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Automatic Programming and Numerical Methods of Analysis978-1-4615-8588-6
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Book 1972va Application of the PRORAB-Computer III (P, v) M-20 to the Solving of Linear Programming Problems. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 T. N. Smirnova On a Matrix Inversion Method. . • . . . . . . . • . . . . . . . . . . . . . . . . . . . . . . . . . .
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On Expansions into Nonminimal Sequences,on of the space of Fourier coefficients with respect to ϕ of the elements of space E and which indeed coincides with it if ϕ is a minimal sequence and the sequence Ψ⊂E * orthogonal to it is complete. For a Hilbert space H and a nonminimal complete sequence ϕ, certain nonzero elements of the space H.
Ccu106
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https://doi.org/10.1007/978-3-030-10377-4e optimization of processes carried out by devices operating in parallel. In the analysis of such processes it is customary to assume that the process consists of a set of operations on which a partial order has been defined, i.e., a time succession relation has been defined for certain pairs of ope
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https://doi.org/10.1007/978-981-97-2231-0and convenient for describing and implementing these computations. For example, the class of multidimensional variables serves linear algebra methods, the class of polynomials and the class of lists are used for computations on an analytical computer, etc. .
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Epilogue: Pluralist Internationalism, use a central bordering each step of which consists in the inversion of a q th-order matrix from a known (q-2)nd-order inverse matrix. The method is generalized to the case of block bordering which permits a qth-order inverse matrix to be obtained from a known (.)th-order inverse matrix. The method
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Thomas Bruneau,Harold Trinkunasn two-parameter inequality of Hardy and Littlewood (, Theorem 382). Next, the multidimensional generalization of inequality (9) is applied to prove a theorem on the imbedding of the space W. (G) into the space B. (G) generalizing and sharpening a well-known result. This theorem is in some sense t
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