Isbn: 9783030355531 - tensor spaces and numerical tensor calculus: 56 (springer series in computational mathematics, 56) (13 resultados)

Condición: New. In English.

Condición: New.

Condición: New. pp. 605.

Condición: New.

Hardcover. Condición: Brand New. 2nd edition. 636 pages. 9.25x6.10x1.54 inches. In Stock.

Condición: New.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Special numerical techniques are already needed to deal with n × n matrices for large n. Tensor data are of size n × n ×.× n=nd, where nd exceeds the computer memory by far. They appear for problems of high spatial dimensions. Since standard methods fail, a particular tensor calculus is needed to treat such problems. This monograph describes the methods by which tensors can be practically treated and shows how numerical operations can be performed. Applications include problems from quantum chemistry, approximation of multivariate functions, solution of partial differential equations, for example with stochastic coefficients, and more. In addition to containing corrections of the unavoidable misprints, this revised second edition includesnew parts ranging from single additional statements to new subchapters. The book is mainly addressed to numerical mathematicians and researchers working with high-dimensional data. It also touches problems related to Geometric Algebra.…

Condición: new. Questo è un articolo print on demand.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Special numerical techniques are already needed to deal with n × n matrices for large n. Tensor data are of size n × n ×.× n=nd, where nd exceeds the computer memory by far. They appear for problems of high spatial dimensions. Since standard methods fail, a particular tensor calculus is needed to treat such problems. This monograph describes the methods by which tensors can be practically treated and shows how numerical operations can be performed. Applications include problems from quantum chemistry, approximation of multivariate functions, solution of partial differential equations, for example with stochastic coefficients, and more. In addition to containing corrections of the unavoidable misprints, this revised second edition includesnew parts ranging from single additional statements to new subchapters. The book is mainly addressed to numerical mathematicians and researchers working with high-dimensional data. It also touches problems related to Geometric Algebra. 636 pp. Englisch.…

Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First monograph on this subject in the field of numerical mathematicsCovers algebraic and functional analysis aspects of tensor spacesFocuses on the numerical treatmentWolfgang Hackbusch is working in the fi.…

Condición: New. Print on Demand pp. 605.

Condición: New. PRINT ON DEMAND pp. 605.

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Special numerical techniques are already needed to deal with n × n matrices for large n. Tensor data are of size n × n ×.× n=nd, where nd exceeds the computer memory by far. They appear for problems of high spatial dimensions. Since standard methods fail, a particular tensor calculus is needed to treat such problems. This monograph describes the methods by which tensors can be practically treated and shows how numerical operations can be performed. Applications include problems from quantum chemistry, approximation of multivariate functions, solution of partial differential equations, for example with stochastic coefficients, and more. In addition to containing corrections of the unavoidable misprints, this revised second edition includes new parts ranging from single additional statements to new subchapters. The book is mainly addressed to numerical mathematicians and researchers working with high-dimensional data. It also touches problems related to Geometric Algebra.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 636 pp. Englisch.…