/**
 * Find the k factor for a pseudo-Voigt distribution such that the
 * cumulative probability pPseudoVoigt(k, mu) equals `pTarget`.
 *
 * Uses a simple bisection search (with exponential bracketing) to
 * invert the pseudo-Voigt cumulative function. Special cases:
 * - mu === 1 -> reduces to the gaussian case
 * - mu === 0 -> reduces to the lorentzian case
 * @param pTarget - Target cumulative probability in (0,1)
 * @param mu - Gaussian fraction in [0,1]
 * @param tol - Convergence tolerance
 * @param maxIter - Maximum number of bisection iterations
 * @returns the factor k such that pPseudoVoigt(k, mu) ~= pTarget
 */
export declare function pseudoVoigtFindFactor(pTarget: number, mu: number, tol?: number, maxIter?: number): number;
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