985 resultados para Carlo Felice, King of Sardinia.


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Verses in English signed: Frances Negri Gobbet. Italian translation signed: Aretofilo Dianeo (?--print unclear)

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Mode of access: Internet.

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"Forma il 3e dei 5 volumi della Storia del Piemonte del 1814 al giorni nostri, che l'àutore pubblicò a Torino ... nel 1850."

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Mode of access: Internet.

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This paper argues in detail for the identification of Peftjauawybast, King of Nen-nesut (fl. 728/720 BC ), with Peftjauawybast, High Priest of Ptah in Memphis (fl. c. 790–780 BC2), known from the Apis stela of year 28 of Shoshenq III. This identification ties in with a significant lowering of the accepted dates for the kings from Shoshenq III, Osorkon III and Takeloth III to Shoshenq V, and the material culture associated with them. Such a shift seems to be supported by stylistic and genealogical evidence. As a consequence, it is further suggested that the Master of Shipping at Nen-nesut, Pediese i, was perhaps related by descent and marriage to the family of the High Priests of Memphis and King Peftjauawybast.

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Monte Carlo burnup codes use various schemes to solve the coupled criticality and burnup equations. Previous studies have shown that the simplest methods, such as the beginning-of-step and middle-of-step constant flux approximations, are numerically unstable in fuel cycle calculations of critical reactors. Here we show that even the predictor-corrector methods that are implemented in established Monte Carlo burnup codes can be numerically unstable in cycle calculations of large systems. © 2013 Elsevier Ltd. All rights reserved.

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UANL

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The Ivory-billed Woodpecker has long held a special place in the psyche of North American conservation, eliciting unusually colorful prose, even from scientists, as an icon of the wild. The reverence in which it was held did little to slow the habitat loss that led to its apparent extinction 60 years ago. A consequence of the emotion and attention associated with the amazing rediscovery of this species is that conservation biologists will be under considerable pressure to make good on this “second chance.” This poses a challenge to conservation paradigms that has important political consequences. First, the decline of the species is due to habitat loss, recovery from which has been much more seldom achieved than recovery from declines due to impacts on vital rates. This challenge is exacerbated by the enormous area requirements of the species. Second, the species at best exists as a critically small population. It will be difficult to make the case that a viable population can be established without undermining the small population paradigm that underlies conservation strategies for many other species. This has already resulted in some political backlash. Conservation of this species is best based on the one point of clear scientific consensus, that habitat is limiting, but this may result in additional political backlash because of conflicts with other land uses.

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In this paper we deal with performance analysis of Monte Carlo algorithm for large linear algebra problems. We consider applicability and efficiency of the Markov chain Monte Carlo for large problems, i.e., problems involving matrices with a number of non-zero elements ranging between one million and one billion. We are concentrating on analysis of the almost Optimal Monte Carlo (MAO) algorithm for evaluating bilinear forms of matrix powers since they form the so-called Krylov subspaces. Results are presented comparing the performance of the Robust and Non-robust Monte Carlo algorithms. The algorithms are tested on large dense matrices as well as on large unstructured sparse matrices.