LEADER 05586nam 2200817 a 450 001 9910461433703321 005 20200520144314.0 010 $a3-11-048237-1 010 $a1-283-40031-6 010 $a9786613400314 010 $a3-11-025402-6 024 7 $a10.1515/9783110254020 035 $a(CKB)2670000000113728 035 $a(EBL)765904 035 $a(OCoLC)748242228 035 $a(SSID)ssj0000559579 035 $a(PQKBManifestationID)11383318 035 $a(PQKBTitleCode)TC0000559579 035 $a(PQKBWorkID)10567157 035 $a(PQKB)10553716 035 $a(MiAaPQ)EBC765904 035 $a(WaSeSS)Ind00009035 035 $a(DE-B1597)123307 035 $a(OCoLC)763160706 035 $a(OCoLC)979970971 035 $a(DE-B1597)9783110254020 035 $a(PPN)202069915$9sudoc 035 $a(PPN)175483418 035 $a(Au-PeEL)EBL765904 035 $a(CaPaEBR)ebr10502391 035 $a(CaONFJC)MIL340031 035 $a(EXLCZ)992670000000113728 100 $a20101222d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aArchaic and classical choral song$b[electronic resource] $eperformance, politics and dissemination /$fedited by Lucia Athanassaki, Ewen Bowie 210 $aBerlin ;$aNew York $cDe Gruyter$dc2011 215 $a1 online resource (572 p.) 225 1 $aTrends in classics. Supplementary volumes,$x1868-4785 ;$vv. 10 300 $aDescription based upon print version of record. 311 $a3-11-025401-8 311 $a3-11-219044-0 320 $aIncludes bibliographical references and indexes. 327 $t Frontmatter -- $tForeword -- $tTable of Contents -- $tIntroduction -- $tReflections of choral song in early hexameter poetry / $rRichardson, Nicholas -- $tAlcman's first Partheneion and the song the Sirens sang / $rBowie, Ewen -- $tCyberchorus: Pindar's ????????? and the aura of the artificial / $rPower, Timothy -- $tEnunciative fiction and poetic performance. Choral voices in Bacchylides' Epinicians / $rCalame, Claude -- $tEros and praise in early Greek lyric / $rRawles, Richard -- $tThe parrhesia of young female choruses in Ancient Greece / $rLardinois, André P.M.H. -- $tA second look at the poetics of re-enactment in Ode 13 of Bacchylides / $rNagy, Gregory -- $tThe Ceians and their choral lyric: Athenian, epichoric and pan-Hellenic perspectives / $rFearn, David -- $tSong, politics, and cultural memory: Pindar's Pythian 7 and the Alcmaeonid temple of Apollo / $rAthanassaki, Lucia -- $tEpinician choregia: funding a Pindaric chorus / $rCurrie, Bruno -- $tPindar and the Aeginetan patrai: Pindar's intersecting audiences / $rMorrison, A. D. -- $tOlympians 1-3: A song cycle? / $rClay, Jenny Strauss -- $tThe dissemination of Pindar's non-epinician choral lyric / $rHubbard, Thomas -- $tChoral self-awareness: on the introductory anapaests of Aeschylus' Supplices / $rKavoulaki, Athena -- $tEpinician and tragic worlds: the case of Sophocles' Trachiniae / $rSwift, L. A. -- $tAlcman at the end of Aristophanes' Lysistrata: ritual interchorality / $rBierl, Anton -- $tAlcman: from Laconia to Alexandria / $rCarey, Chris -- $tBibliography -- $tList of Contributors -- $tIndex of proper names and subjects -- $tIndex locorum 330 $aThis book addresses the many interlocking problems in understanding the modes of performance, dissemination, and transmission of Greek poetry of the seventh to the fifth centuries BC whose first performers were a choral group, sometimes singing in a ritual context, sometimes in more secular celebrations of victories in competitive games. It explores the different ways such a group presented itself and was perceived by its audiences; the place of tyrants, of other prominent individuals and of communities in commissioning and funding choral performances and in securing the further circulation of the songs' texts and music; the social and political role of choral songs and the extent to which such songs continued to be performed both inside and outside the immediate family and polis-community, whether chorally or in archaic Greece's important cultural engine, the elite male symposium, with the consequence that Athenian theatre audiences could be expected to appreciate allusion to or reworking of such poetic forms in tragedy and comedy; and how various types of performance contributed to transmission of written texts of the poems until they were collected and edited by Alexandrian scholars in the third and second centuries BC. 410 0$aTrends in classics.$pSupplementary volumes ;$vv. 10. 606 $aGreek poetry$xHistory and criticism$xTheory, etc 606 $aGreek language$xMetrics and rhythmics 606 $aGreek language$xAccents and accentuation 606 $aDrama$xChorus (Greek drama) 606 $aGreek drama (Tragedy)$xHistory and criticism 608 $aElectronic books. 