Relevant bibliographies by topics / Gibbir

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Gibbir'

Author: Grafiati
Published: 4 June 2021
Last updated: 21 February 2023

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Journal articles on the topic "Gibbir"

1

Bourman, R. P., and A. R. Milnes. "Gibber Plains." Australian Geographer 16, no. 3 (May 1985): 229–32. http://dx.doi.org/10.1080/00049188508702877.

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Baluja, Shipra, Kapil Bhesaniya, Rahul Bhalodia, and Sumitra Chanda. "Solubility of Butylated Hydroxytoluene (BHT) in Aqueous and Alcohol Solutions from 293.15 to 313.15 K." International Letters of Chemistry, Physics and Astronomy 28 (February 2014): 48–58. http://dx.doi.org/10.18052/www.scipress.com/ilcpa.28.48.

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The solubility of Butylated hydroxyl toluene in aqueous and alcohol solutions were determined at different temperatures (293.15 to 313.15) K. Using Van’t Hoff and Gibb’s equations, some thermodynamic functions such as Gibbs energy, enthalpy and entropy of dissolution, and of mixing of Butylated hydroxyl toluene in aqueous and alcohol solutions, were evaluated from solubility data. The solubility was greater in butanol and minimum in water. The enthalpies, entropy and Gibb’s energy of dissolution were positive for all solvents.
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Baluja, Shipra, Kapil Bhesaniya, Rahul Bhalodia, and Sumitra Chanda. "Solubility of Butylated Hydroxytoluene (BHT) in Aqueous and Alcohol Solutions from 293.15 to 313.15 K." International Letters of Chemistry, Physics and Astronomy 28 (February 19, 2014): 48–58. http://dx.doi.org/10.56431/p-c5b9qj.

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The solubility of Butylated hydroxyl toluene in aqueous and alcohol solutions were determined at different temperatures (293.15 to 313.15) K. Using Van’t Hoff and Gibb’s equations, some thermodynamic functions such as Gibbs energy, enthalpy and entropy of dissolution, and of mixing of Butylated hydroxyl toluene in aqueous and alcohol solutions, were evaluated from solubility data. The solubility was greater in butanol and minimum in water. The enthalpies, entropy and Gibb’s energy of dissolution were positive for all solvents.
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PARKE, C. N. "Edward Gibbon by Edward Gibbon." Modern Language Quarterly 50, no. 1 (January 1, 1989): 23–37. http://dx.doi.org/10.1215/00267929-50-1-23.

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Tomlinson, Charles. "Gibbet." Hudson Review 49, no. 2 (1996): 206. http://dx.doi.org/10.2307/3852445.

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Reinhold, Meyer, and J. W. Barrow. "Gibbon." Classical World 80, no. 1 (1986): 56. http://dx.doi.org/10.2307/4349985.

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Walton, W. J. "Peeps from an Aboriginal Gibber Gunyah." Mankind 1, no. 4 (February 10, 2009): 91–94. http://dx.doi.org/10.1111/j.1835-9310.1932.tb00877.x.

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Casalena, Maria Pia. "Gibbon all’italiana." Cromohs - Cyber Review of Modern Historiography 24 (June 8, 2022): 1–20. http://dx.doi.org/10.36253/cromohs-12753.

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This article deals with the various forms of manipulation that the Italian edition of Gibbon's masterpiece demanded in the frame of Restoration Italy. The first edition of the Italian translation from Tuscany is considered too, in order to display how Italian translators and publishers succeed in the huge censorship examination. At the same moment, the article deals with the Catholic former response to Gibbon, in a comparison with the British reactions edited by Womersley. Finally, the Italian edition of Gibbon is focused in an enlarged outcast of the translation of history during the first decays of 19th century Italy.
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Carraway, L. N., and B. J. Verts. "Neurotrichus gibbsii." Mammalian Species, no. 387 (November 6, 1991): 1. http://dx.doi.org/10.2307/3504108.

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Goldsmith, H. J. "Norman Gibbon." BMJ 338, mar31 1 (March 31, 2009): b1290. http://dx.doi.org/10.1136/bmj.b1290.

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Dissertations / Theses on the topic "Gibbir"

1

Wako, Adi Liban, University of Western Sydney, College of Social and Health Sciences, and School of Applied Social and Human Sciences. "Ideology as commodity : industry of a theocracy and production of famines in Ethiopia." THESIS_CSHS_ASH_WakoAdi-L.xml, 2003. http://handle.uws.edu.au:8081/1959.7/452.

