Long-term weather forecasting is a difficult task, partly because weather systems are inherently chaotic. Though mathematical ...
This paper deals with the nonlinear complementarity problem on the product space of unit simplices, S. A simplicial variable dimension algorithm developed by van der Laan and Talman for proper ...
Artificial intelligence models have improved weather forecasting, but their inner workings are largely opaque. A new approach ...
The familiar linear multichannel sea surface temperature algorithms (MCSST) for estimating sea surface temperature with AVHRR satellite data describe the solution in terms of a constant gamma ...
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Scientists build first in-memory sorting chip without comparators
A new computing era arrives with the breakthrough in how computers can sort information. This vital function, at the heart of ...
Conventional techniques may not be sufficient, but a new approach to implementing nonlinear algorithms may accomplish the goal. Roy Batruni, CEO, Optichron Nonlinear signal distortion is widespread ...
Lookup tables and Taylor series are two common methods for interpolating between experimentally gathered data or for generating a known function such as a sine wave. This article proposes a third ...
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