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20 hours ago · The emergence of data-driven techniques influid mechanics offers promising prospects for modelling in the built environment. Future researchshould focus on ...
1 hour ago · We propose a portfolio optimization method with a multi-trend objective and an accelerated quasi-Newton method (MTO-AQNM). It leverages a BFGS-based ...
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13 hours ago · As a data-based method, the capacity of reservoir computing is stongly affected by the time sampling interval of training data. In this paper, taking Lorenz ...
12 hours ago · May 21, 2024 — Researchers have unveiled a novel method to prepare quantum operations on a given quantum computer, using a machine learning generative model to ...
11 hours ago · A standard approach to evaluate propagation of uncertainty of deterministic models is through the use of the Monte Carlo technique. In the Monte Carlo technique ...
7 hours ago · Developments and advances in numerical fluid dynamics are being reviewed with emphasis on physical aspects in preference to methodical questions.
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16 hours ago · Advances in Nonlinear Analysis aims to publish selected research contributions devoted to nonlinear problems coming from different areas, with particular ...
Decomposition Methods for Choice-Based Optimization Models
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24 hours ago · In the field of data-driven optimization under uncertainty, scenario reduction is a commonly used technique for computing a smaller number of scenarios to ...
6 hours ago · This multistep method is defined for variable step and variable order (VSVO) and maintains the good properties of the Ψ-functions series [...] Read more.
2 hours ago · The Wall Street Journal reports that a European initiative studying the feasibility data centers in space "has found that the project could be economically ...
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