Mathematics for Computer Algebra - Graduate Course
Mathematics for Computer Algebra - Graduate Course
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In this review of Mathematics for Computer Algebra the reviewer finds a rigorous, exercise-rich graduate text best suited to serious students and instructors. The single biggest reason to buy is its focused treatment of foundational material alongside challenging exercises that push understanding beyond routine application. Readers will appreciate the academic tone and the book's origins as a university course; the review notes that this is not an introductory textbook but a compact, discipline-focused resource for deepening theoretical understanding.
Key Features
- Course-based structure: The content follows a university course format which helps readers approach topics in a logical sequence and mirrors classroom progression.
- Graduate-level depth: Prerequisite coverage allows the book to develop concepts at a level appropriate for graduate students without repeating elementary material.
- Exercise emphasis: A large number of exercises serve as complements to the text and encourage active problem solving rather than passive reading.
- Hints and references: Exercises often include hints or citations so motivated readers can pursue solutions and further study independently.
- Concise prerequisite list: By assuming basic set theory, combinatorics, analysis and elementary algebra, the book stays focused on algebraic methods relevant to computer algebra.
Who It's For
The book is best for graduate students, teaching assistants and researchers looking for a concise, course-style presentation of mathematical topics relevant to computer algebra. It is particularly useful for readers who already have the listed prerequisites and want exercises that deepen theoretical insight.
Those seeking an introductory or highly applied text on computer algebra software, beginner-friendly explanations, or abundant worked examples should look elsewhere; this book expects prior knowledge in algebra, linear algebra and basic analysis.
Pros & Cons
Pros
- Course-origin presentation provides a clear, academic progression useful for seminar or self-study.
- Strong emphasis on exercises encourages independent learning and problem-solving skills.
- Hints and references for exercises guide motivated readers toward solutions without over-explaining.
Cons
- Not suitable as a stand-alone introduction; readers need several mathematical prerequisites to follow comfortably.
Specifications
| Title | Mathematics for Computer Algebra |
| Authors | Maurice Mignotte, C. Mignotte |
| Origin | Course given 1986/87 at University Louis Pasteur, Strasbourg |
| Intended audience | Graduate students |
| Prerequisites | Set theory, integers, combinatorics, high-school analysis, elementary algebra |
| Content focus | Theoretical foundations with many exercises and references |
Our Verdict
Mathematics for Computer Algebra is a compact, academically rigorous resource that pays off for readers with the stated prerequisites. It delivers strong pedagogical value through its course structure and plentiful exercises, making it a worthwhile purchase for graduate students and instructors who need theoretical depth rather than introductory coverage.
Frequently Asked Questions
Is this book suitable for self-study?
Yes, provided the reader already has the listed prerequisites and is comfortable working through exercises with occasional hints rather than full solutions.
Does it cover practical computer algebra software?
No; the book focuses on mathematical foundations and exercises rather than software tutorials or applied tool workflows.
What background is required?
Basic set theory, rational integers, elementary combinatorics, some high-school level analysis and elementary algebra are expected.
Editor's Take
A compact, academically rigorous text that rewards graduate students and instructors with strong theoretical coverage and many exercises; ideal for readers who already meet the listed prerequisites.

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