This is the sixth in a series of conference proceedings of international conferences on computer algebra held in Europe. All the preceding ones have also been published as Lecture Notes in Computer Science. They contain original research material not published elsewhere, and a few invited lectures summarising the state of the art. Computer algebra is the science of using computers to do algebraic calculations, rather than the purely arithmetic calculations which we all know computers can do. These calculations may be polynomial-like calculations - one thread of the conference was devoted to polynomial algorithms - or may relate to other areas of mathematics such as integration, the solution of differential equations, or geometry - a second thread was devoted to those topics. The calculations can be applied in a wide range of scientific and engineering subjects, and in branches of mathematics. Physics has benefitted especially from these calculations, and the proceedings contain many papers on this, and also papers on applications in computer aided design and robotics, to name but a few other applications. The third thread of the proceedings was devoted to these applications and to the computer algebra systems which perform these calculations.
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First Sentence:
I. Originally computers were designed for numeric computation. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
nonsingular nodes, quadratic lifting, normal power series, tensor identification, equivalence simplification, closed semialgebraic subset, normal monomial, algebraic kernels, semialgebraic set, algebraic decision tree, linear lifting, algebraic mode, column echelon form, long integer arithmetic, semialgebraic subsets, monomial algebra, matrix power series, polynomial ideal theory, affine basis, associated prime ideals, primary ideals, lisp system, ideal decomposition, univariate polynomials, monomial factors Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Acute Algorithm, Academic Press, Cambridge University Press, Moscow State University, The Rand Corporation, Las Vegas, Claire Dicrescenzo, Dominique Duval, Ellen Golden, General Electric, Institute of Physics, Notes Comp, Santa Monica, Computer Centre, Introduction Let, Lawrence Livermore National Laboratory, Macsyma User's Conference, Maple User's Guide, North Holland, Palaiseau Cedex, Round Two, Royal Institute of Technology, Soviet Union, Theses of Reports New!
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I. Originally computers were designed for numeric computation. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
nonsingular nodes, quadratic lifting, normal power series, tensor identification, equivalence simplification, closed semialgebraic subset, normal monomial, algebraic kernels, semialgebraic set, algebraic decision tree, linear lifting, algebraic mode, column echelon form, long integer arithmetic, semialgebraic subsets, monomial algebra, matrix power series, polynomial ideal theory, affine basis, associated prime ideals, primary ideals, lisp system, ideal decomposition, univariate polynomials, monomial factors Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Acute Algorithm, Academic Press, Cambridge University Press, Moscow State University, The Rand Corporation, Las Vegas, Claire Dicrescenzo, Dominique Duval, Ellen Golden, General Electric, Institute of Physics, Notes Comp, Santa Monica, Computer Centre, Introduction Let, Lawrence Livermore National Laboratory, Macsyma User's Conference, Maple User's Guide, North Holland, Palaiseau Cedex, Round Two, Royal Institute of Technology, Soviet Union, Theses of Reports New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 56
books:
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- Multidimensional Systems Theory and Applications by N.K. Bose on page 256, page 292, and page 354
- Computer Algebra (Lecture Notes in Pure and Applied Mathematics) by Richard Jenks on page 149, and page 251
- Symbolic and Algebraic Computation (Lecture Notes in Computer Science) by P. Gianni on page 280, and Back Matter
- Automatic Differentiation: Techniques and Applications (Lecture Notes in Computer Science) by Louis B. Rall on page 69
- Software Engineering by Gregory W. Jones in Back Matter
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