riccati_rb_gamma.m File Reference

[gamma] = riccati_rb_gamma(model, reduced_data, sim_data) More...

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Functions
function gamma =	riccati_rb_gamma (model, reduced_data, sim_data)
	[gamma] = riccati_rb_gamma(model, reduced_data, sim_data) More...

Detailed Description

[gamma] = riccati_rb_gamma(model, reduced_data, sim_data)

Definition in file riccati_rb_gamma.m.

Function Documentation

function gamma = riccati_rb_gamma	(		model,
			reduced_data,
			sim_data
	)

[gamma] = riccati_rb_gamma(model, reduced_data, sim_data)

Calculate the norm of the inverse Lyapunov operator for the RB approximation. This can be done in several ways, depending on the field reduced_data.estim.gamma.mode which is directly copied from model.RB_gamma_mode.

interpol: use an interpolation based calculation of the constant kernel_interpolation: kernel interpolation based approximation exponential_bound: use an exponential bound to calculate the constant

Andreas Schmidt, 2015

Parameters

model	model
reduced_data	reduced data
sim_data	matlab struct with simulation data generated e.g. by detailed_simulation() or rb_reconstruction() methods.

Return values

gamma

gamma

Required fields of reduced_data:

• estim —  estim
• estim.gamma.mode —  estim.gamma.mode
• estim.gamma.interpolant —  estim.gamma.interpolant
• estim.gamma.alpha —  estim.gamma.alpha
• estim.gamma.kernel —  estim.gamma.kernel
• estim.gamma.interpol_mus —  estim.gamma.interpol mus
• estim.normEInv —  estim.normEInv

Definition at line 17 of file riccati_rb_gamma.m.

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