Inheritance diagram for GIMLI::RInversion:

Collaboration diagram for GIMLI::RInversion:

Public Types
typedef RVector	Vec

typedef RVector	ModelVector

Public Types inherited from GIMLI::InversionBase< double >
typedef Vector< double >	ModelVector

Public Member Functions
	RInversion (bool verbose=false, bool dosave=false)

	RInversion (ModellingBase &forward, bool verbose=false, bool dosave=false)

	RInversion (const Vec &data, ModellingBase &forward, bool verbose=false, bool dosave=false)

	RInversion (const Vec &data, ModellingBase &forward, Trans< Vec > &transData, bool verbose=true, bool dosave=false)

	RInversion (const Vec &data, ModellingBase &forward, Trans< Vec > &transData, Trans< Vec > &transModel, bool verbose=true, bool dosave=false)

virtual	~RInversion ()

void	setData (const Vec &data)

const Vec &	data () const

void	setRelativeError (const Vec &e)

void	setRelativeError (double relerr)

void	setAbsoluteError (const Vec &abserr)

void	setAbsoluteError (double abserr)

void	setError (const Vec &err, bool isRelative=true)

void	setError (double err, bool isRelative=true)

const Vec &	error () const

void	checkError ()

Vec	errorDefault_ ()

void	setForwardOperator (ModellingBase &forward)

ModellingBase *	forwardOperator ()

ModellingBase *	fop ()

void	setTransData (Trans< Vec > &tD)

Trans< Vec > &	transData ()

void	setTransModel (Trans< Vec > &tM)

Trans< Vec > &	transModel ()

uint	constraintsCount () const

uint	dataCount () const

void	setVerbose (bool verbose)

bool	verbose () const

void	setDoSave (bool d)

bool	doSave () const

void	saveModelHistory (bool doSaveModelHistory)

void	setLineSearch (bool linesearch)

bool	lineSearch () const

void	setBlockyModel (bool isBlocky)

bool	blockyModel () const

void	setRobustData (bool isRobust)

bool	robustData () const

void	setLambda (double lambda)

double	lambda () const

double	getLambda () const

void	setLambdaFactor (double lambdaFactor)

double	lambdaFactor () const

void	setLambdaMinimum (double l)

double	lambdaMinimum () const

void	setLocalRegularization (bool localReg)

bool	localRegularization () const

void	setOptimizeLambda (bool opt)

bool	optimizeLambda () const

void	setMaxIter (int maxiter)

int	maxIter () const

void	setMaxCGLSIter (int iter)

int	maxCGLSIter () const

void	setCGLSTolerance (double tol)

double	maxCGLSTolerance () const

uint	iter () const

bool	isRunning () const

void	abort ()

void	stopAtChi1 (bool stopAtChi1)

void	setDeltaPhiAbortPercent (double dPhi)

double	deltaPhiAbortPercent () const

void	setMarquardtScheme (double lambdaFactor=0.8)

void	checkTransFunctions ()

void	setRecalcJacobian (bool recalc)

bool	recalcJacobian () const

void	setBroydenUpdate (bool broydenUpdate)

bool	broydenUpdate () const

void	setModel (const Vec &model)

const ModelVector &	model () const

void	setReferenceModel (const Vec &model)

void	setResponse (const Vec &response)

void	setConstraintsH (const Vec &constraintsH)

const Vec &	response () const

Vec	getIRLS () const

void	setCWeight (const Vec &cWeight)

const Vec &	cWeight () const

void	setMWeight (const Vec &mweight)

const Vec &	mWeight () const

void	robustWeighting ()

void	constrainBlocky ()

void	checkConstraints ()

void	checkJacobian (bool force=false)

void	echoStatus () const

void	echoStatus (const Vec &response, const Vec &model, const std::string &xtra="") const

Vec	modelCellResolution (int iModel)

Vec	modelCellResolution (const RVector3 &pos)

RMatrix	modelResolutionMatrix ()

RVector	roughness (const RVector &model) const

RVector	roughness () const

RVector	pureRoughness (const RVector &model) const

double	getPhiD (const Vec &response) const

double	getPhiM (const Vec &model) const

double	getPhi (const Vec &model, const Vec &response) const

double	getPhiD () const

double	getPhiM () const

double	getPhi () const

double	getChi2 () const

double	getChi2 (const Vec &response) const

double	chi2 () const

double	absrms () const

double	relrms () const

double	linesearch (const Vec &modelNew, const Vec &responseNew) const

double	linesearchQuad (const Vec &modelNew, const Vec &responseNew, const Vec &modelQuad, const Vec &responseQuad, double tauquad) const

const std::vector< RVector > &	modelHistory () const

Vec	invSubStep (const Vec &rhs)

