java.lang.Object
- gov.nih.mipav.model.algorithms.NLConstrainedEngine

Direct Known Subclasses:

AlgorithmAutoCorrelation.FitCorrelationModel, AlgorithmAutoCovariance.FitCovarianceModel, AlgorithmConstELSUNCOpt3D.FitOAR3DConstrainedModel, AlgorithmContrastEnhancementUsingExposureFusion.kFitting, AlgorithmDEMRI3.Fit24DModel, AlgorithmDEMRI3.Fit25HModel, AlgorithmDEMRI3.FitDEMRI3ConstrainedModel, AlgorithmELSUNCOpt2D.FitOAR2DELSUNCModel, AlgorithmELSUNCOpt3D.FitOAR3DELSUNCModel, AlgorithmFRAP.Fit24DModel, AlgorithmFRAP.FitDoubleExponentialModel, AlgorithmFRAP.FitDoubleExponentialNoWholeConstrainedModel, AlgorithmFRAP.FitDoubleExponentialNoWholeModel, AlgorithmFRAP.FitIntensityProfile, AlgorithmFRAP.FitPure1DModel, AlgorithmFRAP.FitSingleExponentialModel, AlgorithmFRAP.FitWholeNLConInt2, AlgorithmFRAP.FitWholeNLConModel, AlgorithmFRAP.FitWholeNLConModel2, AlgorithmFRAP.FitWholeNLConModel3, AlgorithmFRAP.FitWholeNLConModelqd, AlgorithmSM2.FitAll, AlgorithmSM2.FitSM2ConstrainedModel, AlgorithmSM2.FitSM2ConstrainedModelC, AlgorithmTimeFitting.FitExponential, AlgorithmTimeFitting.FitGaussian, AlgorithmTimeFitting.FitLaplace, AlgorithmTimeFitting.FitLine, AlgorithmTimeFitting.FitLorentz, AlgorithmTimeFitting.FitMultiExponential, AlgorithmTimeFitting.FitRayleigh, DSC_MRI_toolbox.gauss1Fitting, DSC_MRI_toolbox.gauss2Fitting, DSC_MRI_toolbox.gaussStandardDeviationFitting, DSC_MRI_toolbox.GVFitting, DSC_MRI_toolbox.GVRecirculation, NLFittedFunction, SchwarzChristoffelMapping.crpfun, SchwarzChristoffelMapping.depfun, SchwarzChristoffelMapping.dpfun, SchwarzChristoffelMapping.rpfun, SchwarzChristoffelMapping2.hppfun, SchwarzChristoffelMapping2.stpfun, SIFT.FitMosaicModel, WeibullDistribution.WeibullCostFunction2param, WeibullDistribution.WeibullCostFunction3param
```
public abstract class NLConstrainedEngine
extends java.lang.Object
```
Display results of displaying exponential fitting parameters.