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This work introduces an alternative paradigm that claims that the primary industry of imperial Ethiopia has been (and still is) one that has evolved around the Abyssinian national mission vis-a-vis the populations it rules from a point of conquest. Abyssinia, like Catholic Spain in the Americas, carried out a series of 'civilising' missions (Christianising), that has spanned centuries to modern times. Around a theocratic mission evolved a service type industry, the author calls theo-industry. On that basis, the work demonstrates how well-known categories of 'land-tenure', namely, the gult/goolt, the gultenya/gooltenya, the rist, the ristenya, the gabbar and related others are categories of a fiscal system of theo-industry, not of an agrarian system or agrarian industry. It is argued how these rather complex categories belong in the realm of wages and pensions of a service-type industry, not in those of agriculture. By failing to establish the functional link between agriculture and the national mission of the rulers, the scholars of Ethiopian studies have so far been unable to identify this 'elusive' but all-pervasive primary industry of Ethiopia. That in turn, the author argues, has had a rub-off effect in hindering a clear and comprehensive understanding of issues such as poverty and famine. The central topic of this work is the 'identification' of this 'elusive' industry. The study of its evolution, set in historical grounds, of its dynamics and the intricate maze of multi-natured relations is attempted. On this basis, the option of creating an independent (from theo-industry), and more importantly, renewable agricultural industry is proposed as the key to tackling chronic levels of poverty and famine in Ethiopia
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Johnston, Ian Andrew. "Gibber." Thesis, University of Dundee, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.252137.

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Wako, Adi Liban. "Ideology as commodity : industry of a theocracy and production of famines in Ethiopia." Thesis, View thesis, 2003. http://handle.uws.edu.au:8081/1959.7/452.

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This work introduces an alternative paradigm that claims that the primary industry of imperial Ethiopia has been (and still is) one that has evolved around the Abyssinian national mission vis-a-vis the populations it rules from a point of conquest. Abyssinia, like Catholic Spain in the Americas, carried out a series of 'civilising' missions (Christianising), that has spanned centuries to modern times. Around a theocratic mission evolved a service type industry, the author calls theo-industry. On that basis, the work demonstrates how well-known categories of 'land-tenure', namely, the gult/goolt, the gultenya/gooltenya, the rist, the ristenya, the gabbar and related others are categories of a fiscal system of theo-industry, not of an agrarian system or agrarian industry. It is argued how these rather complex categories belong in the realm of wages and pensions of a service-type industry, not in those of agriculture. By failing to establish the functional link between agriculture and the national mission of the rulers, the scholars of Ethiopian studies have so far been unable to identify this 'elusive' but all-pervasive primary industry of Ethiopia. That in turn, the author argues, has had a rub-off effect in hindering a clear and comprehensive understanding of issues such as poverty and famine. The central topic of this work is the 'identification' of this 'elusive' industry. The study of its evolution, set in historical grounds, of its dynamics and the intricate maze of multi-natured relations is attempted. On this basis, the option of creating an independent (from theo-industry), and more importantly, renewable agricultural industry is proposed as the key to tackling chronic levels of poverty and famine in Ethiopia
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Eskelinen, Mareija. "Herded Gibbs and discretized herded Gibbs sampling." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/44896.

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Statistical inference is at the heart of the probabilistic programming approach to artificial intelligence; as far as statistical inference is concerned, the Gibbs sampler is one of the most widely applicable and popular random sampling techniques. On the flip side, deterministic sampling is still nascent and has yet to be widely accepted into the field of Bayesian inference. In this thesis, we advance the domain of deterministic sampling by discussing and evaluating two deterministic sampling techniques inspired by the Gibbs sampler. The first technique is the recently-introduced herded Gibbs sampler and the second is the novel discretized herded Gibbs sampler. Herded Gibbs sampling is an entirely deterministic algorithm with an impressive O(1/T) convergence rate for both models with independent variables and fully connected probabilistic graphical models. However, the convergence for herded Gibbs on sparsely connected probabilistic graphical models is still an open problem. Additionally, the computational complexity of herded Gibbs increases exponentially with the connectivity of the probabilistic graphical model, making it better suited for partially connected graphical models. We empirically demonstrate that herded Gibbs outperforms Gibbs on partially connected probabilistic graphical models for the tasks of image denoising with Markov Random Fields and named entity recognition with Conditional Random Fields. Furthermore, we develop discretized herded Gibbs as a variant of herded Gibbs that attempts to reduce the spatial complexity by approximating herded Gibbs. Though discretized herded Gibbs achieves linear storage requirements and is capable of fast initial convergence rates, it can only approximate the target up to a finite accuracy. This thesis highlights the power of one recent deterministic sampling algorithm and shows that deterministic sampling with good space and time complexity remains an elusive goal.
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Morisi, Silvia. "L'effetto Gibbs." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/9722/.

