I need to perform a large number of direct calculations to obtain the apparent resistivity and the sensitivity matrix (Jacobian). So my idea was to parallelize several processes (multiprocessing ...
A kinematic model is a mathematical representation of a robot’s motion that focuses on the geometric relationships between elements and ignores external forces that affect motion. Kinematic models are ...
Neural networks have become foundational tools in computer vision, NLP, and many other fields, offering capabilities to model and predict complex patterns. The training process is at the center of ...
Automatic differentiation has transformed the development of machine learning models by eliminating complex, application-dependent gradient derivations. This transformation helps to calculate Jacobian ...
ABSTRACT: In this paper, the dynamical behaviors of a modified Leslie-Gower predator-prey model incorporating fear effect and prey refuge are investigated. We delve into the construction of the model ...
Abstract: A lot of Jacobian-based control methods for continuum robots rely on the real-time calculation of the pseudoinverse of time-varying Jacobian matrices, which; however, is not friendly to the ...
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