Tabatabaian, Mehrzad  | Mercury Learning and Information

29,000원  | 20230718  | 9781683929642

Tensor analysis is used in engineering and science fields. This new edition provides engineers and applied scientists withthe tools and techniques of tensor analysis for applications in practical problem solving and analysis activities. It includes expanded content on the application of mechanical stress transformation. The geometry is limited to the Euclidean space/geometry, where the Pythagorean Theorem applies, with well-defined Cartesian coordinate systems as the reference.

 | Morgan & Claypool

66,020원  | 19050628  | 9781598291001

This lecture presents research on a general framework for perceptual organization that was conducted mainly at the Institute for Robotics and Intelligent Systems of the University of Southern California. It is not written as a historical recount of the work, since the sequence of the presentation is not in chronological order.

John Lighton Synge, A. Schild  | Dover

25,560원  | 20080115  | 9780486636122

Fundamental introduction for beginning student of absolute differential calculus and for those interested in applications of tensor calculus to mathematical physics and engineering. Topics include spaces and tensors; basic operations in Riemannian...

Borg,S.F.  | World Scientific

22,500원  | 19960701  | 9789810201678

Lebedev, Leonid P.  | World Scientific

162,410원  | 20030701  | 9789812383600

Tensor analysis is an essential tool in any science that employs a continuum description. This work offers a treatment of the subject suitable for the student or practicing engineer. It introduces the reader to differential geometry, including the elementary theory of curves and surfaces.

Liu, Jiani, Zhu, Ce, Long, Zhen  | Now Publishers

163,400원  | 20210927  | 9781680838862

Regression analysis is a key area of interest in the field of data analysis and machine learning which is devoted to exploring the dependencies between variables, often using vectors. The emergence of high dimensional data in technologies such as neuroimaging, computer vision, climatology and social networks, has brought challenges to traditional data representation methods. Tensors, as high dimensional extensions of vectors, are considered as natural representations of high dimensional data.

 | Saint Philip Street Press

74,190원  | 20201008  | 9781013273629

Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims to explain the tensor network contraction approaches in a systematic way, from the basic definitions to the important applications. This book is also useful to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis.

Reza Zadeh  | O'Reilly

39,000원  | 20180101  | 9789352137046

Learn how to solve challenging machine learning problems with Tensorflow, Google and rsquo;s revolutionary new system for deep learning. If you have some background with basic linear algebra and calculus, this practical book shows you how to build and mdash;and when to use and mdash;deep learning architectures. You and rsquo;ll learn how to design systems capable of detecting objects in images, understanding human speech, analyzing video and predicting the properties of potential medicines.

 | Mercury Learning & Information

93,740원  | 20180829  | 9781683922377

Provides the necessary definitions, formulations, and procedures for tensor analysis and transformations to help engineers and scientists to perform their calculations in arbitrary coordinates systems. Companion files include enhanced and animated 4-colour figures.

Bishop, Richard L./ Goldberg, Samuel I.  | Dover

38,220원  | 19801201  | 9780486640396

Proceeds from general to special, including chapters on vector analysis on manifolds and integration theory.

Spiegel, Murray R.  | McGraw-Hill

28,000원  | 20090504  | 9780071615457

The guide to vector analysis that helps students study faster, learn better, and get top grades ..More than 40 million students have trusted Schaum's to help them study faster, learn better, and get top grades. Now Schaum's is better than ever-with a new look, a new format with hundreds of practice problems, and completely updated information to conform to the latest developments in every field of study. ..Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time-and get your best test scores! ..Schaum's Outlines-Problem Solved. ..

Takeo Yokonuma  | Amer. Mathematical Society

96,940원  | 20210101  | 9780821827963

Explains tensors and such related topics as tensor products of vector spaces, tensor algebras and exterior algebras. This work begins with basic notions associated with tensors. It discusses the algebraic foundations of tensor calculus and applications of exterior algebra to determinants and to geometry.

Diestel, Joe/ Fourie, Jan H./ Swart, Johan  | Amer Mathematical Society

131,070원  | 20210101  | 9780821844403

Offers details of Grothendieck's constructions and laying bare how the important classes of operators are a consequence of the abstract operations on tensor norms. This book shows how the classical Banach spaces ($C(K)$'s, Hilbert spaces, and the spaces of integrable functions) fit naturally within the mosaic that Grothendieck constructed.

Cichocki, Andrzej, Lee, Namgil, Oseledets, Ivan  | Now Publishers

163,400원  | 20161219  | 9781680832228

Modern applications in engineering and data science are increasingly based on multidimensional data of exceedingly high volume, variety, and structural richness. However, standard machine learning and data mining algorithms typically scale exponentially with data volume and complexity of cross-modal couplings - the so called curse of dimensionality - which is prohibitive to the analysis of such large-scale, multi-modal and multi-relational datasets.

 | Springer Nature B.V.

66,000원  | 20071231  | 9783031793103

Tensor Properties of Solids presents the phenomenological development of solid state properties represented as matter tensors in two parts: Part I on equilibrium tensor properties and Part II on transport tensor properties. Part I begins with an introduction to tensor notation, transformations, algebra, and calculus together with the matrix representations. Crystallography, as it relates to tensor properties of crystals, completes the background treatment.