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Titlebook: NumericalInfinities and Infinitesimals in Optimization; Yaroslav D. Sergeyev,Renato De Leone Book 2022 The Editor(s) (if applicable) and T

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31#
發(fā)表于 2025-3-26 21:05:36 | 只看該作者
Comparing Linear and Spherical Separation Using Grossone-Based Numerical Infinities in Classificatioction with the use of the grossone-based numerical infinities. While in the binary supervised learning the objective is to separate two sets of samples, a binary MIL problem consists in separating two different type of sets (positive and negative), each of them constituted by a finite number of samp
32#
發(fā)表于 2025-3-27 03:45:26 | 只看該作者
Computing Optimal Decision Strategies Using the Infinity Computer: The Case of Non-Archimedean Zero-ons and engineering, among others. In particular, the Nash equilibria of any two-player finite zero-sum game in mixed-strategies can be found solving a proper linear programming problem. This chapter investigates and solves non-Archimedean zero-sum games, i.e., games satisfying the zero-sum property
33#
發(fā)表于 2025-3-27 07:29:45 | 只看該作者
34#
發(fā)表于 2025-3-27 11:21:39 | 只看該作者
Adopting the Infinity Computing in Simulink for Scientific Computingpoint standard to represent and work with real numbers. Due to the architectural limitations of traditional computers, it is impossible to handle infinite and infinitesimal quantities numerically. This chapter is devoted to the Infinity Computer, a supercomputer that permits to execute numerical com
35#
發(fā)表于 2025-3-27 16:35:24 | 只看該作者
Addressing Ill-Conditioning in Global Optimization Using a Software Implementation of the Infinity Cly homogeneous if it produces the same sequences of evaluation points independently both of multiplication of the objective function by a scaling constant and of adding a shifting constant. It is shown that even if a method possesses this property theoretically, numerically very small and large scal
36#
發(fā)表于 2025-3-27 17:50:17 | 只看該作者
Yaroslav D. Sergeyev,Renato De LeonePresents a new powerful supercomputing paradigm introduced by Yaroslav D. Sergeyev.Gives friendly introduction to the paradigm and proposes a broad panorama of a successful usage of numerical infiniti
37#
發(fā)表于 2025-3-27 22:37:10 | 只看該作者
38#
發(fā)表于 2025-3-28 02:51:14 | 只看該作者
NumericalInfinities and Infinitesimals in Optimization978-3-030-93642-6Series ISSN 2194-7287 Series E-ISSN 2194-7295
39#
發(fā)表于 2025-3-28 10:20:46 | 只看該作者
Nonlinear Optimization: A Brief Overviewto cover all the aspects in nonlinear optimization that will require more than one complete book. We decided, instead, to concentrate our attention on few fundamental topics that are also at the basis of the new results in nonlinear optimization using . introduced in the successive chapters.
40#
發(fā)表于 2025-3-28 11:34:04 | 只看該作者
Modeling Infinite Games on Finite Graphs Using Numerical Infinities infinite games played on finite graphs using the Grossone paradigm. The new Grossone model provides certain advantages such as allowing for draws, which are common in board games, and a more accurate and decisive method for determining the winner.
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