import * as tf from '../backend/adapter';
/**
 * Cyclic sweeps guarantee convergence; adaptive threshold reduction avoids wasted
 * iterations once off-diagonal elements are already small. With `is_psd: true`,
 * tiny negative eigenvalues produced by floating-point error are clamped to zero —
 * appropriate for graph Laplacians where exact zeros represent connected components.
 */
export declare function improved_jacobi_eigen(matrix: tf.Tensor2D, { max_iterations, tolerance, is_psd, }?: {
    max_iterations?: number;
    tolerance?: number;
    is_psd?: boolean;
}): {
    eigenvalues: number[];
    eigenvectors: number[][];
};