linear mapping वाक्य
उदाहरण वाक्य
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- The "'real matrices "'are in one-one correspondence with the linear mappings of the two-dimensional Cartesian coordinate system into itself by the rule
- The fact that is well defined and continuous follows from H�lder's inequality . is a linear mapping which is an isometry by the extremal case of H�lder's inequality.
- D2 ( " U " ) by passing to the limit . ( This approach works for non-linear mappings as well, provided they are assumed to be uniformly continuous .)
- Instead of being a simple, linear mapping, this complex relationship between genotype and phenotype is not straightforward to emergent structure, such as a cake, that is not described explicitly in the recipe itself.
- When a bijective linear mapping exists between two vector spaces ( that is, every vector from the second space is associated with exactly one in the first ), we say that the two spaces are isomorphic.
- Since the LMIs realize a non-linear mapping between the vertexes in \ mathcal { S } and \ mathcal { F } we may find very different controllers for each z = 1 \ ldots Z.
- Related to autoencoders is the NeuroScale algorithm, which uses stress functions inspired by multidimensional scaling and Sammon mappings ( see below ) to learn a non-linear mapping from the high-dimensional to the embedded space.
- The request is " I did want something that would work for all the elements of the Clifford algebra . " We still need to define what is meant by a linear mapping from the Clifford algebra onto itself.
- If is smooth then the derivative is smooth, and also is smooth where denotes the space of all bounded linear mappings with the topology of uniform convergence on bounded subsets; see [ KM ], 3.18.
- Technically, the image of the ( mathematical ) cone over the simplex whose vertices are the spectral colors, by this linear mapping, is also a ( mathematical ) cone in "'R "'3 color.
- Given the interpretation " via " linear mappings and direct sums, there is a special type of block matrix that occurs for square matrices ( the case " m " = " n " ).
- The article I found on the en . wikipedia page had absolutely nothing to do with the standard definition of a Linear function . ( It was entirely focused on the 3rd year university mathematics abstract algebra concept of Linear mappings .)
- The main linear technique for dimensionality reduction, principal component analysis, performs a linear mapping of the data to a lower-dimensional space in such a way that the variance of the data in the low-dimensional representation is maximized.
- This technique allows the user to extend the reach-area using a non-linear mapping of the hand : when the user extends the hand beyond a fixed threshold distance, the mapping becomes non-linear and the hand grows.
- Thus human color perception is determined by a specific, non-unique linear mapping from the infinite-dimensional Hilbert space " H " color to the 3-dimensional Euclidean space "'R "'3 color.
- Given a barrelled space " X " and a locally convex space " Y ", then any family of pointwise bounded continuous linear mappings from " X " to " Y " is equicontinuous ( even uniformly equicontinuous ).
- The self-organizing map ( SOM, also called " Kohonen map " ) and its probabilistic variant generative topographic mapping ( GTM ) use a point representation in the embedded space to form a latent variable model based on a non-linear mapping from the embedded space to the high-dimensional space.
- When polynomial sequences replace sequences of numbers as images of " y " " n " under the linear mapping " L ", then the umbral method is seen to be an essential component of Rota's general theory of special polynomials, and that theory is the "'umbral calculus "'by some more modern definitions of the term.
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