/**
 * Minimal linear algebra utilities. Row-major Float64Array layout throughout.
 * Shape is carried alongside as a tuple [rows, cols] for matrices.
 */
export type Mat = {
    data: Float64Array;
    rows: number;
    cols: number;
};
export declare function mat(rows: number, cols: number, init?: ArrayLike<number>): Mat;
export declare function transpose(m: Mat): Mat;
/** Returns A @ B. Shapes (a, b) @ (b, c) -> (a, c). */
export declare function matmul(a: Mat, b: Mat): Mat;
export declare function l2NormalizeRows(m: Mat): Mat;
/** Row-wise add of vector v (length cols) into m. Returns new matrix. */
export declare function addRowVector(m: Mat, v: Float64Array, sign?: 1 | -1): Mat;
export declare function elementwiseMulRow(m: Mat, v: Float64Array): Mat;
export declare function rowSquareSum(m: Mat): Float64Array;
/** Sum along axis 0 (returns vector of length cols). */
export declare function colSum(m: Mat): Float64Array;
export declare function fromRows(rows: ArrayLike<number>[]): Mat;
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