SOLA Inversion [Inversion Functions]

Functions
InversionData *	OLAInit (InputParms inputParms, char *commandLineOutputDir, bool debug)
void	OLAInvert (MAP_DEPTH_MATRIX K, MAP_DEPTH_MATRIX K2piCC, MAP_DEPTH_MATRIX Lambda, MATRIX Theta, MAP_DEPTH_MATRIX T, Model *model, BaseDirectory *debugFilename, bool debug)
void	OLAInvert2 (InversionData *inversionData)

---

Function Documentation

InversionData* OLAInit	(	InputParms	inputParms,
		char *	commandLineOutputDir,
		bool	debug
	)

Fill InversionData structure with data from input files.

Parameters:

[in]	inputParms	InputParms structure filled with filenames, directories and parameters extracted from input file.
[in]	commandLineOutputDir	character string with new output directory specified on command line.
[in]	debug	Boolean flag for writing intermediate matrix values.

Returns:

InversionData structure filled with input data.

void OLAInvert	(	MAP_DEPTH_MATRIX	K,
		MAP_DEPTH_MATRIX	K2piCC,
		MAP_DEPTH_MATRIX	Lambda,
		MATRIX	Theta,
		MAP_DEPTH_MATRIX	T,
		Model *	model,
		BaseDirectory *	debugFilename,
		bool	debug
	)

Perform inversion using OLA approach.

Parameters:

[in]	K	Kernel in frequency space
[in]	K2piCC	The complex conjugate of K in frequency space multiplied by (2pi)^2;
[in]	Lambda	Lambda Travel-time noise covariance matrix
[in]	Theta	Overlap matrix, describing expansion in terms of basis functions.
[in]	T	Target function described in matrix form.
[in,out]	model	A Model Object. Inversion results are returned in this object.
[in]	debugFilename	BaseDirectory structure to manage output of debug file names.
[in]	debug	bool flag; true if debug; false otherwise. Precalculate the Target function for x, y and z values, then Fourier transform it.

void OLAInvert2

(

InversionData *

inversionData

)

Setup call to OLA inversion by extracting the input matrices and intermediate matrices. Setup the output files with the parameter steps. Record parameter values in model and inversion data structure.

Parameters:

[in,out]

inversionData

Pointer to structure containing all inversion data.