NonlinLeastSquares Constructor | Creates an object to solve a nonlinear least squares problem. |
AbsoluteTolerance | The absolute function tolerance. |
Digits | The number of good digits in the function. |
ErrorStatus | Get information about the performance of NonlinLeastSquares. |
FalseConvergenceTolerance | The false convergence tolerance. |
GradientTolerance | The gradient tolerance used to compute the gradient. |
InitialTrustRegion | The initial trust region radius. |
MaximumIterations | The maximum number of iterations allowed. |
MaximumStepsize | The maximum allowable stepsize to use. |
RelativeTolerance | The relative function tolerance. |
StepTolerance | The step tolerance used to step between two points. |
Equals (inherited from Object) | Determines whether the specified Object is equal to the current Object. |
GetHashCode (inherited from Object) | Serves as a hash function for a particular type, suitable for use in hashing algorithms and data structures like a hash table. |
GetType (inherited from Object) | Gets the Type of the current instance. |
SetFscale | Sets the diagonal scaling matrix for the functions. |
SetGuess | Sets the initial guess of the minimum point of the input function. |
SetXscale | Set the diagonal scaling matrix for the variables. |
Solve | Solve a nonlinear least-squares problem using a modified Levenberg-Marquardt algorithm and a Jacobian. |
ToString (inherited from Object) | Returns a String that represents the current Object. |
Finalize (inherited from Object) | Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection. |
MemberwiseClone (inherited from Object) | Creates a shallow copy of the current Object. |
NonlinLeastSquares Class | Imsl.Math Namespace | Finite Differences Example | Jacobian Example