Fundamental problems in algorithmic algebra. chee keng yap

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Coste, and M. Real Algebraic Geometry. New York, NY: Springer, Little, and D. Dummit, David S. Abstract Algebra. Lang, Serge. Reading, MA: Addison-Wesley, Pollack, and M.

Fundamental Problems of Algorithmic Algebra : Chee Keng Yap :

Horn, Roger A. Matrix Analysis. Faybusovich, L. Kao, C. Sturmfels, B. Edited by David A. Cox, Bernd Sturmfels, and Dinesh N.

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Proc Sympos Appl Math. Lewis, and H. Nesterov, Y. Studies in Applied Mathematics.

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Renegar, J. Linear Matrix Inequality Representation of Sets. Lax, P. Lewis, A.

Parrilo, and M. Reznick, B. Edited by Charles N. Delzell, and James J. Contemporary Mathematics.

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Papachristodoulou, A. ISSN: Prajna, S. Papachristodoulou, and P. Lasserre, J. Graduate Studies in Mathematics. Becker, Thomas, and Volker Weispfenning. Graduate Texts in Mathematics. Pfister, and H. Grayson, D. Kreuzer, Martin, and Lorenzo Robbiano. Computational Commutative Algebra 1. Berlin, Germany: Springer-Verlag, ISBN: X. Edited by H. Mattson, Teo Mora, and T.

Lecture Notes in Computer Science, A, no. Thomas, R. Jeroslow, R. Parrilo, P. Bose, and E.

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Blondel, Vincent, and M. Blondel, Vincent. Simultaneous Stabilization of Linear Systems. Lecture Notes in Control and Information Sciences, Basu, Saugata, Richard Pollack, and M. Algorithms in Real Algebraic Geometry. Algorithms and Computation in Mathematics. Brown, C. Caviness, Bob F.

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Johnson, eds. Collins, G. Edited by Goodman, Jacob, Richard D. Pollack, and William L.

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Kumar, P. Marshall, M. Positive Polynomials and Sums of Squares. Dottorato de Ricerca in Matematica. Dept di Mat, Univ Pisa, Top Reviews Most recent Top Reviews. There was a problem filtering reviews right now. Please try again later.

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  4. Format: Hardcover. There was once a time when computer algebra seems amazingly exotic. Sure, computers could crunch raw numbers. But no surprises there. It was quite another event to see a computer factor a simple algebraic expression, or perform symbolic integration. But now, computer algebra is available on such widespread packages as Mathematica and Maple. This book studies the subject, as a coherent entity.

    Wish it had been available in ! For those of you who might be interested in developing ever more sophisticated techniques in this field. It explains the ideas clearly. It shows that you can understand it systematically. And not as an ad hoc, grab bag of unrelated but nifty tricks. Brings together in one volume ideas that are scattered throughout many scientific papers over decades.

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