Cover of: Geometry, Analysis and Applications | R. S. Pathak

Geometry, Analysis and Applications

  • 420 Pages
  • 2.76 MB
  • 8673 Downloads
  • English
by
World Scientific Publishing Company
Analytic geometry, Applied mathematics, Calculus & mathematical analysis, Partial Differential Equations, Geometry, Mathematics, Science/Mathematics, Geometry - Algebraic, Geometry - Analytic, Geometry - Differential, Differential Equa
The Physical Object
FormatHardcover
ID Numbers
Open LibraryOL9475792M
ISBN 109810246269
ISBN 139789810246266

Tensor Analysis: Theory and Applications to Geometry and Mechanics of Continua Hardcover – December 1, by Ivan S. Sokolnikoff (Author) out of 5 stars 3 ratings. See all formats and editions Hide other formats and editions. Price New from Used from Hardcover, December 1, Cited by: This book gathers 19 papers presented at the first NLAGA-BIRS Symposium, which was held in Dakar, Senegal, in The topics addressed range from partial differential equations and geometrical analysis of optimal shapes, to control theory, and mathematical modeling.

Meyer's Geometry and Its Applications, Second Edition, combines traditional geometry with current ideas to present a modern approach that is grounded Analysis and Applications book real-world balances the deductive approach with discovery learning, and introduces axiomatic, Euclidean geometry, non-Euclidean geometry, and transformational by:   The book presents original research, besides a few survey articles by eminent experts from all over the world on current trends of research in differential and algebraic geometry, classical and modern analysis including the theory of distributions (linear.

Applications of Tensor Analysis (Dover Books on Mathematics) A. McConnell.

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out of 5 stars Paperback. $ Only 15 left in stock (more on the way). Manifolds, Tensors, and Forms: An Introduction for Mathematicians and Physicists Paul Renteln.

out of 5 stars Cited by: For efficiency the author mainly restricts himself to the linear theory and only a rudimentary background in Riemannian geometry and partial differential equations is assumed. Originating from the author's own lectures, this book is an ideal introduction for graduate students, as.

Tomorrow's answer's today. Find correct step-by-step solutions for ALL your homework for FREE. Chapter 1 Basic Geometry An intersection of geometric shapes is the set of points they share in common. l and m intersect at point E.

l and n intersect at point D. m and n intersect in line m 6, n, &. Geometry Points, Lines & Planes Collinear points are points that lie on the same line. mathematics, Number theory, Analysis, Linear Algebra, etc.

Chapter 6 studies certain new mean value theorems, as well as mean values, with applications. A special attention is given to applications of Cauchy’s mean value theorem, as well as certain special means, including the so called logarithmic and identric means, or the Seiffert means.

The deep learning-based geometry is a data-driven technique, and we consider it as data geometry. The chapter describes the main mathematical ideas behind geometric deep learning and provides development details Geometry several applications in shape analysis and synthesis, especially in spectral geometry.

Applied Dimensional Analysis and Modeling provides the full mathematical background and step-by-step procedures for employing dimensional analyses, along with a wide range of applications to problems in engineering and applied science, such as fluid dynamics, heat flow, electromagnetics, astronomy and economics.

This new edition offers additional worked-out examples in mechanics, physics. Click your Geometry textbook below for homework help. Our answers explain actual Geometry textbook homework problems. Each answer shows how to solve a textbook problem, one step at a time.

Geometry: Integrations, Applications, Connections Glencoe McGraw-Hill Boyd, et al. Discovering Geometry, 4/e Key Curriculum Press Michael Serra. Information Geometry and Its Applications (Applied Mathematical Sciences Book ) - Kindle edition by Amari, Shun-ichi.

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The book gathers contributions from the fourth conference on Information Geometry and its Applications, which was held on June 12–17,at Liblice Castle, Czech Republic on Available Formats: Hardcover eBook Softcover. This monograph is addressed mainly to graduate students and researchers in the fields of computer science, applied mathematics, engineering, and medical imaging.

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Functional analysis is a central subject of mathematics with applications in many areas of geometry, analysis, and physics. This book provides a comprehensive introduction to the field for graduate students and researchers.

Geometry and Analysis of Fractals: Hong Kong, December (Springer Proceedings in Mathematics & Statistics Book 88) - Kindle edition by Feng, De-Jun, Lau, Ka-Sing.

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An interrelation of geometry and analysis can be found in this book presents original research, besides a few survey articles by eminent experts from all over the world on current trends of research in differential and algebraic geometry, classical and modern analysis including the theory of distributions (linear and nonlinear.

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Control theory and its applications are no exception. Here, the interaction between analysis and geometry has played a crucial role in the evolution of the field. This book collects some recent results, highlighting geometrical and analytical aspects and the possible connections between : $ Spectral Geometry of Shapes presents unique shape analysis approaches based on shape spectrum in differential geometry.

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This book is a true introduction to symplectic geometry, assuming only a general background in analysis and familiarity with linear algebra. It starts with the basics of the geometry of symplectic vector spaces.

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Book Description. Exploring theories and applications developed during the last 30 years, Digital Geometry in Image Processing presents a mathematical treatment of the properties of digital metric spaces and their relevance in analyzing shapes in two and three dimensions. Unlike similar books, this one connects the two areas of image processing and digital geometry, highlighting.

Convex and discrete geometry were developed to solve problems in number theory and functional analysis but now are pursued with an eye on applications in optimization and computer science. Within differential geometry are the concepts of fiber bundles and calculus on manifolds, in particular, vector and tensor calculus.

Complex geometry lies at the intersection of differential geometry, algebraic geometry, and analysis of several complex variables, and has found applications to string theory and mirror symmetry. Complex geometry first appeared as a distinct area of study in the work of Bernhard Riemann in his study of Riemann surfaces.The book is a collection of some of the research presented at the workshop of the same name held in May at Rutgers University.

The workshop brought together researchers from two different communities: statisticians and specialists in computational geometry.Analytic geometry, also called coordinate geometry, mathematical subject in which algebraic symbolism and methods are used to represent and solve problems in importance of analytic geometry is that it establishes a correspondence between geometric curves and algebraic correspondence makes it possible to reformulate problems in geometry as equivalent .