615 0$aGreek poetry$xHistory and criticism$xTheory, etc. 615 0$aGreek language$xMetrics and rhythmics. 615 0$aGreek language$xAccents and accentuation. 615 0$aDrama$xChorus (Greek drama) 615 0$aGreek drama (Tragedy)$xHistory and criticism. 676 $a884/.0109 686 $aFE 4231$2rvk 701 $aAthanassaki$b Lucia$f1957-$01048684 701 $aBowie$b Ewen$01048685 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910461433703321 996 $aArchaic and classical choral song$92477133 997 $aUNINA LEADER 05459nam 2200661Ia 450 001 9910830737403321 005 20210209181003.0 010 $a1-282-16506-2 010 $a9786612165061 010 $a0-470-61119-7 010 $a0-470-39382-3 035 $a(CKB)2550000000005884 035 $a(EBL)477672 035 $a(SSID)ssj0000335046 035 $a(PQKBManifestationID)11272597 035 $a(PQKBTitleCode)TC0000335046 035 $a(PQKBWorkID)10271369 035 $a(PQKB)10114410 035 $a(MiAaPQ)EBC477672 035 $a(MiAaPQ)EBC4037004 035 $a(PPN)19071316X 035 $a(OCoLC)521032626 035 $a(EXLCZ)992550000000005884 100 $a20071119d2008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aBayesian approach to inverse problems$b[electronic resource] /$fedited by Jerome Idier 210 $aLondon $cISTE ;$aHoboken, NJ $cJohn Wiley$dc2008 215 $a1 online resource (383 p.) 225 1 $aDigital signal and image processing series. ;$vv.35 300 $aDescription based upon print version of record. 311 $a1-84821-032-9 320 $aIncludes bibliographical references and index. 327 $aBayesian Approach to Inverse Problems; Table of Contents; Introduction; Part I. Fundamental Problems and Tools; Chapter 1. Inverse Problems, Ill-posed Problems; 1.1. Introduction; 1.2. Basic example; 1.3. Ill-posed problem; 1.3.1. Case of discrete data; 1.3.2. Continuous case; 1.4. Generalized inversion; 1.4.1. Pseudo-solutions; 1.4.2. Generalized solutions; 1.4.3. Example; 1.5. Discretization and conditioning; 1.6. Conclusion; 1.7. Bibliography; Chapter 2. Main Approaches to the Regularization of Ill-posed Problems; 2.1. Regularization; 2.1.1. Dimensionality control 327 $a2.1.1.1. Truncated singular value decomposition2.1.1.2. Change of discretization; 2.1.1.3. Iterative methods; 2.1.2. Minimization of a composite criterion; 2.1.2.1. Euclidian distances; 2.1.2.2. Roughness measures; 2.1.2.3. Non-quadratic penalization; 2.1.2.4. Kullback pseudo-distance; 2.2. Criterion descent methods; 2.2.1. Criterion minimization for inversion; 2.2.2. The quadratic case; 2.2.2.1. Non-iterative techniques; 2.2.2.2. Iterative techniques; 2.2.3. The convex case; 2.2.4. General case; 2.3. Choice of regularization coefficient; 2.3.1. Residual error energy control 327 $a2.3.2. "L-curve" method2.3.3. Cross-validation; 2.4. Bibliography; Chapter 3. Inversion within the Probabilistic Framework; 3.1. Inversion and inference; 3.2. Statistical inference; 3.2.1. Noise law and direct distribution for data; 3.2.2. Maximum likelihood estimation; 3.3. Bayesian approach to inversion; 3.4. Links with deterministic methods; 3.5. Choice of hyperparameters; 3.6. A priori model; 3.7. Choice of criteria; 3.8. The linear, Gaussian case; 3.8.1. Statistical properties of the solution; 3.8.2. Calculation of marginal likelihood; 3.8.3. Wiener filtering; 3.9. Bibliography 327 $aPart II. DeconvolutionChapter 4. Inverse Filtering and Other Linear Methods; 4.1. Introduction; 4.2. Continuous-time deconvolution; 4.2.1. Inverse filtering; 4.2.2. Wiener filtering; 4.3. Discretization of the problem; 4.3.1. Choice of a quadrature method; 4.3.2. Structure of observation matrix H; 4.3.3. Usual boundary conditions; 4.3.4. Problem conditioning; 4.3.4.1. Case of the circulant matrix; 4.3.4.2. Case of the Toeplitz matrix; 4.3.4.3. Opposition between resolution and conditioning; 4.3.5. Generalized inversion; 4.4. Batch deconvolution; 4.4.1. Preliminary choices 327 $a4.4.2. Matrix form of the estimate4.4.3. Hunt's method (periodic boundary hypothesis); 4.4.4. Exact inversion methods in the stationary case; 4.4.5. Case of non-stationary signals; 4.4.6. Results and discussion on examples; 4.4.6.1. Compromise between bias and variance in 1D deconvolution; 4.4.6.2. Results for 2D processing; 4.5. Recursive deconvolution; 4.5.1. Kalman filtering; 4.5.2. Degenerate state model and recursive least squares; 4.5.3. Autoregressive state model; 4.5.3.1. Initialization; 4.5.3.2. Criterion minimized by Kalman smoother; 4.5.3.3. Example of result 327 $a4.5.4. Fast Kalman filtering 330 $aMany scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a material from acoustic or electromagnetic measurements at its surface is an essential problem of non-destructive evaluation. The concept of inverse problems precisely originates from the idea of inverting the laws of physics to recover a quantity of interest from measurable data.Unfortunately, most inverse problems are ill-posed, which means that precise and stable solutions are not easy to devise 410 0$aDigital signal and image processing series. 