View example sentences and word forms for Jacobian.

Jacobian

Jacobian meaning

Used to specify certain mathematical objects named in honour of C. G. J. Jacobi.

Example sentences (15)

The backups are freshmen Dillon Markiewicz and JaCobian Morgan, who played briefly against Clemson, his first action in college.

Canton scored its final points of the night when Jacobian Morgan ran in from two yards out.

A quantity called the Jacobian is useful for studying functions when both the domain and range of the function are multivariable, such as a change of variables during integration.

From this perspective the chain rule therefore says: : or for short, : That is, the Jacobian of a composite function is the product of the Jacobians of the composed functions (evaluated at the appropriate points).

If ƒ is differentiable, this is equivalent to: : where J(x) denotes the Jacobian matrix of partial derivatives of ƒ at x and is the induced norm on the matrix.

In this case, the above rule for Jacobian matrices is usually written as: : The chain rule for total derivatives implies a chain rule for partial derivatives.

Note that there may be different naming conventions, for example, IEEE P1363 -2000 standard uses "projective coordinates" to refer to what is commonly called Jacobian coordinates.

Other array languages may require explicit treatment of indices (for example, MATLAB ), and/or may not support higher-order functions such as the Jacobian derivative (for example, Fortran /APL).

Quasi-Newton methods When the Jacobian is unavailable or too expensive to compute at every iteration, a Quasi-Newton method can be used.

The Jacobian matrix is the matrix that represents this linear transformation with respect to the basis given by the choice of independent and dependent variables.

The Jacobian matrix reduces to a 1×1 matrix whose only entry is the derivative f (x).

This so-called Jacobian matrix is often used for explicit computations.

Volume and Jacobian determinant As pointed out above, the absolute value of the determinant of real vectors is equal to the volume of the parallelepiped spanned by those vectors.

We can also express this compactly using the Jacobian determinant : : This single equation together with appropriate boundary conditions describes 2D fluid flow, taking only kinematic viscosity as a parameter.

While locally the more general transformation law can indeed be used to recognise these tensors, there is a global question that arises, reflecting that in the transformation law one may write either the Jacobian determinant, or its absolute value.