object that led to this dataset (information also embedded in file name) file["failed"]: Boolean on whether configuration has failed (always false) All data frames were generated with DataFrames.jl version 1.6.1 and have their columns documented using metadata. Generating this dataset took ~22h and consumed ~2.72kWh of electricity.