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Originally published in 1927, as the first of a two-part set, this
informative and systematically organised textbook, primarily aimed
at university students, contains a vectorial treatment of geometry,
reasoning that by the use of such vector methods, geometry is able
to be 'both simplified and condensed'. Chapters I-XI discuss the
more elementary parts of the subject, whilst the remainder is
devoted to an exploration of the more complex differential
invariants for a surface and their applications. Chapter titles
include, 'Curves with torsion', 'Geodesics and geodesic parallels'
and 'Triply orthogonal systems of surfaces'. Diagrams are included
to supplement the text. Providing a detailed overview of the
subject and forming a solid foundation for study of
multidimensional differential geometry and the tensor calculus,
this book will prove an invaluable reference work to scholars of
mathematics as well as to anyone with an interest in the history of
education.
Originally published in 1930, as the second of a two-part set, this
informative and systematically organized textbook, primarily aimed
at university students, contains a vectorial treatment of geometry,
reasoning that by the use of such vector methods, geometry is able
to be both simplified and condensed. Topics covered include Flexion
and Applicability of Surfaces, Levi-Civita's theory of parallel
displacements on a surface and the theory of Curvilinear
Congruences. Diagrams are included to supplement the text.
Providing a detailed overview of the subject and forming a solid
foundation for study of multidimensional differential geometry and
the tensor calculus, this book will prove an invaluable reference
work to scholars of mathematics as well as to anyone with an
interest in the history of education.
The purpose of this book is to bridge the gap between differential
geometry of Euclidean space of three dimensions and the more
advanced work on differential geometry of generalised space. The
subject is treated with the aid of the Tensor Calculus, which is
associated with the names of Ricci and Levi-Civita; and the book
provides an introduction both to this calculus and to Riemannian
geometry. The geometry of subspaces has been considerably
simplified by use of the generalized covariant differentiation
introduced by Mayer in 1930, and successfully applied by other
mathematicians.
This book provides the mathematical foundations of statistics. Its
aim is to explain the principles, to prove the formulae to give
validity to the methods employed in the interpretation of
statistical data. Many examples are included but, since the primary
emphasis is on the underlying theory, it is of interest to students
of a wide variety of subjects: biology, psychology, agriculture,
economics, physics, chemistry, and (of course) mathematics.
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