vector product वाक्य
उदाहरण वाक्य
मोबाइल
- All that remains is to compute this matrix-vector product.
- Here the vector product is taken elementwise.
- As a rule of thumb, a dislocation will be invisible in a topograph if the vector product
- Matrix-vector product becomes a cross product of a vector with itself, ensuring result is zero:
- Thus the vector product in Eq ( 8 ), for example, will result in a single numerical value.
- The graph colouring techniques explore sparsity patterns of the Hessian matrix and cheap Hessian vector products to obtain the entire matrix.
- He would also supply notation for the scalar and vector products, which was introduced in " algebras over a field.
- Matrix-free methods require only a function that performs a matrix-vector product for a given vector, on every iteration.
- Because \ vec { E } is in the vector product, left-and right-handed polarization waves should induce magnetization of opposite signs.
- In order to remove the need to calculate the jacobian, the jacobian vector product is formed instead, which is in fact a vector itself.
- Only addition is used when calculating the matrix-vector product of \ mathrm { A } and \ mathrm { L \ Pi f }.
- Iterative methods, such as conjugate gradient method and GMRES utilize fast computations of matrix-vector products Ax _ i, where matrix A is sparse.
- *PM : vector product in general vector spaces, id = 6089-- WP guess : vector product in general vector spaces-- Status:
- *PM : vector product in general vector spaces, id = 6089-- WP guess : vector product in general vector spaces-- Status:
- Validity is retained if & phi; is a vector, in which case the vector-vector product in the second term will be a dyad.
- For a given u \ in \ mathbb { R } ^ n, this method efficiently calculates the Hessian-vector product H ( x ) u.
- Let t be a tensor, b a basis and M a matrix for relating a new basis to b by expressing it as the matrix-vector product Mb.
- I tried solving it with a Matrix equation, and the vector would be the transpose of x is the vector product if the matrix equation is Ax = 0.
- Note that the products lacking dots are tensor products of tensors with vectors ( resulting in vectors similar to a matrix-vector product ), those with dots are dot products.
- This is easy to check for e . g . vectors, and as everything in the algebra can be built from vector products it applies to all elements of the algebra.
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