Geometrical transformations in new mathematics curriculum: the case of reflectionBerkeley Electronic Press Selected WorksChristos MarkopoulosM DiamantisUniversity of Patras
《Compel-the International Journal for Computation & Mathematics in Electrical & Electronic Engineering》A. Nicolet, F. Zolla, Y. Agha, and S. Guenneau, "Geometrical transformations and equiv- alent materials in computational electromagnetism," COMPEL 27, 806-819 (2008)....
Among the branches of philosophy, I had, at an earlier period, given some attention to logic, and among those of the mathematics to geometrical analysis and algebra, -- three arts or sciences which ought, as I conceived, to contribute something to my design. View in context If the Sperm ...
Also found in: Dictionary, Thesaurus, Medical. Related to Geometrical Mean: Geometric mean returngeometric mean[¦jē·ə¦me·trik ′mēn] (mathematics) The geometric mean of n given quantities is the n th root of their product. Also known as geometric average. McGraw-Hill Dictionary ...
- COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 被引量: 51发表: 2008年 Geometrical Transformations and Equivalent Materials In computational Electromagnetism Purpose - This paper aims to review various techniques used in computational ...
Of the many transformations that exist in theoretical physics, that of inversion is the least understood or applied. Geometrically, the inversion of a space in a sphere, is such that the position co-ordinate r in one space, referred to the centre of the
Geometrical foundations of Lagrangian supermechanics and supersymmetry - Ibort, Maŕın-Solano - 1994 () Citation Context ...in mathematics. Nevertheless, a careful study of the geometric foundations of supermechanics was not taken very seriously, or at least people did not pay the necessary...
This book describes various versions of processors, designed for affine transformations of many-dimensional figures - planar and spatial. It covers the figures coding theory - the codes structure, algorithms of coding and decoding for planar and spatial
Besides those transformations, a significant challenge of feature summarization or subset selection methods for Big Data will be considered by focusing on scalable feature selection. Lower dimensional approximate representation is used for Big Data visualization to be able to visualize data in the ...
We provide a general mathematical framework for group and set equivariance in machine learning. We define group equivariant non-expansive operators (GENEOs) as maps between function spaces associated with groups of transformations. We study the topological and metric properties of the space of GENEOs ...