Functions
bool	DimensionsOkFwd (MAP_DEPTH_MATRIX K, MAP_DEPTH_MATRIX b, MAP_DEPTH_MATRIX A, MATRIX Theta, bool useFourierTransform)
void	ForwardCalc (InversionData *inversionData)
void	setSeed (BaseDirectory outputBaseDir, const LambdaSet lambdaSet)
InversionData *	ForwardInit (InputParms inputParms, char *commandLineOutputDir, bool debug)
void	ForwardAddNoise (InversionData *inversionData)
void	ForwardComplete (InversionData *inversionData)
void	ForwardDestroy (InversionData *inversionData)
bool	ForwardMoreParameterSteps (InversionData *inversionData)
void	ForwardNextParameter (InversionData *inversionData)

Function Documentation

bool DimensionsOkFwd	(	MAP_DEPTH_MATRIX	K,
		MAP_DEPTH_MATRIX	b,
		MAP_DEPTH_MATRIX	A,
		MATRIX	Theta,
		bool	useFourierTransform
	)

Check dimensions of matrices before performing calculations

Parameters:

`[in]`	K	kernel matrix
`[in]`	b	model matrix
`[in]`	A	noise amplitude matrix
`[in]`	Theta	dz matrix
`[in]`	useFourierTransform	True if matrices are in frequency domain.

Returns:: True if dimensions are ok, false otherwise.

void ForwardAddNoise ( InversionData * inversionData )

Add noise to maps and stuff them into dTilde in the output model. Setup the output files with the parameter steps. Record parameter values in model and inversion data structure.

Parameters:

[in,out] inversionData Pointer to InversionData structure, which contains all input data, temporary data, parameters and result data.

void ForwardCalc ( InversionData * inversionData )

Perform forward calculation using the input matrices and intermediate matrices. NOTE: Kernels must already have overlap matrix applied. Put the noise free maps (dTilda) in intermediate values, so they may be reused when adding noise.

Parameters:

[in,out] inversionData Pointer to structure containing all inversion data.

void ForwardComplete ( InversionData * inversionData )

Complete forward calculation by writing d~ matrix.

Parameters:

[in] inversionData Pointer to data: K 4D-matrix containing Kernel data in wavespace. b 4D-matrix containing model data, b, in wavespace. d~ 4D-matrix containing estimate of travel-time map, in wavespace. baseDir BaseDirectory structure which manages the output filenames. debug Boolean flag: true if writing intermediate matrix values during inversion.

void ForwardDestroy ( InversionData * inversionData )

Free memory after forward calculation is complete.

Parameters:

[in,out] inversionData Pointer to InversionData structure.

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

Fill InversionData structure with data from input file. Read kernels, model, and noise level parameter

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.

bool ForwardMoreParameterSteps ( InversionData * inversionData )

void ForwardNextParameter ( InversionData * inversionData )

void setSeed	(	BaseDirectory *	outputBaseDir,
		const LambdaSet *	lambdaSet
	)

Set random generator seed from input file if possible, otherwise, use the system time. Write the seed to an output file

Parameters:

`[in]`	outputBaseDir	The BaseDirectory for all output files.
`[in]`	lambdaSet	The random seed comes from the input parameter file as the minimum value in a LambdaSet.

src/forward/forwardMain.c File Reference

Functions

Function Documentation