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Cover of Computational commutative and non-commutative algebraic geometry
English Beginner Electromagnetism

Computational commutative and non-commutative algebraic geometry

Svetlana Cojocaru,Svetlana Cojocaru,Gerhard Pfister,Victor Ufnarovski

Victor Ufnarovski

4.8 / 5

0 reviews

2005

Published

336

pages

403

views

Welcome to an in-depth exploration of the fascinating realms of computational commutative and non-commutative algebraic geometry. Authored by Svetlana Cojocaru, Gerhard Pfister, and Victor Ufnarovski, this book serves as a pivotal resource in understanding the interplay betwe

About this book

Welcome to an in-depth exploration of the fascinating realms of computational commutative and non-commutative algebraic geometry. Authored by Svetlana Cojocaru, Gerhard Pfister, and Victor Ufnarovski, this book serves as a pivotal resource in understanding the interplay between algebra and geometry within computational frameworks.

Detailed Summary of the Book

Computational Commutative and Non-Commutative Algebraic Geometry covers the critical aspects of both commutative and non-commutative algebraic geometry through a computational lens. At the core, commutative algebraic geometry deals with polynomial equations and their solutions, while the non-commutative variant generalizes this to scenarios where multiplication does not necessarily commute.

The book is structured to guide readers from foundational concepts to advanced topics, emphasizing applications and computational methods. It delves into the principles of Groebner bases and their role in solving polynomial equations, extends these ideas to modules, and explores non-commutative analogues. The authors integrate theoretical discussions with practical algorithms implemented in computer algebra systems, ensuring readers gain both conceptual clarity and computational proficiency.

This work significantly contributes to the field by bridging the gap between abstract algebraic theories and their practical applications, offering tools and methodologies pertinent to researchers and practitioners in mathematics, computer science, and engineering.

Key Takeaways

  • Comprehensive insight into the computational aspects of both commutative and non-commutative algebraic geometry.
  • Understanding of Groebner bases and their fundamental importance in solving polynomial systems.
  • The intersection of algebraic theories with practical computational applications in various scientific domains.
  • Focus on how computational tools can solve intricate algebraic problems.
  • An awareness of the evolving landscape of non-commutative algebra, expanding the horizon beyond classical algebraic geometry.

Famous Quotes from the Book

"In a world driven by equations, the power of computation unlocks the potential hidden within complex algebraic structures."

"Algebraic geometry serves as a bridge between pure mathematical theories and the tangible world of technology."

Why This Book Matters

This book is a vital contribution to the academic and practical spheres of algebraic geometry. It addresses the growing need for computational tools to tackle algebraic challenges across various scientific disciplines. By merging theoretical insights with practical applications, the book caters to students, researchers, and professionals who aim to harness the power of computational techniques in algebra.

With the rise of big data and complex systems, algebraic geometry's principles increasingly underpin critical technological advancements. Understanding these principles with the help of computational methods is more crucial than ever. The authors' expertise shines through in their ability to elucidate complex concepts and foster a deeper understanding of algebraic methods applicable in today's data-driven landscape.

The book not only serves as a comprehensive resource for learning but also inspires future research, encouraging a cross-pollination of ideas across disciplines. Its influence goes beyond theoretical knowledge, setting the stage for innovations that can impact various practical computing applications, from cryptography to robotics.

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