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  1. Vor 4 Tagen · Die Folge ist echt vorperiodisch für abzählbar viele Parameter, die oft Misiurewicz-Thurston-Punkte genannt werden (nach Michał Misiurewicz und William Thurston). Dazu gehören die „Antennenspitzen“ wie der Punkt = ganz links und Verzweigungspunkte der Mandelbrot-Menge.

  2. en.wikipedia.org › wiki › OrbifoldOrbifold - Wikipedia

    23. Mai 2024 · Definitions of orbifold have been given several times: by Ichirō Satake in the context of automorphic forms in the 1950s under the name V-manifold; by William Thurston in the context of the geometry of 3-manifolds in the 1970s when he coined the name orbifold, after a vote by his students; and by André Haefliger in the 1980s in the ...

  3. 14. Mai 2024 · In particular, we characterize when two PL homeomorphic cubulations are equivalent by Pachner moves by showing the question to be equivalent to the existence of cobordisms between generic immersions of hypersurfaces. This solves a question and conjecture of Habegger and Funar.

  4. Vor 2 Tagen · List of unsolved problems in mathematics. Many mathematical problems have been stated but not yet solved. These problems come from many areas of mathematics, such as theoretical physics, computer science, algebra, analysis, combinatorics, algebraic, differential, discrete and Euclidean geometries, graph theory, group theory, model ...

  5. Vor 5 Tagen · Die Liste der Vortragenden auf den Internationalen Mathematikerkongressen führt eingeladene Sprecher (englisch Invited Speakers) und Plenarsprecher auf. Davon abgesehen gab es auch auf verschiedenen Kongressen die Möglichkeit, kürzere Beiträge einzureichen, sowie Satellitenkonferenzen. Für die Plenarvorträge existiert außerdem die Liste ...

  6. 22. Mai 2024 · Bradford, VT - William "Bill" Carl Thurston of Bradford Vermont passed away on May 7, 2024. He was born October 19, 1950, to Stanley Ray "Benny" Thurston and Rose Marie Emerson Thurston Capen...

  7. 10. Mai 2024 · Abstract. Estimating parameters for multiple datasets can be time consuming, especially when the number of datasets is large. One solution is to sample from multiple datasets simultaneously using Bayesian methods such as adaptive multiple importance sampling (AMIS).