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In questa tesi studiamo l'effetto Gibbs. Tale fenomeno si manifesta tramite la presenza di sovra-oscillazioni nei polinomi di Fourier di funzioni che presentano discontinuità di prima specie. La differenza tra il massimo ed il minimo del polinomio di Fourier di tali funzioni, in prossimità di un punto di discontinuità della funzione, è strettamente maggiore del salto della funzione in quel punto, anche per n che tende all'infinito. Per attenuare le sovra-oscillazioni delle somme parziali di Fourier si utilizzano le serie di Fejer e si vede come effettivamente il fenomeno di Gibbs scompaia.
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Console, Sarah. "L'effetto Gibbs." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15924/.

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In questa trattazione viene definito l'effetto Gibbs: un fenomeno di sovraoscillazione che si presenta nei polinomi di Fourier associati a funzioni periodiche, regolari a tratti con punti di discontinuità di prima specie. Si dimostra inoltre come eliminare l'effetto Gibbs utilizzando i polinomi di Fejér invece dei polinomi di Fourier.
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Scarpellini, Damiano. "L'effetto Gibbs." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/22153/.

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L'effetto Gibbs è un fenomeno oscillatorio che riguarda i polinomi di Fourier. In particolare, ogni volta che si approssima una funzione periodica e regolare a tratti con il suo polinomio di Fourier associato, si può notare che, in prossimità dei punti di discontinuità di tipo salto di tale funzione, il polinomio presenta delle sovraelongazioni che non si attenuano all'aumentare del grado. Lo studio di questo fenomeno è stato diviso in tre parti. Nel primo capitolo vengono studiati i polinomi e le serie di Fourier e vengono forniti i principali risultati di convergenza. Il secondo capitolo introduce il fenomeno di Gibbs attraverso due esempi particolari e si conclude con l'analisi del caso generale per funzioni periodiche e regolari a tratti. Infine, nel terzo e ultimo capitolo, vengono studiate le somme di Fejér e si dimostra come queste siano una soluzione all'effetto Gibbs.
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Mangianti, Marco. "L'effetto Gibbs." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/7904/.

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Nella tesi ho trattato l'effetto Gibbs,ovvero la presenza di forti oscillazioni nei polinomi di Fourier di funzioni con discontinuità di prima specie. Infine ho introdotto le somme di Fejér osservando come con questi polinomi trigonometrici si possa eliminare l'effetto Gibbs.
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Roberts, Charlotte Olivia. "Edward Gibbon : history and identity." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610425.

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Fang, Jing. "Herded Gibbs sampling." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/43188.

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The Gibbs sampler is one of the most popular algorithms for inference in statistical models. In this thesis, we introduce a herding variant of this algorithm that is entirely deterministic. We demonstrate, with simple examples, that herded Gibbs exhibits better convergence behavior for approximating the marginal distributions than Gibbs sampling. In particular, image denoising exemplifies the effectiveness of herded Gibbs as an inference technique for Markov Random Fields (MRFs). Also, we adopt herded Gibbs as the inference engine for Conditional Random Fields (CRFs) in Named Entity Recognition (NER) and show that it is competitive with the state of the art. The conclusion is that herded Gibbs, for graphical models with nodes of low degree, is very close to Gibbs sampling in terms of the complexity of the code and computation, but that it converges much faster.
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Books on the topic "Gibbir"

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George, MacDonald. Sir Gibbie. Eureka, Calif: Sunrise Books, 1988.

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George, MacDonald. Sir Gibbie. Phillipsburg, N.J: P & R Pub., 2001.

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1824-1905, MacDonald George, and Wynne Patrick ill, eds. Sir Gibbie. Portland, Or: Multnomah Press, 1992.

