This section describes routines that compute the Jacobi matrix using central differences. Jacobi matrix calculation is required to solve a nonlinear least squares problem and systems of nonlinear equations (with or without linear bound constraints). Routines for calculation of the Jacobi matrix have the "Black-Box" interfaces, where you pass the objective function via parameters. Note that in this case your objective function must have a fixed interface.
Routine Name |
Operation |
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Initializes the solver. |
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Computes the Jacobi matrix of the function on the basis of RCI using the central difference. |
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Removes data. |
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Computes the Jacobi matrix of the fcn function using the central difference. |
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Presents an alternative interface for the ?jacobi function enabling the user to pass additional data into the user's function. |
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