Abstract: In this paper, a new computer-time effective iterative method is proposed to enhance the spatial resolution of microwave radiometer data in both Hilbert and Banach spaces. The reconstruction ...
This paper presents a new three-term hybrid conjugate gradient projection method for handling large-scale convex-constrained nonlinear monotone equations that are prevalent in fields such as ...
Alternating Least Squares as described in the papers Collaborative Filtering for Implicit Feedback Datasets and Applications of the Conjugate Gradient Method for Implicit Feedback Collaborative ...
Initial release. Added support for Linear Conjugate Gradient (LCG), Basic Nonlinear Conjugate Gradient (i.e. FR, PRP, HS, CD, DY, LS, HZ, HS-DY) methods and two Line Search methods (i.e. Armijo and ...
This article is about the gradient descent algorithm and the different alternatives that can be used instead of the gradient descent algorithm. Gradient descent is a popular optimisation technique in ...
Physics-Informed Neural Networks (PINN) are neural networks encoding the problem governing equations, such as Partial Differential Equations (PDE), as a part of the neural network. PINNs have emerged ...
Background: Patients with acute type A aortic dissection are usually transferred to the intensive care unit (ICU) after surgery. Prolonged ICU length of stay (ICU-LOS) is associated with higher level ...
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