LEADER 01051nam0-22003971i-450- 001 990000777680403321 005 20001010 010 $a0-07-037226-8 035 $a000077768 035 $aFED01000077768 035 $a(Aleph)000077768FED01 035 $a000077768 100 $a20001010d--------km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aTension structures$ebehavior and analysis$fJohn William Leonard 210 $aNew York [etc.]$cMcGraw-Hill$dc1988 215 $a400 p.$d24 cm 225 1 $aCivil engineering 300 $aBibliografia: p. 371-379 610 0 $aMembrane tessili 610 0 $aTensostrutture 610 0 $aleggere 610 0 $aCostruzioni 676 $a624.177 700 1$aLeonard,$bJohn William$038539 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000777680403321 952 $aTECN B 816$b3900$fFARBC 952 $a473001$fDCATA 959 $aFARBC 959 $aDCATA 996 $aTension structures$9351174 997 $aUNINA DB $aING01 LEADER 04731nam 2200661Ia 450 001 9910739450003321 005 20250610110632.0 010 $a9783319002002 010 $a3319002007 024 7 $a10.1007/978-3-319-00200-2 035 $a(CKB)2670000000533711 035 $a(EBL)1398555 035 $a(OCoLC)858763863 035 $a(SSID)ssj0000962666 035 $a(PQKBManifestationID)11487307 035 $a(PQKBTitleCode)TC0000962666 035 $a(PQKBWorkID)10975868 035 $a(PQKB)10221749 035 $a(DE-He213)978-3-319-00200-2 035 $a(MiAaPQ)EBC1398555 035 $a(PPN)172422086 035 $a(MiFhGG)9783319002002 035 $a(MiAaPQ)EBC29081126 035 $a(EXLCZ)992670000000533711 100 $a20130506d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aDiscrete geometry and optimization /$fKaroly Bezdek, Antoine Deza, Yinyu Ye, editors 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (341 p.) 225 0$aFields Institute communications,$x1069-5265 ;$vv. 69 300 $aDescription based upon print version of record. 311 08$a9783319001999 311 08$a331900199X 311 08$a9783319033129 311 08$a3319033123 327 $aPreface -- Discrete Geometry in Minkowski Spaces (Alonso, Martini, and Spirova) -- Engineering Branch-and-Cut Algorithms for the Equicut Program (Anjos, Liers, Pardella, and Schmutzer) -- An Approach to the Dodecahedral Conjecture Based on Bounds for Spherical Codes (Anstreicher) -- On Minimal Tilings with Convex Cells Each Containing a Unit Ball (Bezdek) -- On Volumes of Permutation Polytopes (Burggraf, De Loera, and Omar) -- Monotone Paths in Planar Convex Subdivisions and Polytopes (Dumitrescu, Rote, and Toth).- Complexity of the Positive Semidefinite Matrix Completion Problem with a Rank Constraint (Eisenberg-Nagy, Laurent, and Varvitsiotis) -- The Strong Dodecahedral Conjecture and Fejes Toth's Conjecture on Sphere Packings with Kissing Number Twelve (Hales) -- Solving Nuclear Norm Regularized and Semidefinite Matrix Least Squares Problems with Linear Equality Constraints (Jiang, Sun, and Toh) -- Techniques for Submodular Maximization (Lee) -- A Further Generalization of the Colourful Caratheodory theorem (Meunier, Deza) -- Expected Crossing Numbers (Mohar, Stephen) -- EL-Labelings and Canonical Spanning Trees for Subword Complexes (Pilaud, Stump) -- Bandwidth, Vertex Separators, and Eigenvalue Optimization (Rendl, Lisser, and Piacentini) -- Exploiting Symmetries in Polyhedral Computations (Schurmann) -- Conditions for Correct Sensor Network Localization Using SDP Relaxation (Shamsi, Taheri, Zhu, and Ye) -- A Primal-Dual Smooth Perceptron-von Neumann Algorithm (Soheili, Pena) -- Open Problems (Bezdek, Deza, and Ye).   . 