| 000 | 03283nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-3-211-99314-9 | ||
| 003 | DE-He213 | ||
| 005 | 20140220084518.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2010 au | s |||| 0|eng d | ||
| 020 |
_a9783211993149 _9978-3-211-99314-9 |
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| 024 | 7 |
_a10.1007/978-3-211-99314-9 _2doi |
|
| 050 | 4 | _aQA564-609 | |
| 072 | 7 |
_aPBMW _2bicssc |
|
| 072 | 7 |
_aMAT012010 _2bisacsh |
|
| 082 | 0 | 4 |
_a516.35 _223 |
| 100 | 1 |
_aRobbiano, Lorenzo. _eeditor. |
|
| 245 | 1 | 0 |
_aApproximate Commutative Algebra _h[electronic resource] / _cedited by Lorenzo Robbiano, John Abbott. |
| 264 | 1 |
_aVienna : _bSpringer Vienna, _c2010. |
|
| 300 |
_aXIV, 227p. 15 illus., 4 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aTexts and Monographs in Symbolic Computation, A Series of the Research Institute for Symbolic Computation, Johannes Kepler University, Linz, Austria, _x0943-853X |
|
| 505 | 0 | _aFrom Oil Fields to Hilbert Schemes -- Numerical Decomposition of the Rank-Deficiency Set of a Matrix of Multivariate Polynomials -- Towards Geometric Completion of Differential Systems by Points -- Geometric Involutive Bases and Applications to Approximate Commutative Algebra -- Regularization and Matrix Computation in Numerical Polynomial Algebra -- Ideal Interpolation: Translations to and from Algebraic Geometry -- An Introduction to Regression and Errors in Variables from an Algebraic Viewpoint -- ApCoA = Embedding Commutative Algebra into Analysis -- Exact Certification in Global Polynomial Optimization Via Rationalizing Sums-Of-Squares. | |
| 520 | _aApproximate Commutative Algebra is an emerging field of research which endeavours to bridge the gap between traditional exact Computational Commutative Algebra and approximate numerical computation. The last 50 years have seen enormous progress in the realm of exact Computational Commutative Algebra, and given the importance of polynomials in scientific modelling, it is very natural to want to extend these ideas to handle approximate, empirical data deriving from physical measurements of phenomena in the real world. In this volume nine contributions from established researchers describe various approaches to tackling a variety of problems arising in Approximate Commutative Algebra. | ||
| 650 | 0 | _aMathematics. | |
| 650 | 0 |
_aAlgebra _xData processing. |
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| 650 | 0 | _aGeometry, algebraic. | |
| 650 | 0 | _aAlgebra. | |
| 650 | 0 | _aNumerical analysis. | |
| 650 | 1 | 4 | _aMathematics. |
| 650 | 2 | 4 | _aAlgebraic Geometry. |
| 650 | 2 | 4 | _aCommutative Rings and Algebras. |
| 650 | 2 | 4 | _aNumerical Analysis. |
| 650 | 2 | 4 | _aSymbolic and Algebraic Manipulation. |
| 700 | 1 |
_aAbbott, John. _eeditor. |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783211993132 |
| 830 | 0 |
_aTexts and Monographs in Symbolic Computation, A Series of the Research Institute for Symbolic Computation, Johannes Kepler University, Linz, Austria, _x0943-853X |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-211-99314-9 |
| 912 | _aZDB-2-SMA | ||
| 999 |
_c111136 _d111136 |
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