5 résultat(s)
Télécharger le livre : Optimization, Discrete Mathematics and Applications to Data Sciences
Ashkan Nikeghbali , Panos M. Pardalos , Michael Th. Rassias
Optimization, Discrete Mathematics and Applications to Data Sciences
This book delves into the dynamic intersection of optimization and discrete mathematics, offering a comprehensive exploration of their applications in data sciences. Through a collection of high-quality papers, readers will gain insights into cutting-edge research and...
Editeur : Springer
Parution : 2025-01-08
Collection : Springer Optimization and Its Applications
Format(s) : PDF, ePub
126,59 €
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Télécharger le livre : High-Dimensional Optimization and Probability
Ashkan Nikeghbali , Panos M. Pardalos , Andrei M. Raigorodskii , Michael Th. Rassias
High-Dimensional Optimization and Probability
This volume presents extensive research devoted to a broad spectrum of mathematics with emphasis on interdisciplinary aspects of Optimization and Probability. Chapters also emphasize applications to Data Science, a timely field with a high impact in our modern society....
Editeur : Springer
Parution : 2022-08-04
Collection : Springer Optimization and Its Applications
Format(s) : PDF, ePub
89,66 €
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Télécharger le livre : Frontiers in Analysis and Probability
Nalini Anantharaman , Ashkan Nikeghbali , Michael Th. Rassias
Frontiers in Analysis and Probability
The volume presents extensive research devoted to a broad spectrum of mathematical analysis and probability theory.  Subjects discussed in this Work are those treated in the so-called Strasbourg–Zürich Meetings. These meetings occur twice yearly in each of the...
Editeur : Springer
Parution : 2020-11-21

Format(s) : PDF, ePub
52,74 €
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Télécharger le livre : Exploring the Riemann Zeta Function
Hugh Montgomery , Ashkan Nikeghbali , Michael Th. Rassias
Exploring the Riemann Zeta Function
Exploring the Riemann Zeta Function: 190 years from Riemann's Birth presents a collection of chapters contributed by eminent experts devoted to the Riemann Zeta Function, its generalizations, and their various applications to several scientific disciplines,...
Editeur : Springer
Parution : 2017-09-11

Format(s) : PDF, ePub
168,79 €
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Télécharger le livre : Mod-? Convergence
Valentin Féray , Pierre-Loïc Méliot , Ashkan Nikeghbali
Mod-? Convergence
The canonical way to establish the central limit theorem for i.i.d. random variables is to use characteristic functions and Lévy’s continuity theorem. This monograph focuses on this characteristic function approach and presents a renormalization theory called mod-?...
Editeur : Springer
Parution : 2016-12-06
Collection : SpringerBriefs in Probability and Mathematical Statistics
Format(s) : PDF, ePub
52,74 €
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