330 $aOptimization has long been a source of both inspiration and applications for geometers, and conversely, discrete and convex geometry have provided the foundations for many optimization techniques, leading to a rich interplay between these subjects. The purpose of the Workshop on Discrete Geometry, the Conference on Discrete Geometry and Optimization, and the Workshop on Optimization, held in September 2011 at the Fields Institute, Toronto, was to further stimulate the interaction between geometers and optimizers. This volume reflects the interplay between these areas. The inspiring Fejes Tóth Lecture Series, delivered by Thomas Hales of the University of Pittsburgh, exemplified this approach. While these fields have recently witnessed a lot of activity and successes, many questions remain open. For example, Fields medalist Stephen Smale stated that the question of the existence of a strongly polynomial time algorithm for linear optimization is one of the most important unsolved problems at the beginning of the 21st century. The broad range of topics covered in this volume demonstrates the many recent and fruitful connections between different approaches, and features novel results and state-of-the-art surveys as well as open problems. 410 0$aFields Institute Communications,$x1069-5265 ;$v69 606 $aDiscrete geometry 606 $aMathematical optimization 615 0$aDiscrete geometry. 615 0$aMathematical optimization. 676 $a516.11 701 $aBezdek$b Karoly$01062468 701 $aYe$b Yinyu$0771525 701 $aDeza$b Antoine$01757024 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910739450003321 996 $aDiscrete geometry and optimization$94194663 997 $aUNINA LEADER 04393nam 22008295 450 001 9910231237903321 005 20250504234900.0 010 $a9783319582955 010 $a331958295X 024 7 $a10.1007/978-3-319-58295-5 035 $a(CKB)4340000000061740 035 $a(DE-He213)978-3-319-58295-5 035 $a(MiAaPQ)EBC5577804 035 $a(Au-PeEL)EBL5577804 035 $a(OCoLC)994135021 035 $a(MiAaPQ)EBC6367962 035 $a(Au-PeEL)EBL6367962 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/27060 035 $a(ScCtBLL)706c73cf-d8de-4bd4-8c0b-660fe60054b6 035 $a(Perlego)2338165 035 $a(ODN)ODN0010068769 035 $a(oapen)doab31899 035 $a(oapen)doab27060 035 $a(EXLCZ)994340000000061740 100 $a20170626d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFading Foundations $eProbability and the Regress Problem /$fby David Atkinson, Jeanne Peijnenburg 205 $a1st ed. 2017. 210 $d2017 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XI, 238 p.) 225 1 $aSynthese Library, Studies in Epistemology, Logic, Methodology, and Philosophy of Science,$x2542-8292 ;$v383 311 08$a9783319582948 311 08$a3319582941 327 $a1. The Regress Problem -- 2. Epistemic Justification -- 3. The Probabilistic Regress -- 4. Fading Foundations and the Emergence of Justification -- 5 Finite Minds -- 6. Conceptual Objections -- 7. Higher-Order Probabilities -- 8. Loops and Networks. 330 $aThis book is open access under a CC BY 4.0 license. This book addresses the age-old problem of infinite regresses in epistemology. How can we ever come to know something if knowing requires having good reasons, and reasons can only be good if they are backed by good reasons in turn? The problem has puzzled philosophers ever since antiquity, giving rise to what is often called Agrippa's Trilemma. The current volume approaches the old problem in a provocative and thoroughly contemporary way. Taking seriously the idea that good reasons are typically probabilistic in character, it develops and defends a new solution that challenges venerable philosophical intuitions and explains why they were mistakenly held. Key to the new solution is the phenomenon of fading foundations, according to which distant reasons are less important than those that are nearby. The phenomenon takes the sting out of Agrippa's Trilemma; moreover, since the theory that describes it is general and abstract, it is readily applicable outside epistemology, notably to debates on infinite regresses in metaphysics. 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