Previously, financial firms relied on intuition that had been honed over years of exposure to the market. Today, many have ...
Many problems connected with processing of redundant measurement data have a nonlinear character. To solve these problems with in the stochastic approach, the developers apply different suboptimal ...
MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.
Scientists in Spain have implemented recursive least squares (RLS) algorithms for anomaly detection in PV systems and have found they can provide “more realistic and meaningful assessment” than ...
Trees (and chains) of kinematic equations are used in robotics, computer graphics, and animation. In robotics forward kinematics refers to the use of kinematic equations to compute the position of an ...
Dynamic programming is a method frequently applied to optimization problems, problems where we are looking for the best solution to a problem. A famous example of an optimization problem is the ...
Abstract: The paper presents new results in the hardware implementation and optimization of recursive sequential and parallel algorithms using the known and a new model of a hierarchical finite state ...
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