Linear Algebra and Analytic Geometry : Linear Mappings, Matrices, Determinants, Eigenvalue Theory, and Euclidean and Unitary Vector Spaces.DE

Lucien Sina

ISBN 10: 3565450371 / ISBN 13: 9783565450374

Published by Epubli, 2026

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This textbook provides a clear, systematic, and university-level introduction to linear algebra and analytic geometry. It covers the central topics of the early university curriculum, including vector spaces, linear mappings, matrices, determinants, eigenvalue theory, and Euclidean and unitary vector spaces. The mathematical theory is developed precisely and in a logically structured way, with all major results fully proved. At the same time, the didactically clear presentation ensures that even demanding content remains accessible and easy to follow. Numerous examples, exercises, and fully worked solutions support understanding, enable effective exam preparation, and make the book well suited for independent study. This book is ideal for students of mathematics, computer science, physics, engineering, and related fields.

Seller Inventory # 9783565450374

Bibliographic Details

• Title: Linear Algebra and Analytic Geometry : Linear Mappings, Matrices, Determinants, Eigenvalue Theory, and Euclidean and Unitary Vector Spaces.DE
• Publisher: Epubli
• Publication Date: 2026
• Language: English
• ISBN 10: 3565450371
• ISBN 13: 9783565450374
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 190W x 125H x 36D millimeters 190 millimeters width by 125 millimeters height by 36 millimeters depth
• Weight: 595 grams

About this title

Synopsis

This textbook provides a clear, systematic, and university-level introduction to linear algebra and analytic geometry. It covers the central topics of the early university curriculum, including vector spaces, linear mappings, matrices, determinants, eigenvalue theory, and Euclidean and unitary vector spaces. The mathematical theory is developed precisely and in a logically structured way, with all major results fully proved. At the same time, the didactically clear presentation ensures that even demanding content remains accessible and easy to follow. Numerous examples, exercises, and fully worked solutions support understanding, enable effective exam preparation, and make the book well suited for independent study. This book is ideal for students of mathematics, computer science, physics, engineering, and related fields.