606 $aInverse problems (Differential equations) 606 $aBayesian statistical decision theory 615 0$aInverse problems (Differential equations) 615 0$aBayesian statistical decision theory. 676 $a515/.357 676 $a519.542 701 $aIdier$b Je?ro?me$01593281 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830737403321 996 $aBayesian approach to inverse problems$93913340 997 $aUNINA LEADER 04085nam 22006495 450 001 9910514182703321 005 20251009094401.0 010 $a981-334-268-4 024 7 $a10.1007/978-981-33-4268-2 035 $a(CKB)5680000000000389 035 $a(MiAaPQ)EBC6838935 035 $a(Au-PeEL)EBL6838935 035 $a(OCoLC)1291314416 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/77349 035 $a(ODN)ODN0010066878 035 $a(oapen)doab77349 035 $a(DE-He213)978-981-33-4268-2 035 $a(EXLCZ)995680000000000389 100 $a20211218d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAgricultural Value Chains in India $eEnsuring Competitiveness, Inclusiveness, Sustainability, Scalability, and Improved Finance /$fedited by Ashok Gulati, Kavery Ganguly, Harsh Wardhan 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (324 pages) 225 1 $aIndia Studies in Business and Economics,$x2198-0020 311 08$a981-334-267-6 327 $aChapter 1: Introduction -- Chapter 2: Evaluating Agricultural Value Chains on CISS-F Framework -- Chapter 3: Decoding Value Chains of Tomatoes, Onions and Potatoes (TOP) -- Chapter 4: Towards an Efficient Banana and Mango Value Chains in India -- Chapter 5: Analysis of Grapes and Pomegranates Value Chain -- Chapter 6: Towards Creation of an Efficient Dairy Value Chain -- Chapter 7: Poultry Value Chain in India -- Chapter 8: Pulses in India: A Value Chain Analysis -- Chapter 9: Developing Agricultural Value Chains in India- the Way Forward. 330 $aThis open access book provides a clear holistic conceptual framework of CISS-F (competitiveness, inclusiveness, sustainability, scalability and access to finance) to analyse the efficiency of value chains of high value agricultural commodities in India. It is based on the understanding that agriculture is an integrated system that connects farming with logistics, processing and marketing. Farmer?s welfare being central to any agricultural policy makes it very pertinent to study how a value chain works and can be strengthened further to realize this policy goal. This book adds value to the existing research by studying the value chains end-to-end across a wide spectrum of agricultural commodities with the holistic lens of CISS-F. It is not enough that a value chain is competitive but not inclusive or it is competitive and inclusive but not sustainable. The issue of scalability is very critical to achieve macro gains in terms of greater farmer outreach and sectoral growth. The research undertaken here brings out some very useful insights for policymaking in terms of what needs to be done better to steer the agricultural value chains towards being more competitive, inclusive, sustainable and scalable. The value chain specific research findings help draw very nuanced policy recommendations as well as present a big picture of the future direction of policy making in agriculture. . 410 0$aIndia Studies in Business and Economics,$x2198-0020 606 $aAgriculture$xEconomic aspects 606 $aBusiness logistics 606 $aSustainability 606 $aAgricultural Economics 606 $aSupply Chain Management 606 $aSustainability 615 0$aAgriculture$xEconomic aspects. 615 0$aBusiness logistics. 615 0$aSustainability. 615 14$aAgricultural Economics. 615 24$aSupply Chain Management. 615 24$aSustainability. 676 $a338.1 686 $aBUS070010$aBUS087000$aSCI026000$2bisacsh 700 $aGulati$b Ashok$0854101 701 $aGanguly$b Kavery$01075717 701 $aWardhan$b Harsh$01075718 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910514182703321 996 $aAgricultural Value Chains in India$92585553 997 $aUNINA