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@stdlib/stats-base-dists-normal-entropy

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Normal distribution differential entropy.

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/* * @license Apache-2.0 * * Copyright (c) 2019 The Stdlib Authors. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ // TypeScript Version: 4.1 /** * Returns the differential entropy for a normal distribution with mean `mu` and standard deviation `sigma`. * * ## Notes * * - If provided `sigma <= 0`, the function returns `NaN`. * * @param mu - mean * @param sigma - standard deviation * @returns entropy * * @example * var y = entropy( 0.0, 1.0 ); * // returns ~1.419 * * @example * var y = entropy( 5.0, 3.0 ); * // returns ~2.518 * * @example * var y = entropy( NaN, 1.0 ); * // returns NaN * * @example * var y = entropy( 0.0, NaN ); * // returns NaN * * @example * var y = entropy( 0.0, 0.0 ); * // returns NaN */ declare function entropy( mu: number, sigma: number ): number; // EXPORTS // export = entropy;