Field Summary

Fields
Modifier and Type	Field	Description
`protected double[]`	`a`	On completion if exitStatus >= 0 a[] contains the latest (best) estimate of the solution point.
`private double`	`a1div3`	DOCUMENT ME!
`protected double`	`absoluteConvergence`	absolute convergence constant Used to test for convergence by the sum of squares being less than the absoluteConvergence squared.
`private double`	`aDiff`	DOCUMENT ME!
`private double`	`alfkm1`	DOCUMENT ME!
`private double`	`alfkm2`	DOCUMENT ME!
`private double`	`alfnoi`	DOCUMENT ME!
`private double`	`alpha`	DOCUMENT ME!
`private double`	`alphup`	DOCUMENT ME!
`protected boolean`	`analyticalJacobian`
`private int[]`	`aset`	1D integer array of length param containing a code which indicates whether an unknown is active or not aset[i] = 0 when a[i] is free = +1 when a[i] == bl[i] = -1 when a[i] == bu[i].
`private double`	`aupkm1`	DOCUMENT ME!
`private int`	`BARD`
`private int`	`BEALE`
`private double`	`bestpg`	DOCUMENT ME!
`private double`	`beta`	scalar containing the norm of the orthogonal projection of residuals onto the space spanned by the columns of the Jacobian.
`private double`	`betkm1`	DOCUMENT ME!
`private double`	`betkm2`	DOCUMENT ME!
`private static double`	`big`	DOCUMENT ME!
`private int`	`BIGGS_EXP6`
`protected double[]`	`bl`	DOCUMENT ME!
`private double`	`bl0`	DOCUMENT ME!
`private double`	`bn`	DOCUMENT ME!
`protected int`	`bounds`	integer scalar code for assessing the bounds bounds = 0 means an unconstrained problem bounds = 1 means the same lower bounds for all unknowns and the same upper bounds for all unknowns.
`private int`	`BOX_3D`
`private int`	`BROWN_ALMOST_LINEAR`
`private int`	`BROWN_AND_DENNIS`
`private int`	`BROWN_BADLY_SCALED`
`private int`	`BROYDEN_BANDED`
`private int`	`BROYDEN_TRIDIAGONAL`
`protected double[]`	`bu`	DOCUMENT ME!
`private double`	`bu0`	DOCUMENT ME!
`private int`	`CERES_CURVE_FITTING`
`private int`	`CHEBYQUAD`
`private double`	`cnorm`	DOCUMENT ME!
`private int`	`constraintAct`	Number of active constraints.
`private int`	`ctrl`	ctrl can have 3 different values on entry.
`protected int[]`	`ctrlMat`	Wrapper for ctrl or lctrl communication with driver.
`private double`	`d1km1`	DOCUMENT ME!
`private double`	`d1sqs`	scalar containing the predicted reduction in the objective function if gn-direction is used.
`private double`	`deltaMinrm`	DOCUMENT ME!
`private double[]`	`diag`	1D double array of length param conatiaing the diagonal elements of the diagonal matrix D if internalScaling is true.
`private int`	`DISCRETE_BOUNDARY_VALUE`
`private int`	`DISCRETE_INTEGRAL`
`private int`	`DRAPER24D`
`private double[]`	`dx`	double working areas 1D array of length param containing the solution of J * dx = -residuals.
`private double`	`dxnkm1`	DOCUMENT ME!
`private double`	`dxnorm`	DOCUMENT ME!
`protected double[]`	`dyda`	DOCUMENT ME!
`private double`	`eps`	DOCUMENT ME!
`private double`	`epsl`	DOCUMENT ME!
`private int`	`EQUILIBRIUM_COMBUSTION`
`private int`	`errorStatus`	DOCUMENT ME!
`private int`	`eval`	DOCUMENT ME!
`private int`	`exitStatus`	integer scalar that indicates why the return was taken.
`private double`	`exp0p1`
`private double[]`	`expap1`
`private int`	`EXTENDED_POWELL_SINGULAR`
`private int`	`EXTENDED_ROSENBROCK`
`private int`	`FREUDENSTEIN_AND_ROTH`
`private double`	`fsqkm1`	DOCUMENT ME!
`private double`	`fsum`	DOCUMENT ME!
`private int`	`funcEval`	integer scalar containing the total number of function evaluations done inside this routine.
`private double[]`	`g`	1D array of length param containing the gradient of the objective at the current point.
`private int`	`GAUSSIAN`
`private double[][]`	`gmat`	param by param array If secondAllowed if false, gmat can be used as a singly subscripted array of dimension param by setting all second indices to 0.
`private boolean`	`gndok`	DOCUMENT ME!
`private double`	`gnorm`	scalar containing norm of the gradient divided by norm of Jacobian.
`protected double[]`	`gues`	DOCUMENT ME!
`private int`	`GULF_RESEARCH_AND_DEVELOPMENT`
`private int`	`HATFLDB`
`private int`	`HATFLDC`
`private int`	`HELICAL_VALLEY`
`private int`	`HOCK1`
`private int`	`HOCK21_MODIFIED`
`private int`	`HOCK25`
`private int`	`HOCK3`
`private int`	`HOCK4`
`private int`	`icount`	Variables used for restart information.
`private int`	`iev`	DOCUMENT ME!
`private int`	`ifree`	DOCUMENT ME!
`private int`	`imax`	Variables used for restart information.
`private int`	`indic`	DOCUMENT ME!
`private int`	`info`	Consistently use 1 base indexing rather than 0 based indexing
`protected boolean`	`internalScaling`	If true, the columns of the Jacobian are scaled to have unit length.
`private int`	`irank`	Variables used for restart information.
`protected int`	`iters`	integer scalar containing the number of iterations until termination.
`private int`	`itotal`	Variables used for restart information.
`private int`	`ival`	Variables used for restart information.
`protected double[][]`	`jacobian`	2D array of doubles of dimension nPts by max(4,param) containing the main part of the covariance matrix (Jtranspose * J)inverse, where J is the Jacobian matrix computed at a.
`private int`	`jacobianEval`	integer scalar containing the number of function evaluations caused by computing Jacobians with difference methods.
`private int`	`JENNRICH_AND_SAMPSON`
`private int`	`kod`	DOCUMENT ME!
`private int`	`kodkm1`	The suffices km2 and km1 in the names of the variables represent time step k-2 and k-1 respectively.
`private int`	`kodkm2`	The suffices km2 and km1 in the names of the variables represent time step k-2 and k-1 respectively.
`private int`	`KOWALIK_AND_OSBORNE`
`private int`	`lattry`	Variables used for restart information.
`private int`	`LEVMAR_ROSENBROCK`
`private int`	`LINEAR_FULL_RANK`
`private int`	`LINEAR_RANK1`
`private int`	`LINEAR_RANK1_WITH_ZERO_COLUMNS_AND_ROWS`
`private int`	`lineEval`	integer scalar containing the number of function evaluations caused by the linesearch algorithm.
`private int`	`MADSEN`
`protected int`	`maxIterations`	DOCUMENT ME!
`private int`	`mdg`	Leading dimension of array gmat mdg must be >= param if secondAllowed is true.
`private int`	`MEYER`
`private int`	`MODIFIED_ROSENBROCK`
`private double`	`noise`	DOCUMENT ME!
`protected int`	`nPts`	integer scalar containing the number of data points.
`private int`	`OSBORNE1`
`private int`	`OSBORNE2`
`protected boolean`	`outputMes`
`private double`	`p1sqrtem5`
`protected int`	`param`	variables integer scalar containing the number of unknowns.
`protected double`	`parameterConvergence`	parameter convergence constant Used to test for convergence by the relative change in a[] being less than the parameterConvergence.
`private int`	`PENALTY_FUNCTION_I`
`private int`	`PENALTY_FUNCTION_II`
`private double`	`pgb1`	DOCUMENT ME!
`private double`	`pgb2`	DOCUMENT ME!
`private double`	`phi`	double scalar containging the value of the objective function = (0.5 * chisquare) at the termination point a.
`private double`	`phikp1`	DOCUMENT ME!
`private double`	`philat`	DOCUMENT ME!
`private int[]`	`pivit`	array of integers of dimension param containing the permutation matrix E in the decomposition QTranspose * J * D E = (R) (0) pivit[i] contains the index of the column that was moved into column i.
`private double`	`pMinrm`	DOCUMENT ME!
`private int`	`POWELL_2_PARAMETER`
`private int`	`POWELL_BADLY_SCALED`
`private int`	`POWELL_SINGULAR`
`private double`	`predb`	DOCUMENT ME!
`private double`	`prekm1`	scalar containing the predicted reduction in the objective if pseudoRank from previous step is used.
`private double`	`qMinrm`	DOCUMENT ME!
`private double`	`rabs`	DOCUMENT ME!
`protected double`	`relativeConvergence`	relative convergence constant Used to test for convergence by reduction in objective function being less than relativeConvergence squared.
`protected double[]`	`residuals`	1D array of doubles of dimension nPts containing the value of the residuals at the termination point a;.
`private boolean`	`restart`	DOCUMENT ME!
`private double`	`rlenb`	DOCUMENT ME!
`private double`	`rmin`	DOCUMENT ME!
`private int`	`rngkm1`	The suffices km2 and km1 in the names of the variables represent time step k-2 and k-1 respectively.
`private double`	`rootsp`	DOCUMENT ME!
`private int`	`ROSENBROCK`
`private double`	`scv0v1`	DOCUMENT ME!
`private double`	`scv0v2`	DOCUMENT ME!
`private double`	`scv1v2`	DOCUMENT ME!
`private int`	`secind`	DOCUMENT ME!
`protected boolean`	`secondAllowed`	The method of Newton is allowed at the end of the iteration in some situations (large residuals).
`private int`	`secondEval`	integer scalar containing the number of function evaluations caused by using second derivatives in the method of Newton.
`private double`	`smax`	DOCUMENT ME!
`private double`	`sn`	DOCUMENT ME!
`private double`	`speed`	double scalar containing an estimate of the linear convergence factor.
`private double`	`sqrt10`
`private double`	`sqrt5`
`private double`	`sqrtem5`
`private double`	`srelpr`	single relative precision.
`protected double`	`stdv`	DOCUMENT ME!
`private double`	`stepb`	DOCUMENT ME!
`private int`	`testCase`
`private boolean`	`testMode`
`protected double`	`tolerance`	pseudo rank tolerance constant used to determine the pseudo rank of the Jacobian J.
`private int`	`TRIGONOMETRIC`
`private double[]`	`v`	1D array of length nPts containing the orthogonal projection of residuals onto space spanned by the first pseudoRank linear independent columns of the Jacobian.
`private double`	`v0norm`	DOCUMENT ME!
`private double`	`v1norm`	DOCUMENT ME!
`private double`	`v2norm`	DOCUMENT ME!
`private int`	`VARIABLY_DIMENSIONED_FUNCTION`
`private double[]`	`w0`	DOCUMENT ME!
`private double[]`	`w1`	DOCUMENT ME!
`private double[]`	`w2`	DOCUMENT ME!
`private double[]`	`w3`	DOCUMENT ME!
`private int`	`WATSON`
`private int`	`WOOD`
`private double`	`x1Minrm`	DOCUMENT ME!
`private double`	`x2Minrm`	DOCUMENT ME!
`private double`	`x3Minrm`	DOCUMENT ME!
`private double[]`	`xSeries`	DOCUMENT ME!
`private double[]`	`ySeries`	DOCUMENT ME!

