(New page: The Hessian of a function (denoted <math>F(x_1, x_2, \cdots , x_n)</math>) is the multivariate equivalent to the second derivative of a single variable function. Similar to the [[gradient]...)
 
Line 2: Line 2:
  
 
[[Image:Hessian_Old Kiwi.png]]
 
[[Image:Hessian_Old Kiwi.png]]
 +
 +
[[Category:Linear Algebra]]

Revision as of 10:40, 24 March 2008

The Hessian of a function (denoted $ F(x_1, x_2, \cdots , x_n) $) is the multivariate equivalent to the second derivative of a single variable function. Similar to the gradient_Old Kiwi of a multivariate function, the Hessian is a square matrix where each entry is the composite of two partial differentiations. For a function $ f(x_1, x_2, \cdots , x_n) $, the Hessian is defined as:

Hessian Old Kiwi.png

Alumni Liaison

has a message for current ECE438 students.

Sean Hu, ECE PhD 2009