outer product वाक्य
उदाहरण वाक्य
मोबाइल
- Where the symbol \ scriptstyle \ wedge denotes the outer product.
- The components of ( ) are precisely those obtained from the outer product
- The outer product on tensors is typically referred to as the tensor product.
- Specifically, for the outer product of two vectors,
- The spin operator is defined as the outer product
- The tensor product, outer product and Kronecker product all convey the same general idea.
- An alternative method is to express the matrix product in terms of the outer product.
- The outer product is simply the Kronecker product, limited to vectors ( instead of matrices ).
- The exterior product should not be confused with the outer product, which is the tensor product of vectors.
- Sixteen 5x5 convolution masks are then generated as the outer product of pairs of the above masks as follows:
- With few exceptions, the outer product of QGA GIPNS surface entities represents their surfaces intersection ( s ).
- The-vector component can be identified with the inner product and the-vector component with the outer product.
- It is of algebraic convenience that the geometric product is invertible, while the inner and outer products are not.
- A rank-1 tensor is the outer product of m vectors, where m is the number of the tensor modes.
- Given two " column vectors " and, the Euclidean inner product and outer product are the simplest special cases of the matrix product.
- A rank-one tensor may be defined as expressible as the outer product of the number of nonzero vectors needed to obtain the correct order.
- A blade representing of one of this class of object may be found as the outer product of linearly independent vectors representing points on the object.
- Since the outer product of these terms can be interpreted as a " k "-volume, a natural way to define a measure is
- The failure of QGA points to rotate correctly also leads to the inability to use outermorphisms to rotate dual Geometric Outer Product Null Space ( GOPNS ) entities.
- The outer product is useful in computing physical quantities ( e . g ., the covariance and auto-covariance matrices for two vector-valued random variables.
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