Vec	optLambda (const Vec &deltaData, const Vec &deltaModel0)

bool	oneStep ()
	!! h-variante More...

const Vec &	invert (const Vec &data)

const Vec &	start ()

const Vec &	run ()

Vec	runChi1 (double acc=0.01, int maxiter=50)

const RVector &	modelWeight () const

const RVector &	modelRef () const

const RVector &	dataWeight () const

const RVector &	deltaDataIter () const

const RVector &	deltaModelIter () const

void	reset ()

Public Member Functions inherited from GIMLI::InversionBase< double >
	InversionBase ()

virtual	~InversionBase ()

virtual const ModelVector &	model () const=0

virtual const ModelVector &	cWeight () const=0

virtual uint	iter () const=0

virtual double	chi2 () const=0

virtual bool	isRunning () const=0

Protected Member Functions
void	init_ ()

Protected Attributes
Vec	data_

ModellingBase *	forward_

Trans< Vec > *	tD_

Trans< Vec > *	tM_

Trans< Vec > *	transModelDefault_

Trans< Vec > *	transDataDefault_

bool	verbose_

bool	dosave_

bool	saveModelHistory_

Vec	error_

Vec	response_

Vec	model_

Vec	modelRef_

Vec	constraintsH_

Vec	constraintWeights_

Vec	modelWeight_

Vec	dataWeight_

Vec	deltaDataIter_

Vec	deltaModelIter_

int	maxiter_

int	iter_

int	maxCGLSIter_

double	lambda_

double	lambdaFactor_

double	lambdaMin_

double	dPhiAbortPercent_

double	CGLStol_

bool	isBlocky_

bool	isRobust_

bool	isRunning_

bool	useLinesearch_

bool	optimizeLambda_

bool	abort_

bool	stopAtChi1_

bool	doBroydenUpdate_

bool	localRegularization_

bool	haveReferenceModel_

bool	recalcJacobian_

bool	jacobiNeedRecalc_

bool	activateFillConstraintWeights_

bool	fixError_

std::vector< RVector >	modelHist_

Detailed Description

Inversion template using a Generalized Minimization Approach, atm fixed to Gauss-Newton solver Inversion(bool verbose, bool dosave Inversion(RVector data, FOP f, bool verbose, bool dosave Inversion(RVector data, FOP f, transData, transModel, bool verbose, bool dosave

Constructor & Destructor Documentation

◆ RInversion() [1/5]

GIMLI::RInversion::RInversion	(	bool	verbose = `false`,
		bool	dosave = `false`
	)

inline

Minimal constructor. verbose – gives some output and status information about the inversion progress; dosave – advanced debuging, saves alot of stuff and temporary data

◆ RInversion() [2/5]

GIMLI::RInversion::RInversion	(	ModellingBase &	forward,
		bool	verbose = `false`,
		bool	dosave = `false`
	)

inline

Contructor for forward operator only

◆ RInversion() [3/5]

GIMLI::RInversion::RInversion	(	const Vec &	data,
		ModellingBase &	forward,
		bool	verbose = `false`,
		bool	dosave = `false`
	)

inline

Usual constructor. data – vector of the given data; forward – the associated forward operator

◆ RInversion() [4/5]

GIMLI::RInversion::RInversion	(	const Vec &	data,
		ModellingBase &	forward,
		Trans< Vec > &	transData,
		bool	verbose = `true`,
		bool	dosave = `false`
	)

inline

Intermediate constructor including transforms and data transformation function

◆ RInversion() [5/5]

GIMLI::RInversion::RInversion	(	const Vec &	data,
		ModellingBase &	forward,
		Trans< Vec > &	transData,
		Trans< Vec > &	transModel,
		bool	verbose = `true`,
		bool	dosave = `false`
	)

inline

Full constructor including transforms. transData – data transformation function; transModel – model transformation function

◆ ~RInversion()

virtual GIMLI::RInversion::~RInversion ( )

inlinevirtual

Destructor. Frees allocated memory

Member Function Documentation

◆ abort()

void GIMLI::RInversion::abort ( )

inlinevirtual

Force abort at next iteration

Implements GIMLI::InversionBase< double >.

