About Us

Math shortcuts, Articles, worksheets, Exam tips, Question, Answers, FSc, BSc, MSc

More about us

Keep Connect with Us

  • =

Login to Your Account

Introduction to Non-linear Algebra by V. Dolotin & A. Morozov




Introduction to Non-linear Algebra by V. Dolotin & A. Morozov - Table of Contents

1. Introduction 2. Solving Equations. Resultants 3. Evaluation of Resultants and Their Properties 4. Discriminants of Polylinear Forms 5. Examples of Resultants and Discriminants 6. Eigenspaces, Eigenvalues and Resultants 7. Iterated Maps 8. Potential Applications 9. Acknowledgements

What You Will Learn in Introduction to Non-linear Algebra by V. Dolotin & A. Morozov

This text is a survey of abstract algebra with emphasis on linear algebra. is a solid textbook that combines the study of both abstract and linear algebra. It covers basic topics like vector spaces and matrices, then goes into more advanced ideas like groups and rings. It is intended for students in mathematics, computer science, and the physical sciences. The book is well-organized and focuses on helping students understand the theory behind the math, with lots of examples and exercises to practice. The presentation is compact and tightly organized, but still somewhat informal. It’s great for undergraduate students who want to learn more about algebra and how it works.

Book Details & Specifications

Title: Introduction to Non-linear Algebra by V. Dolotin & A. Morozov
Publisher: World Scientific Publishing Company
Year: 2008
Pages: 147
Type: PDF
Language: English
ISBN-10 #: 9812708006
ISBN-13 #: 978-9812708007
License: Arxiv License
Amazon: Amazon

About the Author: V. Dolotin & A. Morozov

The author V. Dolotin & A. Morozov are well-known scholars in "mathematical physics", recognized for their work on advanced algebraic structures. Their research focuses on extending traditional "linear algebra" into richer, more complex "non-linear systems", especially those relevant to modern theoretical science. Both authors have made important contributions to "theoretical mathematics" and physics, particularly in areas connecting algebra with geometry and quantum theory. Through "Introduction to Non-linear Algebra", they combine deep theory with originality, making the book influential for graduate students and researchers exploring "non-linear algebra".

Free Algebraic Geometry Books PDF | Research Monographs Index

Quasi-projective Moduli Polarized Manifolds - E Viehweg
Eckart Viehweg’s Quasi-projective Moduli for Polarized Manifolds presents foundational results on moduli theory and geometry.
Introduction to Non-linear Algebra - Dolotin & Morozov
Introduction to Non-linear Algebra by Dolotin & Morozov explains advanced algebraic ideas and nonlinear systems with clarity, linking math & physics.
Metric Algebraic Geometry - Paul Breiding (PDF)
Metric Algebraic Geometry by Breiding, Kohn, and Sturmfels connects algebraic geometry with metrics, distances, and real-world optimization.
Classical Algebraic Geometry - Igor V. Dolgachev (PDF)
Learn core concepts of algebraic geometry through Dolgachev’s clear treatment of classical results, projective geometry, and rich examples.
Algorithms in Real Algebraic Geometry - Saugata Basu
A comprehensive guide to algorithms in real algebraic geometry, focusing on polynomial equations, topology, and computational complexity.

Mathematics Book Categories

Algebra & Trig. / Precalculus
Basic Algebra
Trigonometry
Calculus
Calculus with Analytical Geometry
Single Variable Calculus
Differential Calculus
Integral Calculus
Multivariable Calculus
Advanced Calculus
Calculus of Variation
Linear Algebra
Linear Algebra (Introduction)
Matrix Algebra
Discrete Mathematics
Probability & Statistics
Introductory Statistics
Probability & Stochastic Processes
Theoretical & Mathematical Statistics
Regression & Statistical Learning
Computational & Bayesian Statistics
Interdisciplinary & Applied Statistics
Mathematical Analysis
Real Analysis
Complex Analysis
Fourier Analysis
Functional Analysis
Abstract Algebra
Number Theory
Applied Mathematics
Mathematical Methods
Differential Equations
Computational Mathematics
Numerical Analysis
Mathematical Modeling
Mathematical Physics
Engineering Mathematics
History of Mathematics

.