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200 00$aInstallation, field testing, and maintenance of fire hydrants$b[electronic resource]
205   $a4th ed.
210   $aDenver, Colo. $cAmerican Water Works Association$dc2006
215   $a1 online resource (136 p.)
225 1 $aAWWA manual ;$vM17
300   $a"Prepared by the AWWA Standards Committee on Fire Hydrants"--Foreword.
300   $a"Science and technology."
311   $a1-58321-414-3 
320   $aIncludes bibliographical references (p. 118) and index.
327   $a""Contents""; ""Figures""; ""Tables""; ""Foreword""; ""Acknowledgments""; ""1 A Brief History of Fire Hydrants""; ""2 Dry-Barrel Hydrants: Definitions and Preferred Nomenclature""; ""3 Wet-Barrel Hydrants: Definitions and Preferred Nomenclature""; ""4 Inspection, Installation, Testing, and Placing the Hydrant in Service""; ""5 Maintenance""; ""6 Flow Tests""; ""A Illustrated Guide to Dry-Barrel and Wet-Barrel Hydrant Nomenclature""; ""Bibliography""; ""Index""; ""AWWA Manuals""
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608   $aElectronic books.
615  0$aHydrants.
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200 12$aA first course in combinatorial optimization /$fJon Lee$b[electronic resource]
210  1$aCambridge :$cCambridge University Press,$d2004.
215   $a1 online resource (xvi, 211 pages) $cdigital, PDF file(s)
225 1 $aCambridge texts in applied mathematics ;$v36
300   $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
311   $a0-521-01012-8 
311   $a0-521-81151-1 
320   $aIncludes bibliographical references (p. 207-208) and indexes.
327   $aPolytopes and Linear Programming -- 1. Matroids and the Greedy Algorithm -- 2. Minimum-Weight Dipaths -- 3. Matroid Intersection -- 4. Matching -- 5. Flows and Cuts -- 6. Cutting Planes -- 7. Branch-&-Bound -- 8. Optimizing Submodular Functions.
330   $aA First Course in Combinatorial Optimization is a 2004 text for a one-semester introductory graduate-level course for students of operations research, mathematics, and computer science. It is a self-contained treatment of the subject, requiring only some mathematical maturity. Topics include: linear and integer programming, polytopes, matroids and matroid optimization, shortest paths, and network flows. Central to the exposition is the polyhedral viewpoint, which is the key principle underlying the successful integer-programming approach to combinatorial-optimization problems. Another key unifying topic is matroids. The author does not dwell on data structures and implementation details, preferring to focus on the key mathematical ideas that lead to useful models and algorithms. Problems and exercises are included throughout as well as references for further study.
410  0$aCambridge texts in applied mathematics ;$v36.
606   $aCombinatorial optimization
615  0$aCombinatorial optimization.
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700   $aLee$b Jon$f1960-$01476992
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