◆ absrms()

double GIMLI::RInversion::absrms ( ) const

inline

Return last absolute RMS misfit

◆ checkConstraints()

void GIMLI::RInversion::checkConstraints ( )

Create constraints, check and compare size of constraint matrix with model/boundary control

References GIMLI::Vector< ValueType >::resize().

◆ checkError()

void GIMLI::RInversion::checkError ( )

inline

Validate the data error. This check will be called at every new run or change of the error; Check size and content unequal to zero. If problems found, warn and set the data error to errorDefault_()

◆ checkJacobian()

void GIMLI::RInversion::checkJacobian ( bool force = false )

Check size of Jacobian matrix against data and model number

◆ checkTransFunctions()

void GIMLI::RInversion::checkTransFunctions ( )

inline

Check if transfunctions are valid, set default if no transfunctions are given or override given functions by regionManager.transfunctions if available

◆ chi2()

double GIMLI::RInversion::chi2 ( ) const

inline

Return last chi-squared data misfit

◆ constrainBlocky()

void GIMLI::RInversion::constrainBlocky ( )

inline

Apply blocky model constraints (see also setBlockyModel)

◆ constraintsCount()

uint GIMLI::RInversion::constraintsCount ( ) const

inline

Return number of constraints

◆ cWeight()

const Vec& GIMLI::RInversion::cWeight ( ) const

inline

Return reference to the current constraints weight vector

◆ data()

const Vec& GIMLI::RInversion::data ( ) const

inline

Get data vector

◆ dataCount()

uint GIMLI::RInversion::dataCount ( ) const

inline

Return number of data

◆ echoStatus() [1/2]

void GIMLI::RInversion::echoStatus ( ) const

inline

Shortcut for echoStatus(response_, model_).

◆ echoStatus() [2/2]

void GIMLI::RInversion::echoStatus	(	const Vec &	response,
		const Vec &	model,
		const std::string &	xtra = `""`
	)		const

inline

Echo PhiD/PhiM/Phi and Chi^2 for given model and response

◆ error()

const Vec& GIMLI::RInversion::error ( ) const

inline

Return the used data error

◆ errorDefault_()

Vec GIMLI::RInversion::errorDefault_ ( )

inline

Return a copy of the default data error array, [ Relative data error of 1% ]

◆ fop()

ModellingBase* GIMLI::RInversion::fop ( )

inline

Return forward operator. Shortcut for forwardOperator()

◆ forwardOperator()

ModellingBase* GIMLI::RInversion::forwardOperator ( )

inlinevirtual

Return forward operator.

Implements GIMLI::InversionBase< double >.

◆ getChi2() [1/2]

double GIMLI::RInversion::getChi2 ( ) const

inline

Return the chi-squared data misfit DEPRECATED wrong nameing scheme

◆ getChi2() [2/2]

double GIMLI::RInversion::getChi2 ( const Vec & response ) const

inline

Return the chi-squared data misfit for given forward response. DEPRECATED wrong nameing scheme

◆ getIRLS()

Vec GIMLI::RInversion::getIRLS ( ) const

inline

Return IRLS function of roughness vector

◆ getPhi() [1/2]

double GIMLI::RInversion::getPhi ( ) const

inline

Shortcut for getPhi(model_, response_) necessary ? DEPRECATED wrong nameing scheme

◆ getPhi() [2/2]

double GIMLI::RInversion::getPhi	(	const Vec &	model,
		const Vec &	response
	)		const

inline

Return total objective function (data OF plus lambda times model OF) DEPRECATED wrong nameing scheme

◆ getPhiD() [1/2]

double GIMLI::RInversion::getPhiD ( ) const

inline

Shortcut for getPhiD(response_) necessary ? DEPRECATED wrong nameing scheme

◆ getPhiD() [2/2]

double GIMLI::RInversion::getPhiD ( const Vec & response ) const

Return data objective function (sum of squared data-weighted misfit)

◆ getPhiM() [1/2]

double GIMLI::RInversion::getPhiM ( ) const

inline

Shortcut for getPhiM(model_) necessary ? DEPRECATED wrong nameing scheme

◆ getPhiM() [2/2]

double GIMLI::RInversion::getPhiM ( const Vec & model ) const

Return model objective function (squared model roughness)

◆ init_()

void GIMLI::RInversion::init_ ( )

inlineprotected

Internal initialization function, which is called from constructor. Set default paramater and allocate required memory

◆ invert()

const RVector & GIMLI::RInversion::invert ( const Vec & data )

Start the inversion with specific data.

