numopt-js
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    Interface ConstrainedGaussNewtonResult

    Result returned by constrained Gauss-Newton algorithm.

    interface ConstrainedGaussNewtonResult {
        converged: boolean;
        finalConstraintNorm?: number;
        finalCost: number;
        finalGradientNorm?: number;
        finalParameters: Float64Array;
        finalResidualNorm?: number;
        finalStates: Float64Array;
        iterations: number;
        parameters: Float64Array;
    }

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    converged finalConstraintNorm? finalCost finalGradientNorm? finalParameters finalResidualNorm? finalStates iterations parameters

    Properties

    converged: boolean

    Whether the algorithm converged successfully.

    finalConstraintNorm?: number

    Final constraint violation norm ||c(p, x)||.

    finalCost: number

    Final cost (objective function value).

    finalGradientNorm?: number

    Final gradient norm (if applicable).

    finalParameters: Float64Array

    Final optimized parameter vector.

    finalResidualNorm?: number

    Final residual norm (for least squares problems). Available for algorithms that work with residual functions.

    finalStates: Float64Array

    Final state vector (satisfies constraint c(p, x) = 0).

    iterations: number

    Number of iterations performed.

    parameters: Float64Array

    Final optimized parameter vector.

    Use finalParameters instead. This alias will be removed in a future release.

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