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Data Structures |
struct | Model |
Functions |
void | initializeModel (Model *model, int X, int Y, int M, int Z) |
void | initializeOutputModel (Model *model, MAP_DEPTH_MATRIX kernelTdm) |
void | initializeForwardOutputModel (Model *model, MAP_DEPTH_MATRIX kernelTdm) |
void | setParameters (Model *model, double mu, double sigma) |
void | setParameters2 (Model *model, double *values, int nValues) |
void | clearParameters (Model *model) |
void | saveW (Model *model, MATRIX w, int kx, int ky) |
void | saveB (Model *model, MATRIX b, int nStep) |
void | saveGridValues (Model *m, int r, int c, double kx, double ky, double lambda) |
void | calculateQ (Model *model, MAP_DEPTH_MATRIX tau) |
void | calculateDerivedValues (Model *model, MAP_DEPTH_MATRIX K, MAP_DEPTH_MATRIX tau, MAP_DEPTH_MATRIX Lambda, BOOLEAN DValueShift) |
void | writeQ (Model *model, BaseDirectory *baseName) |
void | writeW (Model *model, BaseDirectory *baseName) |
void | writeAvgKern (Model *model, BaseDirectory *baseName) |
void | writeBVectors1d (Model *model, BaseDirectory *baseName) |
void | writeAVectors1d (Model *model, BaseDirectory *baseName, double lambda) |
void | writeCovVectors1d (Model *model, BaseDirectory *baseName, double lambda) |
void | writeNoise (Model *model, BaseDirectory *baseName) |
void | writeDTildaValues3d (Model *model, BaseDirectory *baseName, BOOLEAN useFT) |
void | writeAvgKernValues3d (Model *model, BaseDirectory *baseName) |
void | writeGridValues3d (Model *model, BaseDirectory *baseName) |
void | writeBVectors3d (Model *model, BaseDirectory *baseName) |
void | freeModel (Model *model) |
Function Documentation
Calculate q, Averaging Kernel and noise squared.
- Parameters:
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[in] | model | A Model object. |
[in] | K | Kernel matrix |
[in] | tau | Travel-map matrix |
[in] | Lambda | Travel-map noise covariance matrix |
[in] | DValueShift | Boolean indicating whether to shift output matrices q, and averaging kernel, and noise. |
void clearParameters |
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Model * |
model |
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Clear parameter values (mu and sigma) in the model. Output FITS files will not have sigma and mu parameters in the header.
- Parameters:
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[in,out] | model | A Model object. |
void freeModel |
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Model * |
model |
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Free all memory associated with outputModel.
Initialize output model for use by forward calculation
- Parameters:
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[in,out] | model | Pointer to Model structure |
[in] | kernelTdm | Matrix containing 3D Kernel. |
void initializeModel |
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Model * |
model, |
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int |
X, |
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int |
Y, |
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int |
M, |
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int |
Z | |
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) |
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Initialize Model object, allocate space for data and constant values. Use for OLA inversions.
- Parameters:
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[in,out] | model | Initialize this Model. |
[in] | X | Number of grid points, Nx |
[in] | Y | Number of grid points, Ny |
[in] | M | Number of measurements |
[in] | Z | Number of grid points, Nz |
Initialize output model for use by RLS inversion
- Parameters:
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[in,out] | model | Pointer to Model structure |
[in] | kernelTdm | Matrix containing 3D RLS Kernel. |
Save inversion solution, b, for RLS 1D.
- Parameters:
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[in,out] | model | A Model object. |
[in] | b | Solution matrix. |
[in] | nStep | Parameter step number. |
void saveGridValues |
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Model * |
m, |
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int |
r, |
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int |
c, |
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double |
kx, |
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double |
ky, |
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double |
lambda | |
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Save lambda values and kx, ky values for each wave number (RLS 3D inversion).
- Parameters:
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[in,out] | m | A Model object. |
[in] | r | Row (index into matrix). |
[in] | c | Column (index into matrix). |
[in] | kx | Value of kx at (x,y) |
[in] | ky | Value of ky at (x,y) |
[in] | lambda | Value of lambda (regularization) parameter. |
Save inversion weights, w, for wave number, kx, ky.
- Parameters:
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[in,out] | model | A Model object. |
[in] | w | Inversion weights. |
[in] | kx | X-index in Fourier space. |
[in] | ky | Y-index in Fourier space. |
void setParameters |
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Model * |
model, |
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double |
mu, |
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double |
sigma | |
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Record parameter values in the model.
- Parameters:
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[in,out] | model | A Model object. |
[in] | mu | Value for mu parameter. |
[in] | sigma | Value for sigma parameter. |
void setParameters2 |
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Model * |
model, |
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double * |
values, |
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int |
nValues | |
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) |
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Record multiple parameter values in the model.
- Parameters:
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[in,out] | model | A Model object. |
[in] | values | Pointer to array of parameter values. NOTE: there is a special ordering to the parameters, mu, sigma, then nu (which is optional). |
[in] | nValues | How many parameter values. |
Write the Averaging Kernel data for 1d problem.
- Parameters:
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[in] | model | The OutputModel containing the Averaging Kernel. |
[in] | baseName | BaseDirectory structure for managing output file name. |
[in] | lambda | Which lambda value was used for this solution. |
Write averaging kernel to file for OLA inversion.
- Parameters:
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[in,out] | model | A Model object. |
[in] | baseName | BaseDirectory structure for managing output file name. |
Write averaging kernels and error covariance matrices for RLS 3D inversion.
- Parameters:
-
[in,out] | model | A Model object. |
[in] | baseName | BaseDirectory structure for managing output file name. |
Write solution matrix for RLS 1D inversion.
- Parameters:
-
[in,out] | model | A Model object. |
[in] | baseName | BaseDirectory structure for managing output file name. |
Write solution B vectors to FITS files matrix for RLS 3D inversion.
- Parameters:
-
[in,out] | model | A Model object. |
[in] | baseName | BaseDirectory structure for managing output file name. |
Write the Error Covariance data for 1d problem.
- Parameters:
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[in] | model | Model structure containing the Error Covariance. |
[in] | baseName | Which lambda step was used for this solution. |
[in] | lambda | Which lambda value was used for this solution. |
Write d~ matrices for RLS 3D inversion.
- Parameters:
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[in,out] | model | A Model object. |
[in] | baseName | BaseDirectory structure for managing output file name. |
[in] | useFT | Boolean indicates if d~ matrices should be Fourier transformed. |
Write lambda values and kx, ky values for each wave number (RLS 3D inversion). Write kxGridValues, kyGridValues and lambdaGridValues at each grid point to FITS files matrix for RLS 3D inversion.
- Parameters:
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[in,out] | model | A Model object. |
[in] | baseName | BaseDirectory structure for managing output file name. |
Write noise estimate to file for OLA inversion.
- Parameters:
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[in,out] | model | A Model object. |
[in] | baseName | BaseDirectory structure for managing output file name. |
Write solution, q, for OLA inversion.
- Parameters:
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[in,out] | model | A Model object. |
[in] | baseName | BaseDirectory structure for managing output file name. |
Write OLA inversion weights, w, to file.
- Parameters:
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[in,out] | model | A Model object. |
[in] | baseName | BaseDirectory structure for managing output file name. |