◆ invSubStep()

Vec GIMLI::RInversion::invSubStep ( const Vec & rhs )

inline

Compute model update by solving one inverse sub-step

Parameters

rhs	The right-hand-side vector of the system of equation

!! h-variante

◆ isRunning()

bool GIMLI::RInversion::isRunning ( ) const

inline

Return true if inversion is running

◆ iter()

uint GIMLI::RInversion::iter ( ) const

inline

Return curent iteration number

◆ lambdaMinimum()

double GIMLI::RInversion::lambdaMinimum ( ) const

inline

Return the minimum lambda value that can be reached if lambda factor is set.

◆ linesearch()

double GIMLI::RInversion::linesearch	(	const Vec &	modelNew,
		const Vec &	responseNew
	)		const

inline

Start with linear interpolation, followed by quadratic fit if linesearch parameter tau is lower than 0.03. Tries to return values between 0.03 and 1

rigorous minimization of the total objective function

parabolic line search using step 0, 1 and tauquad to fit parabola

too large

negative or nearly zero (stucked) -> use small step instead

only if not nearly one (which saves a forward run

◆ linesearchQuad()

double GIMLI::RInversion::linesearchQuad	(	const Vec &	modelNew,
		const Vec &	responseNew,
		const Vec &	modelQuad,
		const Vec &	responseQuad,
		double	tauquad
	)		const

inline

Compute objective function for old (tau=0), new (tau=1) and another model

◆ localRegularization()

bool GIMLI::RInversion::localRegularization ( ) const

inline

Return whether regularization is global or local (e.g. Marquardt method)

◆ model()

const ModelVector& GIMLI::RInversion::model ( ) const

inline

Return a const reference to the current model vector

◆ modelCellResolution() [1/2]

Vec GIMLI::RInversion::modelCellResolution ( const RVector3 & pos )

inline

Compute cell resolution for closest cell to given position

References GIMLI::Matrix< ValueType >::push_back().

◆ modelCellResolution() [2/2]

Vec GIMLI::RInversion::modelCellResolution ( int iModel )

inline

Compute model cell resolution (specific column of resolution matrix) by an LSCG solver (Guenther, 2004)

◆ modelHistory()

const std::vector< RVector >& GIMLI::RInversion::modelHistory ( ) const

inline

Return the single models for each iteration. For debugging.

◆ modelResolutionMatrix()

RMatrix GIMLI::RInversion::modelResolutionMatrix ( )

inline

Compute whole resolution matrix by single cell resolutions

◆ mWeight()

const Vec& GIMLI::RInversion::mWeight ( ) const

inline

Return reference to the current model weight vector

References GIMLI::getIRLSWeights().

◆ oneStep()

bool GIMLI::RInversion::oneStep ( )

!! h-variante

One iteration step. Return true if the step can be calculated successfully else false is returned.

full step possible;

normal line search parameter between 0.03 and 0.94

** temporary stuff

References roughness().

◆ optLambda()

RVector GIMLI::RInversion::optLambda	(	const Vec &	deltaData,
		const Vec &	deltaModel0
	)

Optimization of regularization parameter by L-curve

◆ pureRoughness()

RVector GIMLI::RInversion::pureRoughness ( const RVector & model ) const

inline

Return (C * m) , i.e. the pure (unweighted) roughness

◆ relrms()

double GIMLI::RInversion::relrms ( ) const

inline

Return last relative RMS misfit

◆ reset()

void GIMLI::RInversion::reset ( )

inline

Resets this inversion to the given startmodel.

◆ response()

const Vec& GIMLI::RInversion::response ( ) const

inline

Return a reference to the current response vector

◆ robustWeighting()

void GIMLI::RInversion::robustWeighting ( )

inline

Call robust date reweighting (see also setRobustData)

◆ roughness() [1/2]

RVector GIMLI::RInversion::roughness ( ) const

inline

Shortcut for roughness for the current model vector

Referenced by oneStep().

◆ roughness() [2/2]

RVector GIMLI::RInversion::roughness ( const RVector & model ) const

inline

Return (C * m * m_w) * c_w

◆ run()

const RVector & GIMLI::RInversion::run ( )

virtual

Start the inversion procedure from the last model and return the final model vector.

Run inversion with current model.

calculation of initial modelresponse

() clear the model history

validate and rebuild the data error if necessary

validate and rebuild the constraint matrix if necessary

compute roughness constraint and correct it for inter-region constraints

validate and rebuild the jacobian if necessary

Implements GIMLI::InversionBase< double >.