Constructor Summary

Constructors
Constructor Description

NLConstrainedEngine()

NLConstrainedEngine(int nPts, int param)
NLConstrainedEngine - non-linear fit to a function.

Method Summary

All Methods Instance Methods Abstract Methods Concrete Methods
Modifier and Type	Method	Description
`private void`	`analuc(int[] prank)`	DOCUMENT ME!
`private void`	`btrunc(int[] prank, boolean internalScaling, double[] work)`	DOCUMENT ME!
`private void`	`chder(double dphize, int[] k, double[] alfk, double[] phik)`	DOCUMENT ME!
`private void`	`choose(double xmin, double[] v2, double[] root1, double[] root2, double[] proot2)`	DOCUMENT ME!
`private void`	`covar()`	DOCUMENT ME!
`private void`	`dimsub(int[] prank, int[] rank)`	DOCUMENT ME!
`private double`	`dnrm2(int n, double[] x, int incx)`	DOCUMENT ME!
`void`	`driver()`	driver.
`private void`	`driverCalls()`
`void`	`dumpTestResults()`
`private void`	`evreuc(int[] prank)`	DOCUMENT ME!
`private void`	`fitTestModel()`	Creates a new Fit24DModel object.
`abstract void`	`fitToFunction(double[] a, double[] residuals, double[][] jacobian)`	fitToFunction communicates with 3 protected variables param, nPts, and ctrlMat ctrlMat is used as a wrapper for ctrl or lctrl.
`void`	`fitToTestFunction(double[] a, double[] residuals, double[][] jacobian)`
`private void`	`fsumsq(double alfk, double[] xnew, double[] fnew, double[] fn_val, int[] ctrl)`	DOCUMENT ME!
`private void`	`gauc(int[] k, double alfmin, double[] gmod, double dphize, double[] u, double[] phiu, double tau, double pmax)`	DOCUMENT ME!
`double`	`getChiSquared()`	getChiSquared - accessor to chi-squared value (goodness-of-fit measure).
`int`	`getExitStatus()`
`int`	`getIterations()`
`double[]`	`getParameters()`	getParameters accessor to function parameters.
`double[]`	`getResiduals()`	DOCUMENT ME!
`private void`	`gnavuc()`	DOCUMENT ME!
`private double`	`gndunc(boolean internalScaling, int[] prank, double[] work)`	DOCUMENT ME!
`private void`	`hess()`	DOCUMENT ME!
`private void`	`jacdif(int[] ctrl)`	DOCUMENT ME!
`private void`	`jtrj(int nn)`	DOCUMENT ME!
`private void`	`lineuc(double[] gmod, double dphize, double alplow)`	DOCUMENT ME!
`private void`	`linuc2(double[] fnew, double alfk, double[] v2)`	DOCUMENT ME!
`private void`	`lsunc()`	DOCUMENT ME!
`private void`	`minrm(double[] v2, double alfmin, double alfmax, double xmin, double[] x, double[] px, double[] y, double[] py)`	DOCUMENT ME!
`private void`	`minrm1(double[] v2)`	DOCUMENT ME!
`private void`	`minrm2()`	DOCUMENT ME!
`private void`	`minrn(double x, double fx, double w, double fw, double v, double fv, double alfmin, double alfmax, double pmax, double[] u, double[] pu)`	DOCUMENT ME!
`private void`	`newunc()`	DOCUMENT ME!
`private void`	`oner(double[] x)`	DOCUMENT ME!
`private void`	`outuc()`	DOCUMENT ME!
`private void`	`pivec(double[] work)`	DOCUMENT ME!
`private double`	`pol3(double x)`	DOCUMENT ME!
`private double`	`pol4(double[] v2, double x)`	DOCUMENT ME!
`private void`	`pregn(double[] work, int mindim, int[] prank, int[] dim)`	DOCUMENT ME!
`private void`	`presub(double[] work, int[] prank, int[] rank)`	DOCUMENT ME!
`private void`	`quamin(double x, double fx, double w, double fw, double v, double fv, double[] u)`	DOCUMENT ME!
`private void`	`reavuc()`	DOCUMENT ME!
`private void`	`reduc(double[] alf, double[] phialf, double alfk, double pk, double diff, double eta, double[] gmod, double[] fnew, int[] k, double[] phik, boolean[] reduce)`	DOCUMENT ME!
`private void`	`releps()`	DOCUMENT ME!
`private void`	`rtrw1(int nn)`	DOCUMENT ME!
`private void`	`scalv(double[] v, double factor, int n)`	DOCUMENT ME!
`private void`	`scaunc()`	DOCUMENT ME!
`private void`	`schdc(int nn, int[] jpvt, int job)`	DOCUMENT ME!
`private void`	`secuc()`	DOCUMENT ME!
`private double`	`shiftedChebyshev(double x, int n)`
`private double`	`shiftedChebyshevDerivative(double x, int n)`
`private void`	`soliuc(double tau, int[] prank)`	DOCUMENT ME!
`private void`	`sposl(int nn)`	DOCUMENT ME!
`private void`	`sqrdc(double[][] x, int n, int p, double[] qraux, int[] jpvt, int job)`	DOCUMENT ME!
`private void`	`sqrsl(double[][] x, int n, int k, double[] qraux, double[] y, double[] qy, double[] qty, double[] b, double[] rsd, double[] xb, int job)`	DOCUMENT ME!
`void`	`statusMessage(int status)`
`private void`	`stepuc(int[] prank)`	DOCUMENT ME!
`private void`	`strsl(int[] prank, double[] b)`	DOCUMENT ME!
`private void`	`subuc(int[] prank, int[] rank)`	DOCUMENT ME!
`private void`	`termuc(int[] prank, double aNorm)`	DOCUMENT ME!
`private void`	`triunc(double tol, int constraintAct, int[] prank)`	DOCUMENT ME!
`private void`	`twor()`	DOCUMENT ME!

