Introduction to Higher Algebra

✍ Schrutka 📂 Article 📅 1909 🏛 Springer Vienna 🌐 English ⚖ 135 KB

Introduction to higher algebra

✍ Maxime Bocher 📂 Library 📅 2004 🏛 Dover Publications 🌐 English ⚖ 5 MB

Written by one of America's most influential teachers, this text presents the fundamentals of higher algebra and a thorough foundation in algebraic principles. Beginning with an account of polynomials and their basic properties, it examines determinants and Laplace's development, multiplication theo

A concrete introduction to higher algebr

A concrete introduction to higher algebra

✍ Lindsay N. Childs 📂 Library 📅 1979 🏛 Springer 🌐 English ⚖ 2 MB

This book is an informal and readable introduction to higher algebra at the post-calculus level. The concepts of ring and field are introduced through study of the familiar examples of the integers and polynomials. A strong emphasis on congruence classes leads in a natural way to finite groups and

A Concrete Introduction to Higher Algebr

A Concrete Introduction to Higher Algebra

✍ Lindsay N. Childs (eds.) 📂 Library 📅 2009 🏛 Springer 🌐 English ⚖ 3 MB

This book is an informal and readable introduction to higher algebra at the post-calculus level. The concepts of ring and field are introduced through study of the familiar examples of the integers and polynomials. A strong emphasis on congruence classes leads in a natural way to finite groups and f

Introduction to Algebra

✍ Peter J. Cameron 📂 Library 📅 2008 🏛 Oxford University Press, USA 🌐 English ⚖ 2 MB

Developed to meet the needs of modern students, this Second Edition of the classic algebra text by Peter Cameron covers all the abstract algebra an undergraduate student is likely to need. Starting with an introductory overview of numbers, sets and functions, matrices, polynomials, and modular arith

Introduction to Linear Algebra

✍ Strang G. 📂 Library 🌐 English ⚖ 551 KB

This informally written text provides students with a clear introduction into the subject of linear algebra. Topics covered include matrix multiplication, row reduction, matrix inverse, orthogonality and computation. The self-teaching book is loaded with examples and graphics and provides a wide arr