Catalog > Scienza > Matematica > Wolfgang Schafer: Mathematik-Vorkurs (PDF)

Wolfgang Schafer
Mathematik-Vorkurs [PDF ebook]
Ubungs- und Arbeitsbuch fur Studienanfanger

Supporto

Copertina di Wolfgang Schafer: Mathematik-Vorkurs (PDF)

€46.06

Acquista questo ebook e ricevine 1 in più GRATIS!

Lingua Tedesco ● Formato PDF ● ISBN 9783322859280 ● Casa editrice Vieweg+Teubner Verlag ● Pubblicato 2013 ● Scaricabile 3 volte ● Moneta EUR ● ID 6306927 ● Protezione dalla copia Adobe DRM

Richiede un lettore di ebook compatibile con DRM

Altri ebook dello stesso autore / Editore

Wolfgang Schafer

49.013 Ebook in questa categoria

Copertina di D.R. Cox: Applied Statistics - Principles and Examples

D.R. Cox: Applied Statistics – Principles and Examples

This book should be of interest to senior undergraduate and postgraduate students of applied statistics. …

Copertina di Paul-Jean Cahen & Douglas L. Costa: Commutative Ring Theory

Paul-Jean Cahen & Douglas L. Costa: Commutative Ring Theory

‘ Exploring commutative algebra”s connections with and applications to topological algebra and algebraic geometry, Commutative Ring Theory covers the spectra of rings chain conditions, dimension the …

Copertina di In-Gee Kim: Annotations to Quantum Statistical Mechanics

In-Gee Kim: Annotations to Quantum Statistical Mechanics

This book is a rewritten and annotated version of Leo P. Kadanoff and Gordon Baym’s lectures that were presented in the book Quantum Statistical Mechanics: Green’s Function Methods in Equilibrium and …

Copertina di H.F Jones: Groups, Representations and Physics

H.F Jones: Groups, Representations and Physics

Illustrating the fascinating interplay between physics and mathematics, Groups, Representations and Physics, Second Edition provides a solid foundation in the theory of groups, particularly group rep …

Copertina di Rafael A. Irizarry: Data Analysis for the Life Sciences with R

Rafael A. Irizarry: Data Analysis for the Life Sciences with R

This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to com …

Copertina di Jerome A. Goldstein & Franz Keppel: Differential Equations with Applications in Biology, Physics, and Engineering

Jerome A. Goldstein & Franz Keppel: Differential Equations with Applications in Biology, Physics, and Engineering

Suitable as a textbook for a graduate seminar in mathematical modelling, and as a resource for scientists in a wide range of disciplines. Presents 22 lectures from an international conference in Leib …

Copertina di Vidyadhar S. (Michigan State University, East Lansing, USA) Mandrekar & David A. (Indiana University-Purdue University, Fort Wayne) Redett: Weakly Stationary Random Fields, Invariant Subspaces and Applications

Vidyadhar S. (Michigan State University, East Lansing, USA) Mandrekar & David A. (Indiana University-Purdue University, Fort Wayne) Redett: Weakly Stationary Random Fields, Invariant Subspaces and Applications

The first book to examine weakly stationary random fields and their connections with invariant subspaces (an area associated with functional analysis). It reviews current literature, presents central …

Copertina di Andrei D. Polyanin & Valentin F. (Russian State Pedagogical University, St. Petersburg) Zaitsev: Handbook of Ordinary Differential Equations

Andrei D. Polyanin & Valentin F. (Russian State Pedagogical University, St. Petersburg) Zaitsev: Handbook of Ordinary Differential Equations

The Handbook of Ordinary Differential Equations: Exact Solutions, Methods, and Problems, is an exceptional and complete reference for scientists and engineers as it contains over 7, 000 ordinary diff …

Copertina di P. McCullagh: Tensor Methods in Statistics

P. McCullagh: Tensor Methods in Statistics

This book provides a systematic development of tensor methods in statistics, beginning with the study of multivariate moments and cumulants. The effect on moment arrays and on cumulant arrays of maki …

Copertina di Angel R. (U.S. Bureau of Labor Statistics, Washington, DC, USA) Martinez & Wendy L. (U.S. Bureau of Labor Statistics, Washington, DC, USA) Martinez: Exploratory Data Analysis with MATLAB

Angel R. (U.S. Bureau of Labor Statistics, Washington, DC, USA) Martinez & Wendy L. (U.S. Bureau of Labor Statistics, Washington, DC, USA) Martinez: Exploratory Data Analysis with MATLAB

Praise for the Second Edition: ‘The authors present an intuitive and easy-to-read book. … accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate …

Pagina successiva >>>