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - big
```
private static final double big
```
    DOCUMENT ME!
    
    See Also:
    
    Constant Field Values
  - a
```
protected double[] a
```
    On completion if exitStatus >= 0 a[] contains the latest (best) estimate of the solution point.
  - absoluteConvergence
```
protected double absoluteConvergence
```
    absolute convergence constant Used to test for convergence by the sum of squares being less than the absoluteConvergence squared.
  - bl
```
protected double[] bl
```
    DOCUMENT ME!
  - bounds
```
protected int bounds
```
    integer scalar code for assessing the bounds bounds = 0 means an unconstrained problem bounds = 1 means the same lower bounds for all unknowns and the same upper bounds for all unknowns. The lower and upper bound must be stored in bl[0] and bu[0] respectively. bounds = 2 means that the bounds must be supplied by the user in bl[i] and bu[i] for i = 0,1, param - 1.
  - bu
```
protected double[] bu
```
    DOCUMENT ME!
  - jacobian
```
protected double[][] jacobian
```
    2D array of doubles of dimension nPts by max(4,param) containing the main part of the covariance matrix (Jtranspose * J)inverse, where J is the Jacobian matrix computed at a.
  - ctrlMat
```
protected int[] ctrlMat
```
    Wrapper for ctrl or lctrl communication with driver.
  - dyda
```
protected double[] dyda
```
    DOCUMENT ME!
  - stdv
```
protected double stdv
```
    DOCUMENT ME!
  - gues
```
protected double[] gues
```
    DOCUMENT ME!
  - internalScaling
```
protected boolean internalScaling
```
    If true, the columns of the Jacobian are scaled to have unit length. If false, internal scaling is not used to compute the Gauss-Newton search direction.
  - iters
```
protected int iters
```
    integer scalar containing the number of iterations until termination.
  - maxIterations
```
protected int maxIterations
```
    DOCUMENT ME!
  - nPts
```
protected int nPts
```
    integer scalar containing the number of data points.
  - param
```
protected int param
```
    variables integer scalar containing the number of unknowns.
  - parameterConvergence
```
protected double parameterConvergence
```
    parameter convergence constant Used to test for convergence by the relative change in a[] being less than the parameterConvergence.
  - relativeConvergence
```
protected double relativeConvergence
```
    relative convergence constant Used to test for convergence by reduction in objective function being less than relativeConvergence squared.
  - residuals
```
protected double[] residuals
```
    1D array of doubles of dimension nPts containing the value of the residuals at the termination point a;.
  - secondAllowed
```
protected boolean secondAllowed
```
    The method of Newton is allowed at the end of the iteration in some situations (large residuals). If true, the use of second derivatives is permitted
  - tolerance
```
protected double tolerance
```
    pseudo rank tolerance constant used to determine the pseudo rank of the Jacobian J.
  - xSeries
```
private double[] xSeries
```
    DOCUMENT ME!
  - ySeries
```
private double[] ySeries
```
    DOCUMENT ME!
  - aDiff
```
private double aDiff
```
    DOCUMENT ME!
  - alfnoi
```
private double alfnoi
```
    DOCUMENT ME!
  - alpha
```
private double alpha
```
    DOCUMENT ME!
  - alphup
```
private double alphup
```
    DOCUMENT ME!
  - aset
```
private int[] aset
```
    1D integer array of length param containing a code which indicates whether an unknown is active or not aset[i] = 0 when a[i] is free = +1 when a[i] == bl[i] = -1 when a[i] == bu[i].
  - beta
```
private double beta
```
    scalar containing the norm of the orthogonal projection of residuals onto the space spanned by the columns of the Jacobian.
  - betkm2
```
private double betkm2
```
    DOCUMENT ME!
  - alfkm2
```
private double alfkm2
```
    DOCUMENT ME!
  - betkm1
```
private double betkm1
```
    DOCUMENT ME!
  - d1km1
```
private double d1km1
```
    DOCUMENT ME!
  - fsqkm1
```
private double fsqkm1
```
    DOCUMENT ME!
  - dxnkm1
```
private double dxnkm1
```
    DOCUMENT ME!
  - alfkm1
```
private double alfkm1
```
    DOCUMENT ME!
  - aupkm1
```
private double aupkm1
```
    DOCUMENT ME!
  - bn
```
private double bn
```
    DOCUMENT ME!
  - cnorm
```
private double cnorm
```
    DOCUMENT ME!
  - ctrl
```
private int ctrl
```
    ctrl can have 3 different values on entry. If ctrl = 1 or ctrl = -1, compute the residuals for all nPts at a certain point a and return the residuals = yfit - yseries in the array residuals if the functions are computable. If not successful and ctrl was set to 1, set ctrl = -1. If not successful and ctrl was set to -1, set ctrl
    
    d1sqs
    
    private double d1sqs
    
    scalar containing the predicted reduction in the objective function if gn-direction is used.
    
    diag
    
    private double[] diag
    
    1D double array of length param conatiaing the diagonal elements of the diagonal matrix D if internalScaling is true. Otherwise, undefined.
    
    dx
    
    private double[] dx
    
    double working areas 1D array of length param containing the solution of J * dx = -residuals.
    
    dxnorm
    
    private double dxnorm
    
    DOCUMENT ME!
    
    eps
    
    private double eps
    
    DOCUMENT ME!
    
    epsl
    
    private double epsl
    
    DOCUMENT ME!
    
    errorStatus
    
    private int errorStatus
    
    DOCUMENT ME!
    
    eval
    
    private int eval
    
    DOCUMENT ME!
    
    exitStatus
    
    private int exitStatus
    
    integer scalar that indicates why the return was taken. If exitStatus != -1 and exitStatus >= -10, then a[] contains the latest (best) estimate of the solution point. = 1000X convergence because relative predicted reduction in the objective function = (0.5 * chisquare) is less than (relativeConvergence)**2 = 200X convergence because sum of squares is less than (absoluteConvergence)**2 = 30X convergence because the relative change in a is less than parameterConvergence = 4X convergence because we are computing at noise level X, the last digit in the convergence code, indicates how the last steps were computed X = 0 no trouble (Gauss-Newton the last 3 steps) = 1 pseudoRank param at termination point = 2 The method of Newton was used (at least) in the last step = 3 The (last - 2) step was subspace minimization, but the last 2 steps were Gauss-Newton steps = 4 The steplength was not unit in both the last 2 steps
    
    fsum
    
    private double fsum
    
    DOCUMENT ME!
    
