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008 | 150903s2010 xxu| o |||| 0|eng d | ||
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_a9780387791487 _99780387791487 |
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024 | 7 |
_a10.1007/9780387791487 _2doi |
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039 | 9 |
_a201509030222 _bVLOAD _c201404122325 _dVLOAD _c201404092104 _dVLOAD _y201402041100 _zstaff |
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_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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050 | 4 | _aQA402-402.37 | |
100 | 1 |
_aHurlbert, Glenn. _eautor _9303389 |
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245 | 1 | 0 |
_aLinear Optimization : _bThe Simplex Workbook / _cby Glenn Hurlbert. |
264 | 1 |
_aNew York, NY : _bSpringer New York, _c2010. |
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300 | _brecurso en línea. | ||
336 |
_atexto _btxt _2rdacontent |
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337 |
_acomputadora _bc _2rdamedia |
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_arecurso en línea _bcr _2rdacarrier |
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_aarchivo de texto _bPDF _2rda |
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490 | 0 |
_aUndergraduate Texts in Mathematics, _x0172-6056 |
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500 | _aSpringer eBooks | ||
505 | 0 | _aThe Simplex Algorithm -- Geometry -- The Duality Theorem -- Matrix Environment -- General Form -- Unsolvable Systems -- Geometry Revisited -- Game Theory -- Network Environment -- Combinatorics -- Economics -- Integer Optimization. | |
520 | _aThis undergraduate textbook is written for a junior/senior level course on linear optimization. Unlike other texts, the treatment allows the use of the "modified Moore method" approach by working examples and proof opportunities into the text in order to encourage students to develop some of the content through their own experiments and arguments while reading the text. Additionally, the focus is on the mathematics underlying the ideas of optimizing linear functions under linear constraints and the algorithms used to solve them. In particular, the author uses the Simplex Algorithm to motivate these concepts. The text progresses at a gentle and inviting pace. The presentation is driven by numerous examples and illustrations. Ample exercises are provided at the end of each chapter for mastering the material. Opportunities for integrating Maple (or similar) software are included in the book. The author’s own WebSim software can be freely downloaded from his website for pedagogical use. The teacher's version of the text contains solutions embedded within the text, rather than in an appendix. It also has extra material and suggestions for the teacher’s benefit. Junior/senior level undergraduate students will benefit from the book, as will beginning graduate students. Future secondary school mathematics teachers will also find this book useful. Arizona State University Professor Glenn H. Hurlbert has published nearly 50 articles in graph theory, combinatorics, and optimization, and has been the recipient of numerous teaching and mentoring awards from ASU, the ASU Parents Association, the School of Mathematical and Statistical Sciences, and the Mathematical Association of America. | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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776 | 0 | 8 |
_iEdición impresa: _z9780387791470 |
856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-79148-7 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
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