sparse matrix sentence in Hindi
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- Sparse matrix techniques or run-length encoding or perhaps even delta encoding could produce drastic size reductions if that is the case.
- In numerical analysis, a "'sparse matrix "'is a matrix in which most of the elements are zero.
- For example, a sparse matrix having only a few diagonals nonzero would loose its structure when row / column interchanges are carried out.
- It has several advantages over Isomap, including faster optimization when implemented to take advantage of sparse matrix algorithms, and better results with many problems.
- The format is good for incrementally constructing a sparse matrix in random order, but poor for iterating over non-zero values in lexicographical order.
- Mathematically, FOS uses a slightly modified Cholesky decomposition in a mean-square error reduction ( MSER ) process, implemented as a sparse matrix inversion.
- Bulu?" et al . " present a sparse matrix data structure that Z-orders its non-zero elements to enable parallel matrix-vector multiplication.
- The LU decomposition of a sparse matrix is usually not sparse, thus, for a large system of equations, LU decomposition may require a prohibitive amount of arithmetical operations.
- The FDFD method requires solving a sparse matrix, which even for simple problems can be 20, 000 by 20, 000 elements or larger, with over a million unknowns.
- Calculating degree centrality for all the nodes in a graph takes dense adjacency matrix representation of the graph, and for edges takes \ Theta ( E ) in a sparse matrix representation.
- Arnoldi iteration is a typical large sparse matrix algorithm : It does not access the elements of the matrix directly, but rather makes the matrix map vectors and makes its conclusions from their images.
- One area is sparse matrix / band matrix handling, and general algorithms from this area, such as Cuthill McKee algorithm, may be applied to find approximate solutions for the graph bandwidth problem.
- Fermat has extensive built-in primitives for array and matrix manipulations, such as submatrix, sparse matrix, determinant, normalize, column reduce, row echelon, Smith normal form, and matrix inverse.
- With one byte to specify the efficacy of a synapse, and 5 bytes to specify the index of a neuron, an efficient sparse matrix representation of the matrix would require about 6 bytes per synapse.
- The implicit solvers must be used, requiring solution of a large sparse matrix system ( via e . g . the conjugate gradient method ), which itself may also be difficult to achieve at interactive frame rates.
- Unlike SPICE, which used Modified nodal analysis ( MNA ) to form the system of circuit equations, ASTAP instead used " sparse tableau formulation " ( STA ) to construct and solve a sparse matrix.
- There is the alternative option of indirect energy conversion by employing the Indirect Matrix Converter ( Fig . 5 ) or the Sparse matrix converter which was invented by Prof . Johann W . Kolar from the ETH Zurich.
- "' Advanced process monitor ( APMonitor ) "', is a modeling language for MINOS, and SNOPT . The APMonitor API provides exact first and second derivatives of continuous functions to the solvers through automatic differentiation and in sparse matrix form.
- Handbook on Robust Low-Rank and Sparse Matrix Decomposition : Applications in Image and Video Processing, CRC Press, Taylor and Francis Group, May 2016 . ( more information : http : / / www . crcpress . com / product / isbn / 9781498724623)
- In large linear-programming problems "'A "'is typically a sparse matrix and, when the resulting sparsity of "'B "'is exploited when maintaining its invertible representation, the revised simplex algorithm is a much more efficient than the standard simplex method.
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