/**
 * Normalized graph Laplacian of a dense weight matrix.
 *
 * @param {number[][]|Float64Array[]|{flat: ArrayLike<number>, n: number}} W
 *   Weight/adjacency matrix as a 2D array of rows, or `{ flat, n }` (row-major).
 * @param {object} [opts]
 * @param {boolean} [opts.normed=true] When `true`, returns the symmetric
 *   normalized Laplacian `I − D^{-1/2} W D^{-1/2}`. When `false`, returns the
 *   combinatorial Laplacian `D − W` (both with scipy's zeroed-diagonal degrees).
 * @returns {number[][]} The n×n Laplacian as an array of Float64Array rows.
 */
export function laplacian(W: number[][] | Float64Array[] | {
    flat: ArrayLike<number>;
    n: number;
}, { normed }?: {
    normed?: boolean;
}): number[][];