Results 171 to 180 of about 619,204 (327)

New duality results for evenly convex optimization problems. [PDF]

Optimization, 2021
Fajardo MD, Grad SM, Vidal J.
europepmc   +1 more source

Approximate optimality conditions and sensitivity analysis in nearly convex optimization [PDF]

arXiv
In this paper, approximate optimality conditions and sensitivity analysis in nearly convex optimization are discussed. More precisely, as in the spirit of convex analysis, we introduce the concept of $\varepsilon$-subdifferential for nearly convex functions.
arxiv  

Post‐Translational Modifications in Cilia and Ciliopathies

Advanced Science, EarlyView.
This review synthesizes current understanding of post‐translational modifications (PTMs) in ciliary proteins and emphasizes their roles in ciliary formation, homeostasis, and signaling. This review also discusses the implication of PTM dysregulation in ciliopathies and explores therapeutic strategies targeting PTM‐modifying enzymes.
Jie Ran, Jun Zhou
wiley   +1 more source

Convex optimization and lagrange multipliers

, 1978
Charles Blair
openalex   +2 more sources

A Class of Globally Convergent Optimization Methods Based on Conservative Convex Separable Approximations [PDF]

, 2002
Krister Svanberg
openalex   +1 more source

Nanoparticle Delivery of Antisense miR162 Inhibits Invasive Habitat Adaption of Alternanthera Philoxeroides

Advanced Science, EarlyView.
This study demonstrates that the miRNA pathway plays a key role in the invasive growth of Alternanthera philoxeroides in aquatic habitats. Specifically, miR162 is critical for its invasive success, facilitating stem elongation and enhancing survival during submergence.
Qianqian Hu, Erfeng Kou, Xiuzhen Liao, Ruiyi Qiu, Qi Tang, Huan Zhang, Yun Zheng, Ji Yang, Binglian Zheng   +8 more
wiley   +1 more source

Implementable tensor methods in unconstrained convex optimization. [PDF]

Math Program, 2021
Nesterov Y.
europepmc   +1 more source

Optimization of Globally Convex Functions

, 1989
T. C. Hu, Victor Klee, David Larman
openalex   +2 more sources

Synergistic Machine Learning Guided Discovery of ABa3(BSe3)2X (A = Rb, Cs; X = Cl, Br, I): A Promising Family as Property‐Balanced IR Functional Materials

Advanced Science, EarlyView.
A synergistic framework for interpretable ML‐assisted target discovery of selenoborates is developed. ABa3(BSe3)2X (A = Rb, Cs; X = Cl, Br, I) are successfully predicted and synthesized, exhibiting significant potential to be promising IR functional materials. This work promotes the cooperation of ML technology and materials science.
Yihan Yun, Mengfan Wu, Zhihua Yang, Guangmao Li, Shilie Pan   +4 more
wiley   +1 more source

Reconstruction of Relative Phase of Self-Transmitting Devices by Using Multiprobe Solutions and Non-Convex Optimization. [PDF]

Sensors (Basel), 2021
Tena Sánchez R, Rodríguez Varela F, Foged LJ, Sierra Castañer M.   +3 more
europepmc   +1 more source