    funcEval
    
    private int funcEval
    
    integer scalar containing the total number of function evaluations done inside this routine.
    
    g
    
    private double[] g
    
    1D array of length param containing the gradient of the objective at the current point.
    
    gmat
    
    private double[][] gmat
    
    param by param array If secondAllowed if false, gmat can be used as a singly subscripted array of dimension param by setting all second indices to 0.
    
    gndok
    
    private boolean gndok
    
    DOCUMENT ME!
    
    gnorm
    
    private double gnorm
    
    scalar containing norm of the gradient divided by norm of Jacobian.
    
    icount
    
    private int icount
    
    Variables used for restart information.
    
    lattry
    
    private int lattry
    
    Variables used for restart information.
    
    itotal
    
    private int itotal
    
    Variables used for restart information.
    
    irank
    
    private int irank
    
    Variables used for restart information.
    
    imax
    
    private int imax
    
    Variables used for restart information.
    
    ival
    
    private int ival
    
    Variables used for restart information.
    
    iev
    
    private int iev
    
    DOCUMENT ME!
    
    ifree
    
    private int ifree
    
    DOCUMENT ME!
    
    indic
    
    private int indic
    
    DOCUMENT ME!
    
    info
    
    private int info
    
    Consistently use 1 base indexing rather than 0 based indexing
    
    jacobianEval
    
    private int jacobianEval
    
    integer scalar containing the number of function evaluations caused by computing Jacobians with difference methods.
    
    kod
    
    private int kod
    
    DOCUMENT ME!
    
    lineEval
    
    private int lineEval
    
    integer scalar containing the number of function evaluations caused by the linesearch algorithm.
    
    mdg
    
    private int mdg
    
    Leading dimension of array gmat mdg must be >= param if secondAllowed is true.
    
    noise
    
    private double noise
    
    DOCUMENT ME!
    
    constraintAct
    
    private int constraintAct
    
    Number of active constraints.
    
    pgb1
    
    private double pgb1
    
    DOCUMENT ME!
    
    pgb2
    
    private double pgb2
    
    DOCUMENT ME!
    
    phi
    
    private double phi
    
    double scalar containging the value of the objective function = (0.5 * chisquare) at the termination point a.
    
    phikp1
    
    private double phikp1
    
    DOCUMENT ME!
    
    philat
    
    private double philat
    
    DOCUMENT ME!
    
    bestpg
    
    private double bestpg
    
    DOCUMENT ME!
    
    pivit
    
    private int[] pivit
    
    array of integers of dimension param containing the permutation matrix E in the decomposition QTranspose * J * D E = (R) (0) pivit[i] contains the index of the column that was moved into column i.
    
    pMinrm
    
    private double pMinrm
    
    DOCUMENT ME!
    
    qMinrm
    
    private double qMinrm
    
    DOCUMENT ME!
    
    deltaMinrm
    
    private double deltaMinrm
    
    DOCUMENT ME!
    
    a1div3
    
    private double a1div3
    
    DOCUMENT ME!
    
    predb
    
    private double predb
    
    DOCUMENT ME!
    
    prekm1
    
    private double prekm1
    
    scalar containing the predicted reduction in the objective if pseudoRank from previous step is used.
    
    rabs
    
    private double rabs
    
    DOCUMENT ME!
    
    restart
    
    private boolean restart
    
    DOCUMENT ME!
    
    rlenb
    
    private double rlenb
    
    DOCUMENT ME!
    
    rmin
    
    private double rmin
    
    DOCUMENT ME!
    
    kodkm2
    
    private int kodkm2
    
    The suffices km2 and km1 in the names of the variables represent time step k-2 and k-1 respectively. These variables are updated only inside the routine evreuc.
    
    rngkm1
    
    private int rngkm1
    
    The suffices km2 and km1 in the names of the variables represent time step k-2 and k-1 respectively. These variables are updated only inside the routine evreuc.
    
    kodkm1
    
    private int kodkm1
    
    The suffices km2 and km1 in the names of the variables represent time step k-2 and k-1 respectively. These variables are updated only inside the routine evreuc.
    
    rootsp
    
    private double rootsp
    
    DOCUMENT ME!
    
    bl0
    
    private double bl0
    
    DOCUMENT ME!
    
    bu0
    
    private double bu0
    
    DOCUMENT ME!
    
    secind
    
    private int secind
    
    DOCUMENT ME!
    
    secondEval
    
    private int secondEval
    
    integer scalar containing the number of function evaluations caused by using second derivatives in the method of Newton.
    
    smax
    
    private double smax
    
    DOCUMENT ME!
    
    sn
    
    private double sn
    
    DOCUMENT ME!
    
    speed
    
    private double speed
    
    double scalar containing an estimate of the linear convergence factor.
    
    srelpr
    
    private double srelpr
    
    single relative precision.
    
    stepb
    
    private double stepb
    
    DOCUMENT ME!
    
    v
    
    private double[] v
    
    1D array of length nPts containing the orthogonal projection of residuals onto space spanned by the first pseudoRank linear independent columns of the Jacobian.
    
    v0norm
    
    private double v0norm
    
    DOCUMENT ME!
    
    v1norm
    
    private double v1norm
    
    DOCUMENT ME!
    
    v2norm
    
    private double v2norm
    
    DOCUMENT ME!
    
    scv0v1
    
    private double scv0v1
    
    DOCUMENT ME!
    
    scv0v2
    
    private double scv0v2
    
    DOCUMENT ME!
    
    scv1v2
    
    private double scv1v2
    
    DOCUMENT ME!
    
    w0
    
    private double[] w0
    
    DOCUMENT ME!
    
    w1
    
    private double[] w1
    
    DOCUMENT ME!
    
    w2
    
    private double[] w2
    
    DOCUMENT ME!
    
    w3
    
    private double[] w3
    
    DOCUMENT ME!
    
    x1Minrm
    
    private double x1Minrm
    
    DOCUMENT ME!
    
    x2Minrm
    
    private double x2Minrm
    
    DOCUMENT ME!
    
    x3Minrm
    
    private double x3Minrm
    
    DOCUMENT ME!
    
