LOS ANGELES — Victor Wembanyama is doing something wrong. The 7-foot-4 unicorn, still in the early stages of rewriting how basketball is played, just made a move few in the world can. But it’s the ...
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
Apple Intelligence is Apple’s generative artificial intelligence (AI) system, and it comes with a huge range of features and abilities. You’ll find it deeply embedded in your iPhone, whether that’s ...
This study introduced an efficient method for solving non-linear equations. Our approach enhances the traditional spectral conjugate gradient parameter, resulting in significant improvements in the ...
Introduction: Coal reservoir fractures serve as critical storage spaces and migration pathways for coalbed methane (CBM), significantly influencing CBM enrichment. The characteristics of coal ...
Abstract: We present a distributed conjugate gradient method for distributed optimization problems, where each agent computes an optimal solution of the problem locally without any central computation ...
This application note examines the USP acetaminophen impurities using an HPLC system and UPLC System. Improvements in sample throughput and solvent usage were realized by using newer technology. Join ...
Abstract: This paper aims to identify the current state of the art of the latest research related to Conjugate Gradient (CG) methods for unconstrained optimization through a systematic literature ...
The nonlinear conjugate gradient method is a very useful technique for solving large scale minimization problems and has wide applications in many fields. In this paper, we present a new algorithm of ...
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