Fundamental Problems of Algorithmic Algebra

Fundamental Problems of Algorithmic Algebra

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Computer Algebra systems represent a rapidly growing application of computer science to all areas of scientific research and computation. Well-known computer algebra systems such as Maple, Macsyma, Mathematica and REDUCE are now a basic tool on most computers. Underlying these systems are efficient algorithms for various algebraic operations. The field of Computer Algebra, or Algorithmic Algebra, constitute the study of these algorithms and their properties, and represents a rich intersection of theoretical computer science with very classical mathematics. Yap's book focuses on a collection of core problems in this area; in effect, they are the computational versions of the classical Fundamental Problem of Algebra and its derivatives. It attempts to be self-contained in its mathematical development while addressing the algorithmic aspects of problems. General prerequesites for the book, beyond some mathematical sophistication, is a course in modern algebra. A course in the analysis of algorithms would also increase the appreciation of some of the themes on efficiency. The book is intended for a first course in algorithmic algebra (or computer algebra) for advanced undergraduates or beginning graduate students in computer science. Additionally, it will be a useful reference for professionals in this field.show more

Product details

  • Hardback | 528 pages
  • 199.6 x 243.1 x 34.8mm | 1,169.46g
  • Oxford University Press Inc
  • New York, United States
  • English
  • line figures
  • 0195125169
  • 9780195125160

Table of contents

O INTRODUCTION ; 1. Fundamental Problem of Algebra ; 2. Fundamental Problem of Classical Algebraic Geometry ; 3. Fundamental Problem of Ideal Theory ; 4. Representation and Size ; 5. Computational Models ; 6. Asymptotic Notations ; 7. Complexity of Multiplication ; 8. On Bit versus Algebraic Complexity ; 9. Miscellany ; 10. Computer Algebra Systems ; I ARITHMETIC ; 1. The Discrete Fourier Transform ; 2. Polynomial Multiplication ; 3. Modular FFT ; 4. Fast Integer Multiplication ; 5. Matrix Multiplication ; II THE GCD ; 1. Unique Factorization Domain ; 2. Euclid's Algorithm ; 3. Euclidean Ring ; 4. The Half-GCD problem ; 5. Properties of the Norm ; 6. Polynomial HGCD ; A. APPENDIX: Integer HGCD ; III SUBRESULTANTS ; 1. Primitive Factorization ; 2. Pseudo-remainders and PRS ; 3. Determinantal Polynomials ; 4. Polynomial Pseudo-Quotient ; 5. The Subresultant PRS ; 6. Subresultants ; 7. Pseudo-subresultants ; 8. Subresultant Theorem ; 9. Correctness of the Subresultant PRS Algorithm ; IV MODULAR TECHNIQUES ; 1. Chinese Remainder Theorem ; 2. Evaluation and Interpolation ; 3. Finiding Prime Moduli ; 4. Lucky homomorphisms for the GCD ; 5. Coefficient Bounds for Factors ; 6. A Modular GCD algorithm ; 7. What else in GCD computation? ; IV FUNDAMENTAL THEOREM OF ALGEBRA ; 1. Elements of Field Theory ; 2. Ordered Rings ; 3. Formally Real Rings ; 4. Constructible Extensions ; 5. Real Closed Fields ; 6. Fundamental Theorem of Algebra ; VI ROOTS OF POLYNOMIALS ; 1. Elementary Properties of Polynomial Roots ; 2. Root Bounds ; 3. Algebraic Numbers ; 4. Resultants ; 5. Symmetric Functions ; 6. Discriminant ; 7. Root Separation ; 8. A Generalized Hadamard Bound ; 9. Isolating Intervals ; 10. On Newton's Method ; 11. Guaranteed Convergence of Newton Iteration ; VII STURM THEORY ; 1. Sturm Sequences from PRS ; 2. A Generalized Sturm Theorem ; 3. Corollaries and Applications ; 4. Integer and Complex Roots ; 5. The Routh-Hurwitz Theorem ; 6. Sign Encoding of Algebraic Numbers: Thom's Lemma ; 7. Problem of Relative Sign Conditions ; 8. The BKR algorithm ; VIII GAUSSIAN LATTICE REDUCTION ; 1. Lattices ; 2. Shortest vectors in planar lattices ; 3. Coherent Remainder Sequences ; IX LATTICE REDUCTION AND APPLICATIONS ; 1. Gram-Schmidt Orthogonalization ; 2. Minkowski's Convex Body Theorem ; 3. Weakly Reduced Bases ; 4. Reduced Bases and the LLL-algorithm ; 5. Short Vectors ; 6. Factorization via Reconstruction of Minimal Polynomials ; X LINEAR SYSTEMS ; 1. Sylvester's Identity ; 2. Fraction-free Determinant Computation ; 3. Matrix Inversion ; 4. Hermite Normal Form ; 5. A Multiple GCD Bound and Algorithm ; 6. Hermite Reduction Step ; 7. Bachem-Kannan Algorithm ; 8. Smith Normal Form ; 9. Further Applications ; XI ELIMINATION THEORY ; 1. Hilbert Basis Theorem ; 2. Hilbert Nullstellensatz ; 3. Specializations ; 4. Resultant Systems ; 5. Sylvester Resultant Revisited ; 6. Interial Ideal ; 7. The Macaulay Resultant ; 8. U-Resultant ; 9. Generalized Characteristic Polynomial ; 10. Generalized U - resultant ; 11. A Multivariate Root Bound ; A. APPENDIX A: Power Series ; B. APPENDIX B: Counting Irreducible Polynomials ; XII GROBNER BASES ; 1. Admissible Orderings ; 2. Normal Form ALgorithm ; 3. Characterizations of Grobner Bases ; 4. Buchberger's Algorithm ; 5. Uniqueness ; 6. Elimination Properties ; 7. Computing in Quotient Rings ; 8. Syzygies ; XIII BOUNDS IN POLYNOMIAL IDEAL THEORY ; 1. Some Bounds in Polynomial Ideal Theory ; 2. The Hilbert-Sette Theorem ; 3. Homogeneous Sets ; 4. Cone Decomposition ; 5. Exact Decomposition of NF (I) ; 6. Exact Decomposition of Ideals ; 7. Bouding the Macaulay constants ; 8. Term Rewriting Systems ; 9. A Quadratic Counter ; 10. Uniqueness Property ; 11. Lower Bounds ; A. APPENDIX: Properties of So ; XIV CONTINUED FRACTIONS ; 1. Introductions ; 2. Extended Numbers ; 3. General Terminology ; 4. Ordinary Continued Fractions ; 5. Continued fractions as Mobius transformations ; 6. Convergence Properties ; 7. Real Mobius Transformations ; 8. Continued Fractions of Roots ; 9. Arithmetic Operationsshow more

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