row vector वाक्य
उदाहरण वाक्य
मोबाइल
- There are alternative expressions of transformation matrices involving row vectors that are preferred by some authors.
- This matrix must be the product of a single column vector with a single row vector.
- Another important example is the transpose operation in linear algebra which takes row vectors to column vectors.
- :: I was multiplying a row vector on the left and the matrix on the right.
- Therefore, the row vectors of the augmented code \ mathit { K } form a Hadamard exponent.
- For more on the treatment of row vectors and column vectors of multivariable functions, see matrix calculus.
- Correspondingly, line coordinates may be written as row vectors,, with colons, or with a subscript,.
- The initial state of a probabilistic automaton is given by a row vector v, whose components add to unity:
- Recalling that point coordinates are written as column vectors and line coordinates as row vectors, we may express this polarity by:
- I think the idea is that column vectors would be indexed with raised indices and row vectors with lowered indices with tensors.
- With \ phi being a row vector, such that all elements in \ phi are greater than 0 and _ 1 = 1.
- Continuing with row vectors, matrix transformations further reconfiguring " n "-space can be applied to the right of previous outputs.
- If a is a row vector of size [ 1 n ] and b is a corresponding column vector of size [ n 1 ].
- An upper shift matrix shifts the components of a row vector one position to the left, with a zero appearing in the last position.
- And in turn, are column vectors ( the matrix transpose of these are row vectors ), and is the Lorentz factor of velocity.
- Suppose that the first matrix "'A "'is decomposed into its row vectors, and the second matrix into its column vectors:
- In an-dimensional Hilbert space, } } can be written as a row vector, and ( as in the previous section ) is an matrix.
- The two groups can be distinguished by whether they write the derivative of a scalar with respect to a vector as a column vector or a row vector.
- Then the row vectors of U ^ {-1 } B are mutually orthogonal and their squared norms are the eigenvalues of A ( in order ).
- The coordinate space may then be interpreted as the space of all column vectors, or all row vectors with the ordinary matrix operations of addition and scalar multiplication.
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