◆ runChi1()

Vec GIMLI::RInversion::runChi1	(	double	acc = `0.01`,
		int	maxiter = `50`
	)

inline

Specialized run function that tries to reach a datafit chi^2=1 by varying the regularization paramater lambda

◆ saveModelHistory()

void GIMLI::RInversion::saveModelHistory ( bool doSaveModelHistory )

inline

Set and get verbose behaviour

◆ setAbsoluteError() [1/2]

void GIMLI::RInversion::setAbsoluteError ( const Vec & abserr )

inline

Set the absolute data error to the vector abserr

◆ setAbsoluteError() [2/2]

void GIMLI::RInversion::setAbsoluteError ( double abserr )

inline

Set absolute data error to the scalar value abserr

◆ setBlockyModel()

void GIMLI::RInversion::setBlockyModel ( bool isBlocky )

inline

Set and get blocky model behaviour (by L1 reweighting of constraints)

◆ setBroydenUpdate()

void GIMLI::RInversion::setBroydenUpdate ( bool broydenUpdate )

inline

Enable/disable broyden update (which enforces scaling by transform function derivatives

◆ setCGLSTolerance()

void GIMLI::RInversion::setCGLSTolerance ( double tol )

inline

Set and get abort tolerance for cgls solver. -1 means default scaling [default]

◆ setConstraintsH()

void GIMLI::RInversion::setConstraintsH ( const Vec & constraintsH )

inline

Set constraint right-hand side by hand (very special cases, so be careful)

◆ setCWeight()

void GIMLI::RInversion::setCWeight ( const Vec & cWeight )

inline

Set the constraint weight (boundary control) vector

◆ setData()

void GIMLI::RInversion::setData ( const Vec & data )

inlinevirtual

Set data vector

Implements GIMLI::InversionBase< double >.

◆ setDeltaPhiAbortPercent()

void GIMLI::RInversion::setDeltaPhiAbortPercent ( double dPhi )

inline

Set and get relative objective function decrease

◆ setDoSave()

void GIMLI::RInversion::setDoSave ( bool d )

inline

Set debug output

◆ setForwardOperator()

void GIMLI::RInversion::setForwardOperator ( ModellingBase & forward )

inlinevirtual

Set the forward operator and the model-transform-function derived from fop-regionManager if not set before.

why is this so strictly necessary???

Always use a region manager

Implements GIMLI::InversionBase< double >.

◆ setLambda()

void GIMLI::RInversion::setLambda ( double lambda )

inlinevirtual

Set and get regularization parameter and its change over iteration

Implements GIMLI::InversionBase< double >.

◆ setLambdaMinimum()

void GIMLI::RInversion::setLambdaMinimum ( double l )

inline

Set the minimum lambda value that can be reached if lambda factor is set. Default is 1.

◆ setLineSearch()

void GIMLI::RInversion::setLineSearch ( bool linesearch )

inline

Set and get line search

◆ setLocalRegularization()

void GIMLI::RInversion::setLocalRegularization ( bool localReg )

inline

Set whether regularization is global or local (e.g. Marquardt method)

◆ setMarquardtScheme()

void GIMLI::RInversion::setMarquardtScheme ( double lambdaFactor = 0.8 )

inline

Marquardt scheme (local damping with decreasing regularization strength

no contribution of regularization to objective function

lambda is decreased towards zero

let the solution fully converge (important for statistics)

◆ setMaxCGLSIter()

void GIMLI::RInversion::setMaxCGLSIter ( int iter )

inline

Set and get maximum iteration number for inverse sub step

◆ setMaxIter()

void GIMLI::RInversion::setMaxIter ( int maxiter )

inlinevirtual

Set and get maximum iteration number

Implements GIMLI::InversionBase< double >.

◆ setModel()

void GIMLI::RInversion::setModel ( const Vec & model )

inlinevirtual

Set model vector . If you call run() the inversion starts with this model, otherwise it will start with fop.startModel().

Implements GIMLI::InversionBase< double >.

◆ setMWeight()

void GIMLI::RInversion::setMWeight ( const Vec & mweight )

inline

Set the model weight vector

◆ setOptimizeLambda()

void GIMLI::RInversion::setOptimizeLambda ( bool opt )

inline

Set and get whether lambda is being optimized by Lcurve

◆ setRecalcJacobian()

void GIMLI::RInversion::setRecalcJacobian ( bool recalc )

inline

Define and find out whether Jacobian is recalculated in each iteration

◆ setReferenceModel()

void GIMLI::RInversion::setReferenceModel ( const Vec & model )

inlinevirtual

Set reference model vector

Implements GIMLI::InversionBase< double >.