    sqrtem5
    
    private double sqrtem5
    
    p1sqrtem5
    
    private double p1sqrtem5
    
    exp0p1
    
    private double exp0p1
    
    sqrt5
    
    private double sqrt5
    
    sqrt10
    
    private double sqrt10
    
    expap1
    
    private double[] expap1
    
    outputMes
    
    protected boolean outputMes
    
    testMode
    
    private boolean testMode
    
    analyticalJacobian
    
    protected boolean analyticalJacobian
    
    testCase
    
    private int testCase
    
    DRAPER24D
    
    private final int DRAPER24D
    
    See Also:
    
    Constant Field Values
    
    ROSENBROCK
    
    private final int ROSENBROCK
    
    See Also:
    
    Constant Field Values
    
    FREUDENSTEIN_AND_ROTH
    
    private final int FREUDENSTEIN_AND_ROTH
    
    See Also:
    
    Constant Field Values
    
    POWELL_BADLY_SCALED
    
    private final int POWELL_BADLY_SCALED
    
    See Also:
    
    Constant Field Values
    
    BROWN_BADLY_SCALED
    
    private final int BROWN_BADLY_SCALED
    
    See Also:
    
    Constant Field Values
    
    BEALE
    
    private final int BEALE
    
    See Also:
    
    Constant Field Values
    
    JENNRICH_AND_SAMPSON
    
    private final int JENNRICH_AND_SAMPSON
    
    See Also:
    
    Constant Field Values
    
    HELICAL_VALLEY
    
    private final int HELICAL_VALLEY
    
    See Also:
    
    Constant Field Values
    
    GAUSSIAN
    
    private final int GAUSSIAN
    
    See Also:
    
    Constant Field Values
    
    BARD
    
    private final int BARD
    
    See Also:
    
    Constant Field Values
    
    MEYER
    
    private final int MEYER
    
    See Also:
    
    Constant Field Values
    
    GULF_RESEARCH_AND_DEVELOPMENT
    
    private final int GULF_RESEARCH_AND_DEVELOPMENT
    
    See Also:
    
    Constant Field Values
    
    BOX_3D
    
    private final int BOX_3D
    
    See Also:
    
    Constant Field Values
    
    POWELL_SINGULAR
    
    private final int POWELL_SINGULAR
    
    See Also:
    
    Constant Field Values
    
    WOOD
    
    private final int WOOD
    
    See Also:
    
    Constant Field Values
    
    KOWALIK_AND_OSBORNE
    
    private final int KOWALIK_AND_OSBORNE
    
    See Also:
    
    Constant Field Values
    
    BROWN_AND_DENNIS
    
    private final int BROWN_AND_DENNIS
    
    See Also:
    
    Constant Field Values
    
    OSBORNE1
    
    private final int OSBORNE1
    
    See Also:
    
    Constant Field Values
    
    BIGGS_EXP6
    
    private final int BIGGS_EXP6
    
    See Also:
    
    Constant Field Values
    
    OSBORNE2
    
    private final int OSBORNE2
    
    See Also:
    
    Constant Field Values
    
    WATSON
    
    private final int WATSON
    
    See Also:
    
    Constant Field Values
    
    EXTENDED_ROSENBROCK
    
    private final int EXTENDED_ROSENBROCK
    
    See Also:
    
    Constant Field Values
    
    EXTENDED_POWELL_SINGULAR
    
    private final int EXTENDED_POWELL_SINGULAR
    
    See Also:
    
    Constant Field Values
    
    PENALTY_FUNCTION_I
    
    private final int PENALTY_FUNCTION_I
    
    See Also:
    
    Constant Field Values
    
    PENALTY_FUNCTION_II
    
    private final int PENALTY_FUNCTION_II
    
    See Also:
    
    Constant Field Values
    
    VARIABLY_DIMENSIONED_FUNCTION
    
    private final int VARIABLY_DIMENSIONED_FUNCTION
    
    See Also:
    
    Constant Field Values
    
    TRIGONOMETRIC
    
    private final int TRIGONOMETRIC
    
    See Also:
    
    Constant Field Values
    
    BROWN_ALMOST_LINEAR
    
    private final int BROWN_ALMOST_LINEAR
    
    See Also:
    
    Constant Field Values
    
    DISCRETE_BOUNDARY_VALUE
    
    private final int DISCRETE_BOUNDARY_VALUE
    
    See Also:
    
    Constant Field Values
    
    DISCRETE_INTEGRAL
    
    private final int DISCRETE_INTEGRAL
    
    See Also:
    
    Constant Field Values
    
    BROYDEN_TRIDIAGONAL
    
    private final int BROYDEN_TRIDIAGONAL
    
    See Also:
    
    Constant Field Values
    
    BROYDEN_BANDED
    
    private final int BROYDEN_BANDED
    
    See Also:
    
    Constant Field Values
    
    LINEAR_FULL_RANK
    
    private final int LINEAR_FULL_RANK
    
    See Also:
    
    Constant Field Values
    
    LINEAR_RANK1
    
    private final int LINEAR_RANK1
    
    See Also:
    
    Constant Field Values
    
    LINEAR_RANK1_WITH_ZERO_COLUMNS_AND_ROWS
    
    private final int LINEAR_RANK1_WITH_ZERO_COLUMNS_AND_ROWS
    
    See Also:
    
    Constant Field Values
    
    CHEBYQUAD
    
    private final int CHEBYQUAD
    
    See Also:
    
    Constant Field Values
    
    HOCK25
    
    private final int HOCK25
    
    See Also:
    
    Constant Field Values
    
    LEVMAR_ROSENBROCK
    
    private final int LEVMAR_ROSENBROCK
    
    See Also:
    
    Constant Field Values
    
    MODIFIED_ROSENBROCK
    
    private final int MODIFIED_ROSENBROCK
    
    See Also:
    
    Constant Field Values
    
    POWELL_2_PARAMETER
    
    private final int POWELL_2_PARAMETER
    
    See Also:
    
    Constant Field Values
    
    HOCK1
    
    private final int HOCK1
    
    See Also:
    
    Constant Field Values
    
    HOCK21_MODIFIED
    
    private final int HOCK21_MODIFIED
    
    See Also:
    
    Constant Field Values
    
    HATFLDB
    
    private final int HATFLDB
    
    See Also:
    
    Constant Field Values
    
    HATFLDC
    
    private final int HATFLDC
    
    See Also:
    
    Constant Field Values
    
    EQUILIBRIUM_COMBUSTION
    
    private final int EQUILIBRIUM_COMBUSTION
    
    See Also:
    
    Constant Field Values
    
    MADSEN
    
    private final int MADSEN
    
    See Also:
    
    Constant Field Values
    
    HOCK3
    
    private final int HOCK3
    
    See Also:
    
    Constant Field Values
    
    HOCK4
    
    private final int HOCK4
    
    See Also:
    
    Constant Field Values
    
    CERES_CURVE_FITTING
    
    private final int CERES_CURVE_FITTING
    
    See Also:
    
    Constant Field Values
    
    Constructor Detail
    
    NLConstrainedEngine
    
    public NLConstrainedEngine()
    
    NLConstrainedEngine
    
    public NLConstrainedEngine(int nPts, int param)
    
    NLConstrainedEngine - non-linear fit to a function.
    
