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Academic Journal

Theoretical and Practical Aspects of Space-Time DG-SEM Implementations

Authors : Versbach, Lea Miko; Linders, Viktor; Klöfkorn, Robert

Source: The SMAI Journal of computational mathematics, 9 (2023) p 61-93

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Academic Journal

Erratum “Pure extensions of locally compact abelian groups” [Rend. Sem. Mat. Univ. Padova 116 (2006), 31-40]

Authors : Loth, Peter

Source: Rendiconti del Seminario Matematico della Università di Padova, 118 (2007) p 267-267

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Academic Journal

Erratum to : “The finite free extension of artinian $K$-algebras with the strong Lefschetz property” [Rend. Sem. Mat. Univ. Padova 110 (2003), 119-146]

Authors : Harima, Tadahito; Watanabe, Junzo

Source: Rendiconti del Seminario Matematico della Università di Padova, 112 (2004) p 237-238

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Academic Journal

Addendum to : “Prime graph components of finite almost simple groups” [Rend. Sem. Mat. Univ. Padova 102 (1999), 1-22]

Authors : Lucido, Maria Silvia

Source: Rendiconti del Seminario Matematico della Università di Padova, 107 (2002) p 189-190

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Academic Journal

Algorithmes EM et SEM pour un mélange censuré de distributions de défaillances. Application à la fiabilité d'équipements électroniques en période de jeunesse

Authors : Chauveau, Didier

Source: Revue de Statistique Appliquée, 40, no. 2 (1992) p 67-76

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Academic Journal

L'algorithme SEM : un algorithme d'apprentissage probabiliste pour la reconnaissance de mélange de densités

Authors : Celeux, Gilles; Diebolt, Jean

Source: Revue de Statistique Appliquée, 34, no. 2 (1986) p 35-52

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Theoretical and Practical Aspects of Space-Time DG-SEM Implementations

Erratum “Pure extensions of locally compact abelian groups” [Rend. Sem. Mat. Univ. Padova 116 (2006), 31-40]

Erratum to : “The finite free extension of artinian $K$-algebras with the strong Lefschetz property” [Rend. Sem. Mat. Univ. Padova 110 (2003), 119-146]

Addendum to : “Prime graph components of finite almost simple groups” [Rend. Sem. Mat. Univ. Padova 102 (1999), 1-22]

Algorithmes EM et SEM pour un mélange censuré de distributions de défaillances. Application à la fiabilité d'équipements électroniques en période de jeunesse

L'algorithme SEM : un algorithme d'apprentissage probabiliste pour la reconnaissance de mélange de densités

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