It describes the local curvature of a function of many variables. The Hessian matrix was developed in the 19th century by the German mathematician Ludwig Otto ... Jacobian matrix and determinant · Del squared · Otto Hesse |
| Гессиан функции |  |
Гессиан функции — симметрическая квадратичная форма, описывающая поведение функции во втором порядке.
Для функции, дважды дифференцируемой в точке
или
где и функция задана на -мерном вещественном пространстве с координатами. Википедия
The Hessian matrix of a multivariable function, which different authors write as H ( f ), H f , or H f, organizes all second partial derivatives into a matrix. |
The Hessian Matrix is a square matrix of second ordered partial derivatives of a scalar function. It is of immense use in linear algebra as well as for ... |
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16 мар. 2022 г. · Hessian matrices belong to a class of mathematical structures that involve second order derivatives. They are often used in machine learning ... |
The Hessian matrix is a square matrix formed with the second-order partial derivatives describing the local curvature of a function composed of many variables. |
The Hessian matrix is the matrix formed by all the second derivatives of a multivariable function. For a function of n variables, the Hessian matrix is an n x n ... |
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