Results 151 to 160 of about 3,886,089 (197)
Modulation of the cytoskeleton for cancer therapy. [PDF]
Matov A.
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Chaos in Stochastic 2d Galerkin-Navier-Stokes. [PDF]
Bedrossian J, Punshon-Smith S.
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A mixed-order quasicontinuum approach for beam-based architected materials with application to fracture. [PDF]
Kraschewski K, Phlipot GP, Kochmann DM.
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Decision support system based on AHP and PROMETHEE under rough pythagorean fuzzy set information for selection of basketball team. [PDF]
Zhang C, Li G.
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An intelligent decision model for optimizing industrial power consumption using q-fraction fuzzy information. [PDF]
Ahmed M, Ashraf S, Saqib M, Tulu A.
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Solving Linear Diophantine Equations
Linear diophantine equations are at the heart of any unification algorithm for associative and commutative theories. The known algorithms for solving homogeneous linear diophantine equations of Huet and Fortenbacher are presented and their implementation is compared. The algorithms for homogeneous equations are extended to solve inhomogeneous equations,
Guckenbiehl, Thomas, Herold, Alexander
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1995
A linear Diophantine equation in two variables is an equation of the form ax + by = c where a, b and c are given integers, and x and y are unknown integers. Sometimes x and y are restricted to the set of positive integers.
W. S. Anglin, J. Lambek
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A linear Diophantine equation in two variables is an equation of the form ax + by = c where a, b and c are given integers, and x and y are unknown integers. Sometimes x and y are restricted to the set of positive integers.
W. S. Anglin, J. Lambek
openaire +1 more source

