Environmental planning faces critical challenges, including inconsistent data quality, a shortage of technical expertise, and inadequate data sharing ...
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Abstract: This article presents a prediction-correction proximal method (PCPM) for the general nonsmooth convex optimization problem with linear equality and inequality constraints. The proposed ...
Abstract: Many classical and modern machine learning algorithms require solving optimization tasks under orthogonality constraints. Solving these tasks with feasible methods requires a gradient ...
cuADMM solves multi-block SDP problems of the form: $$\min_X \left\langle C,X\right\rangle \quad\text{s.t.}\quad \begin{cases} \left\langle A_i,X\right\rangle = b_i ...
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