References GIMLI::getIRLSWeights().

◆ setRelativeError() [1/2]

void GIMLI::RInversion::setRelativeError ( const Vec & e )

inline

Set the relative data error to the vector err.

◆ setRelativeError() [2/2]

void GIMLI::RInversion::setRelativeError ( double relerr )

inline

Set relative data error to scalar error value relerr. If you force relerr == 0 here. Data will not corrected or weighted.

◆ setResponse()

void GIMLI::RInversion::setResponse ( const Vec & response )

inline

Set current model response (e.g. to avoid time-consuming forward calculation, but be careful)

◆ setRobustData()

void GIMLI::RInversion::setRobustData ( bool isRobust )

inline

Set and get robust data weighting by L1 reweighting scheme

◆ setTransData()

void GIMLI::RInversion::setTransData ( Trans< Vec > & tD )

inlinevirtual

Set and get data transform. WARNING! we just store a reference to the trans .. U have to ensure that the trans is and stayes valid. TODO change this!!!

Implements GIMLI::InversionBase< double >.

◆ setTransModel()

void GIMLI::RInversion::setTransModel ( Trans< Vec > & tM )

inlinevirtual

Set and get Model transform WARNING! we just store a reference to the trans .. U have to ensure that the trans is and stayes valid. TODO change this!!!

Implements GIMLI::InversionBase< double >.

◆ setVerbose()

void GIMLI::RInversion::setVerbose ( bool verbose )

inline

Set verbose output

◆ start()

const RVector & GIMLI::RInversion::start ( )

Start the inversion procedure from starting model.

Start inversion from starting model.

◆ stopAtChi1()

void GIMLI::RInversion::stopAtChi1 ( bool stopAtChi1 )

inline

Define whether minimization stops at chi^2=1

Member Data Documentation

◆ fixError_

bool GIMLI::RInversion::fixError_

protected

Set this to zero if u want to use absolute errors == zero

◆ modelHist_

std::vector< RVector > GIMLI::RInversion::modelHist_

protected

Hold old models, for debuging

Public Types

Public Member Functions

Protected Member Functions

Protected Attributes

Detailed Description

Constructor & Destructor Documentation

◆ RInversion() [1/5]

◆ RInversion() [2/5]

◆ RInversion() [3/5]

◆ RInversion() [4/5]

◆ RInversion() [5/5]

◆ ~RInversion()

Member Function Documentation

◆ abort()

◆ absrms()

◆ checkConstraints()

◆ checkError()

◆ checkJacobian()

◆ checkTransFunctions()

◆ chi2()

◆ constrainBlocky()

◆ constraintsCount()

◆ cWeight()

◆ data()

◆ dataCount()

◆ echoStatus() [1/2]

◆ echoStatus() [2/2]

◆ error()

◆ errorDefault_()

◆ fop()

◆ forwardOperator()

◆ getChi2() [1/2]

◆ getChi2() [2/2]

◆ getIRLS()

◆ getPhi() [1/2]

◆ getPhi() [2/2]

◆ getPhiD() [1/2]

◆ getPhiD() [2/2]

◆ getPhiM() [1/2]

◆ getPhiM() [2/2]

◆ init_()

◆ invert()

◆ invSubStep()

◆ isRunning()

◆ iter()

◆ lambdaMinimum()

◆ linesearch()

◆ linesearchQuad()

◆ localRegularization()

◆ model()

◆ modelCellResolution() [1/2]

◆ modelCellResolution() [2/2]

◆ modelHistory()

◆ modelResolutionMatrix()

◆ mWeight()

◆ oneStep()

◆ optLambda()

◆ pureRoughness()

◆ relrms()

◆ reset()

◆ response()

◆ robustWeighting()

◆ roughness() [1/2]

◆ roughness() [2/2]

◆ run()

◆ runChi1()

◆ saveModelHistory()

◆ setAbsoluteError() [1/2]

◆ setAbsoluteError() [2/2]

◆ setBlockyModel()

◆ setBroydenUpdate()

◆ setCGLSTolerance()

◆ setConstraintsH()

◆ setCWeight()

◆ setData()

◆ setDeltaPhiAbortPercent()

◆ setDoSave()

◆ setForwardOperator()

◆ setLambda()

◆ setLambdaMinimum()