/**
 * ParameterSpace — Generate config variants for parameter sweeps.
 *
 * Supports:
 *   - Grid search (full factorial): every combination of parameter values
 *   - Latin Hypercube Sampling (LHS): space-filling random sampling
 *
 * Each sample is a set of overrides that can be deep-merged into a base config.
 *
 * @see ExperimentOrchestrator — consumes the samples this module produces
 */
export interface ParameterRange {
    /** Dot-path into the config object (e.g., "material.youngs_modulus") */
    path: string;
    /** Explicit values to sweep (takes priority over min/max/steps) */
    values?: number[];
    /** Range mode: min value */
    min?: number;
    /** Range mode: max value */
    max?: number;
    /** Range mode: number of evenly-spaced steps (inclusive of endpoints) */
    steps?: number;
}
export interface ParameterSample {
    /** Index in the sweep */
    index: number;
    /** Parameter overrides: path → value */
    overrides: Map<string, number>;
}
export declare class ParameterSpace {
    private ranges;
    private resolvedValues;
    constructor(ranges: ParameterRange[]);
    /** Total number of grid-search samples (product of all range sizes). */
    get gridSize(): number;
    /** Number of parameters being swept. */
    get dimensions(): number;
    /**
     * Full factorial grid search.
     * Returns every combination of parameter values.
     */
    gridSearch(): ParameterSample[];
    /**
     * Latin Hypercube Sampling.
     * Generates n space-filling samples across the parameter space.
     * Each parameter range is divided into n equal strata; each stratum
     * is sampled exactly once, with random permutation across dimensions.
     */
    latinHypercube(n: number, seed?: number): ParameterSample[];
}
/**
 * Deep-merge parameter overrides into a base config.
 * Supports dot-path notation: "material.youngs_modulus" → config.material.youngs_modulus
 */
export declare function applyOverrides<T extends Record<string, unknown>>(base: T, overrides: Map<string, number>): T;
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