jacobian matrix वाक्य
उदाहरण वाक्य
मोबाइल
- Where the Einstein summation notation is used and the product of the vectors, is a dyadic tensor of type ( 2, 0 ), or the Jacobian matrix
- If =, the Jacobian matrix is a square matrix, and its determinant, a function of, is the "'Jacobian determinant "'of.
- If = 1, is a scalar field and the Jacobian matrix is reduced to a row vector of partial derivatives of i . e . the gradient of.
- According to the inverse function theorem, the matrix inverse of the Jacobian matrix of an invertible function is the Jacobian matrix of the " inverse " function.
- According to the inverse function theorem, the matrix inverse of the Jacobian matrix of an invertible function is the Jacobian matrix of the " inverse " function.
- However, for a problem size on the order of 2 billion, the Jacobian matrix is likely to contain on the order of a trillion non-zero entries.
- Although expressed in terms of coordinates, the result is invariant under Jacobian matrix of an-dimensional vector field in-dimensional space is invariant under any invertible linear transformation.
- In vector calculus, the "'Jacobian matrix "'(, ) is the matrix of all first-order partial derivatives of a vector-valued function.
- A necessary and sufficient condition for this inverse function to exist is that the determinant of the Jacobian Matrix, often referred to simply as the Jacobian, should be different from zero.
- To state the implicit function theorem, we need the Jacobian matrix of " f ", which is the matrix of the partial derivatives of " f ".
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