numopt-js
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    Function finiteDiffPartialP

    • Computes the partial derivative of a constrained cost function with respect to parameters. Uses central difference method while keeping states fixed.

      Formula: ∂f/∂p_i ≈ (f(p+h·e_i, x) - f(p-h·e_i, x)) / (2h)

      Parameters

      • parameters: Float64Array

        Parameter vector p

      • states: Float64Array

        State vector x (kept fixed)

      • costFunction: ConstrainedCostFn

        Constrained cost function f(p, x)

      • options: NumericalDifferentiationOptions = {}

        Optional numerical differentiation settings

      Returns Float64Array

      Gradient vector ∂f/∂p