Results 41 to 50 of about 9,234 (266)

From Inequality to Extremes and Back: A Lorenz Representation of the Pickands Dependence Function

Mathematics
We establish a correspondence between Lorenz curves and Pickands dependence functions, thereby reframing the construction of any bivariate extreme-value copula as an inequality problem.
Pasquale Cirillo, Andrea Fontanari
doaj   +1 more source

Delocalized Charge Transport in Thermoelectric Composites of Semiconducting Carbon Nanotubes Wrapped with a P‐Type Polymer

Advanced Electronic Materials, EarlyView.
Composites made of semiconducting carbon nanotubes and p‐type polymers, when adequately doped with molecular dopants, can exhibit highly delocalized charge carrier transport, showing high thermoelectric performances. The efficient charge delocalization is enabled by the reduced coulombic binding energy at high carrier concentration and the small ...
Ye Liu, Wenchao Yang, Anirudh Sharma, Diego Rosas‐Villalva, Han Xu, Md Azimul Haque, Frédéric Laquai, Derya Baran   +7 more
wiley   +1 more source

Optimization of Gini Coefficient Affected by Imperfect Input Data

European Journal of Business Science and Technology, 2019
Most indicators used for determining the distributional effects of taxes as well as the inequality in the income distribution are based on the Gini coefficient and the Lorenz curve to a substantial extent, although the potential application of the Gini ...
Petr David
doaj   +1 more source

Neural Information Processing and Time‐Series Prediction with Only Two Dynamical Memristors

Advanced Electronic Materials, EarlyView.
The present study demonstrates how simple circuits with only two memristive devices are utilized to perform high complexity temporal information processing tasks, like neural spike detection in noisy environment, or time‐series prediction. This circuit simplicity is enabled by the dynamical complexity of the memristive devices, i.e.
Dániel Molnár, Tímea Nóra Török, János Volk, Roland Kövecs, László Pósa, Péter Balázs, György Molnár, Nadia Jimenez Olalla, Zoltán Balogh, János Volk, Juerg Leuthold, Miklós Csontos, András Halbritter   +12 more
wiley   +1 more source

Assessing Economic Inequality Through the Lorenz Curve in Central and Eastern European Countries [PDF]

Ovidius University Annals: Economic Sciences Series
This study analyses economic inequality in Central and Eastern Europe (CEE) using tools such as the Lorenz Curve and the Gini coefficient. Originating in 1905, the Lorenz Curve, conceptualized by Max O.
Maria Simona Ene
doaj  

Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization

AIChE Journal, EarlyView.
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed, Tao Chen, Antonio del Rio Chanona, Lorenz T. Biegler, Michael Short   +4 more
wiley   +1 more source

Brazil’s Daily Precipitation Concentration Index (CI) Using Alternative Fitting Equation and Ensemble Data

Hydrology
In recent years, precipitation concentration indices have become popular, and the daily precipitation concentration index has been widely used worldwide. This index is based on the Lorenz curve fitting.
Gerardo Núñez-González
doaj   +1 more source

A trust‐region funnel algorithm for gray‐box optimization

AIChE Journal, EarlyView.
Abstract Gray‐box optimization, where parts of optimization problems are represented by algebraic models while others are treated as black‐box models lacking analytic derivatives, remains a challenge. Trust‐region (TR) methods provide a robust framework for gray‐box problems through local reduced models (RMs) for black‐box components, but they are ...
Gul Hameed, Tao Chen, Antonio del Rio Chanona, Lorenz T. Biegler, Michael Short   +4 more
wiley   +1 more source

Scalable Platform Enabling Reservoir Computing With Nanoporous Oxide Memristors for Image Recognition and Time Series Prediction

Advanced Intelligent Systems, EarlyView.
The approach of physical in materia computing incorporates parallel computing within the medium itself. A scalable and energy‐efficient, oxide‐based computational platform is realized in form of a nanoporous network of volatile niobium oxide memristors sandwiched between top and bottom metallic electrodes, and then tested for prediction and ...
Joshua Donald, Ben A. Johnson, Amir Mehrnejat, Alex Gabbitas, Arthur G. T. Coveney, Alexander G. Balanov, Sergey Savel’ev, Pavel Borisov   +7 more
wiley   +1 more source

Device‐Level Implementation of Reservoir Computing With Memristors

Advanced Intelligent Systems, EarlyView.
Reservoir computing (RC) is an emerging computing scheme that employs a reservoir and a single readout layer, which can be actualized in the nanoscale with memristors. As a comprehensive overview, the principles of RC and the switching mechanisms of memristors are discussed, followed by actual demonstrations of memristor‐based RC and the remaining ...
Sunbeom Park, Hyojung Kim, Ho Won Jang
wiley   +1 more source