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George, MacDonald. Sir Gibbie. Whitethorn, Calif: Johannesen, 1992.

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Gibbon. Oxford: Oxford University Press, 1985.

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Gibbon. New York: Harper, 1990.

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Gibier: Roman. Paris]: Gallimard, 2013.

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Le Gibier. Montréal: Grolier, 1987.

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Le gibier. Colmar: Éd. SAEP, 1995.

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George, MacDonald. Sir Gibbie. IndyPublish.com, 2005.

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Book chapters on the topic "Gibbir"

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Shekhar, Shashi, and Hui Xiong. "GIbb's Sampling." In Encyclopedia of GIS, 408. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_528.

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Meyer, Michael. "Gibbon, Edward." In Kindlers Literatur Lexikon (KLL), 1. Stuttgart: J.B. Metzler, 2020. http://dx.doi.org/10.1007/978-3-476-05728-0_8609-1.

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Weber, Wolfgang E. J. "Edward Gibbon." In Kindler Kompakt Klassiker der Geschichtsschreibung, 114–16. Stuttgart: J.B. Metzler, 2016. http://dx.doi.org/10.1007/978-3-476-05530-9_30.

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Kinzel, Till. "Gibbon, Edward." In Encyclopedia of the Philosophy of Law and Social Philosophy, 1–4. Dordrecht: Springer Netherlands, 2022. http://dx.doi.org/10.1007/978-94-007-6730-0_1008-1.

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Adler, Matthew D., and John A. Weymark. "Allan Gibbard." In Studies in Choice and Welfare, 171–207. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62769-0_11.

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McGowan, Ian. "Edward Gibbon." In The Restoration and Eighteenth Century, 474–87. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-20143-3_33.

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Tame, Jeremy R. H. "Gibbs." In Approaches to Entropy, 49–75. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2315-7_4.

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Bernhard, Pierre, and Marc Deschamps. "Gibbard-Satterthwaite Theorem." In Encyclopedia of Law and Economics, 957–63. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4614-7753-2_755.

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Bernhard, Pierre, and Marc Deschamps. "Gibbard-Satterthwaite Theorem." In Encyclopedia of Law and Economics, 1–7. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-7883-6_755-1.

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Bernhard, Pierre, and Marc Deschamps. "Gibbard-Satterthwaite Theorem." In Encyclopedia of Law and Economics, 1–7. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-7883-6_755-2.

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Conference papers on the topic "Gibbir"

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Roberts, Charles, Matthew Wright, JoAnn Kuchera-Morin, and Tobias Höllerer. "Gibber." In MM '14: 2014 ACM Multimedia Conference. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2647868.2654949.

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Conklin, Jeff, and Michael L. Begeman. "gIBIS." In Proceeding of the ACM conference. New York, New York, USA: ACM Press, 1987. http://dx.doi.org/10.1145/317426.317444.

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Gaggioli, Richard A., David H. Richardson, Anthony J. Bowman, and David M. Paulus. "Available Energy: I. Gibbs Revisited; II. Gibbs Extended." In ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0838.

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Abstract The concept of available energy, as defined by Gibbs (1873b) is revisited. He gave representations of available energy for two circumstances. The first was the available energy of a “body,” for the case when a body, alone, is in a nonequilibrium condition and therefore has energy available. In turn, he presented the available energy of “the body and medium,” for the energy which is available because a body is not in equilibrium with some arbitrarily specified medium. Gibbs’ representations were graphical. Since Gibbs, representations with formulas have been developed and are common, for the “available energy of body and medium.” Gaggioli (1998a, b) has developed formulas which are more general, to represent “the available energy of the body (alone)” and to assign an exergy to subsystems of the body as a measure of each sub-system’s contribution to the available energy. In contrast to the available energy, exergy is an additive property, so that balance equations can be written. And the formulas are independent from any “medium,” which is important both theoretically and practically — because of its relevance to proper selection of “the dead state.” These issues are discussed and extended, after reviewing Gibbs development of available energy and additional concepts which he introduced, such as “available vacuum” and “capacity for entropy.” It is argued that these “availabililty” and “capacity” concepts are all equivalent to one another. In turn, because of interconvertability, it is seen that available energy is something more fundamental than “maximum useful work.” Furthermore, it is illustrated that available energy, equilibrium and stability, and thermostatic property relations are relative, to “constraints.”
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Martino, Luca, Victor Elvira, and Gustau Camps-Valls. "Recycling Gibbs sampling." In 2017 25th European Signal Processing Conference (EUSIPCO). IEEE, 2017. http://dx.doi.org/10.23919/eusipco.2017.8081191.