    Parameters:
    
    nPts - number of points to fit to the function to
    
    param - number of parameters of function
    
    xSeries - DOCUMENT ME!
    
    yData - DOCUMENT ME!
    
    Method Detail
    
    fitTestModel
    
    private void fitTestModel()
    
    Creates a new Fit24DModel object.
    
    Parameters:
    
    nPoints - DOCUMENT ME!
    
    xData - DOCUMENT ME!
    
    yData - DOCUMENT ME!
    
    initial - DOCUMENT ME!
    
    fitToTestFunction
    
    public void fitToTestFunction(double[] a, double[] residuals, double[][] jacobian)
    
    shiftedChebyshev
    
    private double shiftedChebyshev(double x, int n)
    
    shiftedChebyshevDerivative
    
    private double shiftedChebyshevDerivative(double x, int n)
    
    dumpTestResults
    
    public void dumpTestResults()
    
    driverCalls
    
    private void driverCalls()
    
    fitToFunction
    
    public abstract void fitToFunction(double[] a, double[] residuals, double[][] jacobian)
    
    fitToFunction communicates with 3 protected variables param, nPts, and ctrlMat ctrlMat is used as a wrapper for ctrl or lctrl. Evaluates the residuals or the Jacobian at a certain a[]
    
    Parameters:
    
    a - DOCUMENT ME!
    
    residuals - DOCUMENT ME!
    
    jacobian - DOCUMENT ME!
    
    driver
    
    public void driver()
    
    driver.
    
    getChiSquared
    
    public double getChiSquared()
    
    getChiSquared - accessor to chi-squared value (goodness-of-fit measure).
    
    Returns:
    
    the value of chi squared
    
    getIterations
    
    public int getIterations()
    
    getParameters
    
    public double[] getParameters()
    
    getParameters accessor to function parameters.
    
    Returns:
    
    the function parameters determined by the algorithm
    
    getResiduals
    
    public double[] getResiduals()
    
    DOCUMENT ME!
    
    Returns:
    
    double[] residuals
    
    getExitStatus
    
    public int getExitStatus()
    
    statusMessage
    
    public void statusMessage(int status)
    
    analuc
    
    private void analuc(int[] prank)
    
    DOCUMENT ME!
    
    btrunc
    
    private void btrunc(int[] prank, boolean internalScaling, double[] work)
    
    DOCUMENT ME!
    
    Parameters:
    
    internalScaling - DOCUMENT ME!
    
    work - DOCUMENT ME!
    
    chder
    
    private void chder(double dphize, int[] k, double[] alfk, double[] phik)
    
    DOCUMENT ME!
    
    Parameters:
    
    dphize - DOCUMENT ME!
    
    choose
    
    private void choose(double xmin, double[] v2, double[] root1, double[] root2, double[] proot2)
    
    DOCUMENT ME!
    
    Parameters:
    
    xmin - DOCUMENT ME!
    
    v2 - DOCUMENT ME!
    
    covar
    
    private void covar()
    
    DOCUMENT ME!
    
    dimsub
    
    private void dimsub(int[] prank, int[] rank)
    
    DOCUMENT ME!
    
    dnrm2
    
    private double dnrm2(int n, double[] x, int incx)
    
    DOCUMENT ME!
    
    Parameters:
    
    n - DOCUMENT ME!
    
    x - DOCUMENT ME!
    
    incx - DOCUMENT ME!
    
    Returns:
    
    DOCUMENT ME!
    
    evreuc
    
    private void evreuc(int[] prank)
    
    DOCUMENT ME!
    
    fsumsq
    
    private void fsumsq(double alfk, double[] xnew, double[] fnew, double[] fn_val, int[] ctrl)
    
    DOCUMENT ME!
    
    Parameters:
    
    alfk - DOCUMENT ME!
    
    xnew - DOCUMENT ME!
    
    fnew - DOCUMENT ME!
    
    phiMat - DOCUMENT ME!
    
    gauc
    
    private void gauc(int[] k, double alfmin, double[] gmod, double dphize, double[] u, double[] phiu, double tau, double pmax)
    
    DOCUMENT ME!
    
    Parameters:
    
    gmod - DOCUMENT ME!
    
    dphize - DOCUMENT ME!
    
    tau - DOCUMENT ME!
    
    pmax - DOCUMENT ME!
    
    gnavuc
    
    private void gnavuc()
    
    DOCUMENT ME!
    
    gndunc
    
    private double gndunc(boolean internalScaling, int[] prank, double[] work)
    
    DOCUMENT ME!
    
    Parameters:
    
    internalScaling - DOCUMENT ME!
    
    pseudoRankMat - DOCUMENT ME!
    
    work - DOCUMENT ME!
    
    Returns:
    
    DOCUMENT ME!
    
    hess
    
    private void hess()
    
    DOCUMENT ME!
    
    jacdif
    
    private void jacdif(int[] ctrl)
    
    DOCUMENT ME!
    
    jtrj
    
    private void jtrj(int nn)
    
    DOCUMENT ME!
    
    Parameters:
    
    nn - DOCUMENT ME!
    
    lineuc
    
    private void lineuc(double[] gmod, double dphize, double alplow)
    
    DOCUMENT ME!
    
    Parameters:
    
    gmod - DOCUMENT ME!
    
    dphize - DOCUMENT ME!
    
    alplow - DOCUMENT ME!
    
    linuc2
    
    private void linuc2(double[] fnew, double alfk, double[] v2)
    
    DOCUMENT ME!
    
    Parameters:
    
    fnew - DOCUMENT ME!
    
    v2 - DOCUMENT ME!
    
    lsunc
    
    private void lsunc()
    
    DOCUMENT ME!
    
    minrm
    
    private void minrm(double[] v2, double alfmin, double alfmax, double xmin, double[] x, double[] px, double[] y, double[] py)
    
    DOCUMENT ME!
    
    Parameters:
    
    v2 - DOCUMENT ME!
    
    xmin - DOCUMENT ME!
    
    minrm1
    
    private void minrm1(double[] v2)
    
    DOCUMENT ME!
    
