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Computer Technology for Solving Large Scale Matrix Problems

机译:求解大规模矩阵问题的计算机技术

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In this paper it is shown a possibility of creating efficient computing technology for solving matrix-vector-based scientific, engineering, encomic, and other problems. It is based on using the new class of hypercomplex systems opened by W.F. Hamilton but formed by a procedure which is different from the procedure proposed by his followers. This method allows, for example, to reduce multiplication/summation of two large size matrixes/vectors to multiplication/summation of only two whole numbers and, in general, to use a single real number as an operand instead of matrix/vector. Transforming matrices and vectors into whole numbers can be performed on the basis of parallel massive/multiprocessor systems.
机译:本文示出了为解决基于矩阵的科学,工程,杂项和其他问题创造有效计算技术的可能性。它是基于使用W.f打开的新类超复活系统。汉密尔顿,但由与他的追随者提出的程序不同的程序形成。该方法例如允许将两个大尺寸矩阵/向量的乘法/求和减少到仅乘以两个整数的乘法/求和,并且通常使用单个实数作为操作数而不是矩阵/矢量。可以基于平行的大量/多处理器系统来执行将矩阵和向量变为整数。

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