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Carrion, P., G. Jacovitti, and A. Nori. "Gaussian versus gibbs geotomography." In 55th EAEG Meeting. European Association of Geoscientists & Engineers, 1993. http://dx.doi.org/10.3997/2214-4609.201411616.

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Chierichetti, Flavio, Ravi Kumar, and Silvio Lattanzi. "The Gibbs-Rand Model." In SIGMOD/PODS '22: International Conference on Management of Data. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3517804.3526227.

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Wolf, Laura M., and Marcus Baum. "Continuous Herded Gibbs Sampling." In 2021 IEEE 24th International Conference on Information Fusion (FUSION). IEEE, 2021. http://dx.doi.org/10.23919/fusion49465.2021.9626934.

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De Sa, Christopher, Kunle Olukotun, and Christopher Ré. "Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/672.

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Gibbs sampling is a Markov chain Monte Carlo technique commonly used for estimating marginal distributions. To speed up Gibbs sampling, there has recently been interest in parallelizing it by executing asynchronously. While empirical results suggest that many models can be efficiently sampled asynchronously, traditional Markov chain analysis does not apply to the asynchronous case, and thus asynchronous Gibbs sampling is poorly understood. In this paper, we derive a better understanding of the two main challenges of asynchronous Gibbs: bias and mixing time. We show experimentally that our theoretical results match practical outcomes.
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Mossel, Elchanan, and Miklós Z. Rácz. "A quantitative gibbard-satterthwaite theorem without neutrality." In the 44th symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2213977.2214071.

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Bade, Sophie, and Yannai A. Gonczarowski. "Gibbard-Satterthwaite Success Stories and Obvious Strategyproofness." In EC '17: ACM Conference on Economics and Computation. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3033274.3085104.

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Reports on the topic "Gibbir"

1

Mossel, Elchanan, and Miklos Racz. A Quantitative Gibbard-Satterthwaite Theorem Without Neutrality. Fort Belvoir, VA: Defense Technical Information Center, May 2014. http://dx.doi.org/10.21236/ada605331.

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Osterud, Erin. Gibbon classification : the issue of species and subspecies. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5809.

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Gelfand, Alan E., and Adrian F. Smith. Gibbs Sampling for Marginal Posterior Expectations. Fort Belvoir, VA: Defense Technical Information Center, November 1991. http://dx.doi.org/10.21236/ada243212.

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Raftery, Adrian E., and Steven Lewis. How Many Iterations in the Gibbs Sampler? Fort Belvoir, VA: Defense Technical Information Center, September 1991. http://dx.doi.org/10.21236/ada640705.

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Cheng, Hao, Rohan L. Fernando, and Dorian J. Garrick. Three Different Gibbs Samplers for BayesB Genomic Prediction. Ames (Iowa): Iowa State University, January 2014. http://dx.doi.org/10.31274/ans_air-180814-1152.

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Andrzejewski, D. Accelerated Gibbs Sampling for Infinite Sparse Factor Analysis. Office of Scientific and Technical Information (OSTI), September 2011. http://dx.doi.org/10.2172/1026471.

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McFadden, G. B., and A. A. Wheeler. On the Gibbs adsorption equation and diffuse interface models. Gaithersburg, MD: National Institute of Standards and Technology, 2001. http://dx.doi.org/10.6028/nist.ir.6732.

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Kuo, Lynn, and Adrian F. Smith. Bayesian Computations in Survival Models via the Gibbs Sampler. Fort Belvoir, VA: Defense Technical Information Center, July 1991. http://dx.doi.org/10.21236/ada242343.

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Woody, Spencer, Novin Ghaffari, and Lauren Hund. Bayesian Model Calibration for Extrapolative Prediction via Gibbs Posteriors. Office of Scientific and Technical Information (OSTI), September 2019. http://dx.doi.org/10.2172/1763261.

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Gelfand, Alan E., Susan E. Hills, Amy Racine-Poon, and Adrian F. Smith. Illustration of Bayesian Inference in Normal Data Models Using Gibbs Sampling. Fort Belvoir, VA: Defense Technical Information Center, September 1989. http://dx.doi.org/10.21236/ada212630.

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