E-kitap > Bilim > Matematik > Walter Strampp: Höhere Mathematik 1 (PDF)

Walter Strampp
Höhere Mathematik 1
Lineare Algebra

Destek

Adobe DRM

Örtmek Walter Strampp: Höhere Mathematik 1 (PDF)

Das Buch schildert die wichtigsten Inhalte der Linearen Algebra. Durch zahlreiche Beispiele und ausführliche Übungen wird der Leser zur sicheren Beherrschung des Stoffs geführt. Gegenüber der Vorauflage ‘Höhere Mathematik mit MATHEMATICA -Band 1: Grundlagen, Lineare Algebra’ wurden die Inhalte zugunsten eines größeren Übungsteils inklusive Lösungen gestrafft, das Buch ist damit besonders für die Bachelor-Studiengänge geeignet.

€22.99

İçerik tablosu

Vektoren im Raum.- Vektorielles Produkt und Geometrie.- Komplexe Zahlen.- Matrizen und Gleichungssysteme.- Vektorräume.- Matrizen und lineare Abbildungen.- Determinanten.- Eigenwerte und Eigenvektoren.

Yazar hakkında

Dr. Walter Strampp ist außerplanmäßiger Professor für Mathematik an der Universität Kassel.

Dil Almanca ● Biçim PDF ● Sayfalar 244 ● ISBN 9783834883384 ● Yayımcı Vieweg & Teubner ● Kent Wiesbaden ● Ülke DE ● Yayınlanan 2011 ● Baskı 3 ● İndirilebilir 24 aylar ● Döviz EUR ● Kimlik 2241291 ● Kopya koruma Adobe DRM

DRM özellikli bir e-kitap okuyucu gerektirir

Aynı yazardan daha fazla e-kitap / Editör

46.730 Bu kategorideki e-kitaplar

Örtmek Richard Alldredge & Marc A. Evans: Cross-Over Experiments

Richard Alldredge & Marc A. Evans: Cross-Over Experiments

Developing a model-based approach that enables any cross-over trial, of any degree of imbalance, to be analyzed both for direct effects and for residual effects, using consistent procedures that …

Örtmek Feryaal (PhD Student, Ivey Business School) Ahmed & Syed Ejaz (Prof. of Maths and Statistics, Brock Uni.) Ahmed: Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data

Feryaal (PhD Student, Ivey Business School) Ahmed & Syed Ejaz (Prof. of Maths and Statistics, Brock Uni.) Ahmed: Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data

This book presents some post-estimation and predictions strategies for the host of useful statistical models with applications in data science. It combines statistical learning and machine learning …

Örtmek Pramod Belkhode & Kanchan Borkar: Mathematical Modelling

Pramod Belkhode & Kanchan Borkar: Mathematical Modelling

This book investigates human machine systems through the use of case studies such as crankshaft maintenance, liner piston maintenance, and biodiesel blend performance. Through mathematical modelling …

Örtmek Davide (Embry-Riddle Aeronautical University, USA) Conte & David B. (The Pennsylvania State University, USA) Spencer: Interplanetary Astrodynamics

Davide (Embry-Riddle Aeronautical University, USA) Conte & David B. (The Pennsylvania State University, USA) Spencer: Interplanetary Astrodynamics

Focusing on the orbital mechanics tools and techniques necessary to design, predict, and guide a trajectory of a spacecraft traveling between two or more bodies in a Solar System, this book covers …

Örtmek Alfio (University of Wurzburg, Germany) Borzi: Sequential Quadratic Hamiltonian Method

Alfio (University of Wurzburg, Germany) Borzi: Sequential Quadratic Hamiltonian Method

The sequential quadratic hamiltonian (SQH) method is a novel numerical optimization procedure for solving optimal control problems governed by differential models. It is based on the characterisation …

Örtmek Stephen Lynch: Python for Scientific Computing and Artificial Intelligence

Stephen Lynch: Python for Scientific Computing and Artificial Intelligence

Python for Scientific Computing and Artificial Intelligence is split into 3 parts: in Section 1, the reader is introduced to the Python programming language and shown how Python can aid in the …

Örtmek S. Can (Rensselaer Polytechnic Institute, United States) Gulen: Applied Second Law Analysis of Heat Engine Cycles

S. Can (Rensselaer Polytechnic Institute, United States) Gulen: Applied Second Law Analysis of Heat Engine Cycles

Applied Second Law Analysis of Heat Engine Cycles offers a concise, practical approach to one of the two building blocks of classical thermodynamics and demonstrates how it can be a powerful tool in …

Örtmek Zhe George (Western Washington University, Bellingham) Zhang: Fundamentals of Stochastic Models

Zhe George (Western Washington University, Bellingham) Zhang: Fundamentals of Stochastic Models

Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and mainly developed by mathematicians. Most existing books …

Örtmek Graham Hall: Four-Dimensional Manifolds and Projective Structure

Graham Hall: Four-Dimensional Manifolds and Projective Structure

Four-Dimensional Manifolds and Projective Structure may be considered ?rst as an introduction to di?erential geometry and, in particular, to 4-dimensional manifolds, and secondly as an introduction …

Örtmek Mark Bollman: Basic Gambling Mathematics

Mark Bollman: Basic Gambling Mathematics

Basic Gambling Mathematics: The Numbers Behind the Neon, Second Edition explains the mathematics involved in analyzing games of chance, including casino games, horse racing and other sports, and lott …

Sonraki Sayfa >>>