    Parameters:
    
    v2 - DOCUMENT ME!
    
    minrm2
    
    private void minrm2()
    
    DOCUMENT ME!
    
    minrn
    
    private void minrn(double x, double fx, double w, double fw, double v, double fv, double alfmin, double alfmax, double pmax, double[] u, double[] pu)
    
    DOCUMENT ME!
    
    Parameters:
    
    phikm2 - DOCUMENT ME!
    
    pmax - DOCUMENT ME!
    
    newunc
    
    private void newunc()
    
    DOCUMENT ME!
    
    oner
    
    private void oner(double[] x)
    
    DOCUMENT ME!
    
    outuc
    
    private void outuc()
    
    DOCUMENT ME!
    
    pivec
    
    private void pivec(double[] work)
    
    DOCUMENT ME!
    
    Parameters:
    
    work - DOCUMENT ME!
    
    pol3
    
    private double pol3(double x)
    
    DOCUMENT ME!
    
    Parameters:
    
    x - DOCUMENT ME!
    
    Returns:
    
    DOCUMENT ME!
    
    pol4
    
    private double pol4(double[] v2, double x)
    
    DOCUMENT ME!
    
    Parameters:
    
    v2 - DOCUMENT ME!
    
    x - DOCUMENT ME!
    
    Returns:
    
    DOCUMENT ME!
    
    pregn
    
    private void pregn(double[] work, int mindim, int[] prank, int[] dim)
    
    DOCUMENT ME!
    
    Parameters:
    
    work - DOCUMENT ME!
    
    mindim - DOCUMENT ME!
    
    presub
    
    private void presub(double[] work, int[] prank, int[] rank)
    
    DOCUMENT ME!
    
    Parameters:
    
    work - DOCUMENT ME!
    
    quamin
    
    private void quamin(double x, double fx, double w, double fw, double v, double fv, double[] u)
    
    DOCUMENT ME!
    
    Parameters:
    
    phikm2 - DOCUMENT ME!
    
    reavuc
    
    private void reavuc()
    
    DOCUMENT ME!
    
    reduc
    
    private void reduc(double[] alf, double[] phialf, double alfk, double pk, double diff, double eta, double[] gmod, double[] fnew, int[] k, double[] phik, boolean[] reduce)
    
    DOCUMENT ME!
    
    Parameters:
    
    pk - DOCUMENT ME!
    
    eta - DOCUMENT ME!
    
    gmod - DOCUMENT ME!
    
    fnew - DOCUMENT ME!
    
    releps
    
    private void releps()
    
    DOCUMENT ME!
    
    rtrw1
    
    private void rtrw1(int nn)
    
    DOCUMENT ME!
    
    Parameters:
    
    nn - DOCUMENT ME!
    
    scalv
    
    private void scalv(double[] v, double factor, int n)
    
    DOCUMENT ME!
    
    Parameters:
    
    v - DOCUMENT ME!
    
    factor - DOCUMENT ME!
    
    n - DOCUMENT ME!
    
    scaunc
    
    private void scaunc()
    
    DOCUMENT ME!
    
    schdc
    
    private void schdc(int nn, int[] jpvt, int job)
    
    DOCUMENT ME!
    
    Parameters:
    
    nn - DOCUMENT ME!
    
    jpvt - DOCUMENT ME!
    
    job - DOCUMENT ME!
    
    secuc
    
    private void secuc()
    
    DOCUMENT ME!
    
    soliuc
    
    private void soliuc(double tau, int[] prank)
    
    DOCUMENT ME!
    
    Parameters:
    
    tau - DOCUMENT ME!
    
    sposl
    
    private void sposl(int nn)
    
    DOCUMENT ME!
    
    Parameters:
    
    nn - DOCUMENT ME!
    
    sqrdc
    
    private void sqrdc(double[][] x, int n, int p, double[] qraux, int[] jpvt, int job)
    
    DOCUMENT ME!
    
    Parameters:
    
    x - DOCUMENT ME!
    
    n - DOCUMENT ME!
    
    p - DOCUMENT ME!
    
    qraux - DOCUMENT ME!
    
    jpvt - DOCUMENT ME!
    
    job - DOCUMENT ME!
    
    sqrsl
    
    private void sqrsl(double[][] x, int n, int k, double[] qraux, double[] y, double[] qy, double[] qty, double[] b, double[] rsd, double[] xb, int job)
    
    DOCUMENT ME!
    
    Parameters:
    
    x - DOCUMENT ME!
    
    n - DOCUMENT ME!
    
    k - DOCUMENT ME!
    
    qraux - DOCUMENT ME!
    
    y - DOCUMENT ME!
    
    qy - DOCUMENT ME!
    
    qty - DOCUMENT ME!
    
    b - DOCUMENT ME!
    
    rsd - DOCUMENT ME!
    
    xb - DOCUMENT ME!
    
    job - DOCUMENT ME!
    
    stepuc
    
    private void stepuc(int[] prank)
    
    DOCUMENT ME!
    
    strsl
    
    private void strsl(int[] prank, double[] b)
    
    DOCUMENT ME!
    
    Parameters:
    
    b - DOCUMENT ME!
    
    subuc
    
    private void subuc(int[] prank, int[] rank)
    
    DOCUMENT ME!
    
    termuc
    
    private void termuc(int[] prank, double aNorm)
    
    DOCUMENT ME!
    
    Parameters:
    
    aNorm - DOCUMENT ME!
    
    triunc
    
    private void triunc(double tol, int constraintAct, int[] prank)
    
    DOCUMENT ME!
    
    Parameters:
    
    tol - DOCUMENT ME!
    
    constraintAct - DOCUMENT ME!
    
    twor
    
    private void twor()
    
    DOCUMENT ME!
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Constructor	Description
`NLConstrainedEngine()`
`NLConstrainedEngine(int nPts, int param)`	NLConstrainedEngine - non-linear fit to a function.

Class NLConstrainedEngine

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

big

a

absoluteConvergence

bl

bounds

bu

jacobian

ctrlMat

dyda

stdv

gues

internalScaling

iters

maxIterations

nPts

param

parameterConvergence

relativeConvergence

residuals

secondAllowed

tolerance

xSeries

ySeries

aDiff

alfnoi

alpha

alphup

aset

beta

betkm2

alfkm2

betkm1

d1km1

fsqkm1

dxnkm1

alfkm1

aupkm1

bn

cnorm

ctrl

d1sqs

diag

dx

dxnorm

eps

epsl

errorStatus

eval

exitStatus

fsum

funcEval

g

gmat

gndok

gnorm

icount

lattry

itotal

irank

imax

ival

iev

ifree

indic

info

jacobianEval

kod

lineEval

mdg

noise

constraintAct

pgb1

pgb2

phi