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Titlebook: Symposia on Theoretical Physics and Mathematics 8; Lectures presented a Alladi Ramakrishnan (Director of the Institute) Book 1968 Plenum Pr

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書目名稱Symposia on Theoretical Physics and Mathematics 8
副標(biāo)題Lectures presented a
編輯Alladi Ramakrishnan (Director of the Institute)
視頻videohttp://file.papertrans.cn/885/884023/884023.mp4
圖書封面Titlebook: Symposia on Theoretical Physics and Mathematics 8; Lectures presented a Alladi Ramakrishnan (Director of the Institute) Book 1968 Plenum Pr
描述This volume comprises the lectures given at the Fifth Anniversary Symposium held at the Institute of Mathematical Sciences, Madras, India, during January 1967. Professor Dallaporta of Padua delivered the inaugural address on the fundamental problem of quasars "whose study appears to hold im- plications for cosmology." He presented a critical review of several attempts to understand their exceptionally large red shifts and also discussed the physical theories concerning the cause of the explosions which give rise to the quasars and to the tremendous energy output they require - questions which still remain unanswered. He stated, in concluding, that we may have to invoke certain aspects of the present theories of elementary particles in order to unravel these mysteries. Professor Mercier, well known for his studies on the philosophical foundations of modern physics, critically examined the various at- tempts, such as that of Einstein, to formulate a unified field theory.
出版日期Book 1968
關(guān)鍵詞cosmology; field theory; theoretical physics
版次1
doihttps://doi.org/10.1007/978-1-4684-7721-4
isbn_softcover978-1-4684-7723-8
isbn_ebook978-1-4684-7721-4
copyrightPlenum Press 1968
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Alladi Ramakrishnan,I. V. V. Raghavacharayululization, theology is often absent. The reasons are well known and are cultural and ideological. The decision to invite to this table even theology is then welcome if it involves enrichment of perspectives for all citizens, believers and non-believers. The basic idea that guides the direction of the
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Charles J. Joachain mixture model (GMM) is a probabilistic model that represents the presence of subpopulations, which works well with a parameter estimation strategy. In this chapter, maximum likelihood estimation based on expectation maximization is used for the parameter estimation approach; the estimated parameter
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