bordered hessian造句
例句與造句
- See Hessian matrix # Bordered Hessian for a discussion that generalizes these rules to the case of equality-constrained optimization.
- (A ) My confusion is that when I check the second-order condition via the bordered Hessian, I find that these are both local maxima.
- The second derivative test consists here of sign restrictions of the determinants of a certain set of " n m " submatrices of the bordered Hessian.
- Sufficient conditions for a constrained local maximum or minimum can be stated in terms of a sequence of principal minors ( determinants of upper-left-justified sub-matrices ) of the bordered Hessian matrix of second derivatives of the Lagrangian expression.
- The above rules stating that extrema are characterized ( among critical points with a non-singular Hessian ) by a positive-definite or negative-definite Hessian cannot apply here since a bordered Hessian can neither be negative-definite nor positive-definite, as = 0 if is any vector whose sole non-zero entry is its first.
- It's difficult to find bordered hessian in a sentence. 用bordered hessian造句挺難的
- Equivalently, the second-order conditions that are sufficient for a local minimum or maximum can be expressed in terms of the sequence of principal ( upper-leftmost ) minors ( determinants of sub-matrices ) of the Hessian; these conditions are a special case of those given in the next section for bordered Hessians for constrained optimization the case in which the number of constraints is zero.
- Specifically, sign conditions are imposed on the sequence of principal minors ( determinants of upper-left-justified sub-matrices ) of the bordered Hessian, the smallest minor consisting of the truncated first 2 " m " + 1 rows and columns, the next consisting of the truncated first 2 " m " + 2 rows and columns, and so on, with the last being the entire bordered Hessian.
- Specifically, sign conditions are imposed on the sequence of principal minors ( determinants of upper-left-justified sub-matrices ) of the bordered Hessian, the smallest minor consisting of the truncated first 2 " m " + 1 rows and columns, the next consisting of the truncated first 2 " m " + 2 rows and columns, and so on, with the last being the entire bordered Hessian.