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1. |
Record Nr. |
UNISALENTO991001447599707536 |
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Autore |
Besta, Enrico |
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Titolo |
La Sardegna medievale / Enrico Besta |
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Pubbl/distr/stampa |
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Descrizione fisica |
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Altri autori (Persone) |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Ripr. facs. dell'ed.: Palermo, 1908-1909 |
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Nota di contenuto |
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Vol. I: Le vicende politiche dal 450 al 1326./Introduzione del Prof. Anonio Marongiu dell'Università di Pisa |
Vol. II: Le istituzioni politiche,economiche, giuridiche, sociali . |
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2. |
Record Nr. |
UNINA9910536695703321 |
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Autore |
Pukite Paul |
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Titolo |
Mathematical geoenergy : oil discovery, depletion and renewable energy analysis / / Paul Pukite, Dennis Coyne, Daniel Challou |
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Pubbl/distr/stampa |
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Hoboken, New Jersey : , : Wiley, , 2019 |
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ISBN |
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1-119-43433-5 |
1-119-43430-0 |
1-119-43435-1 |
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Descrizione fisica |
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1 online resource (376 pages) |
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Collana |
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Geophysical Monograph ; ; 241 |
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Disciplina |
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Soggetti |
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Power resources - Mathematical models |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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"GeoEnergy encompasses the range of energy technologies and sources that interact with the geological subsurface. Fossil fuel availability studies have historically lacked concise modeling, tending instead toward heuristics and overly-complex processes. Mathematical GeoEnergy: Oil Discovery, Depletion and Renewal details leading-edge research based on a mathematically-oriented approach to geoenergy analysis. Volume highlights include: Applies a formal mathematical framework to oil discovery, depletion, and analysis; employs first-order applied physics modeling, decreasing computational resource requirements; illustrates model interpolation and extrapolation to fill out missing or indeterminate data; covers both stochastic and deterministic mathematical processes for historical analysis and prediction; emphasizes the importance of up-to-date data, accessed through the companion website; demonstrates the advantages of mathematical modeling over conventional heuristic and empirical approaches; and accurately analyzes the past and predicts the future of geoenergy depletion and renewal using models derived from observed production data"--Provided by publisher |
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