Results 61 to 70 of about 619,780 (278)

ADMM for multiaffine constrained optimization [PDF]

open access: yesOptimization Methods and Software, 2019
We expand the scope of the alternating direction method of multipliers (ADMM). Specifically, we show that ADMM, when employed to solve problems with multiaffine constraints that satisfy certain verifiable assumptions, converges to the set of constrained stationary points if the penalty parameter in the augmented Lagrangian is sufficiently large.
Wenbo Gao   +2 more
openaire   +2 more sources

Epigenetic blind spots – the role of DNA methylation dynamics in stem cell‐based models of embryogenesis

open access: yesFEBS Letters, EarlyView.
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil   +4 more
wiley   +1 more source

Active Exploration by Chance-Constrained Optimization for Voltage Regulation with Reinforcement Learning

open access: yesEnergies, 2022
Voltage regulation in distribution networks encounters a challenge of handling uncertainties caused by the high penetration of photovoltaics (PV). This research proposes an active exploration (AE) method based on reinforcement learning (RL) to respond to
Zhenhuan Ding, Xiaoge Huang, Zhao Liu
doaj   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

Constrained Optimization

open access: yesConstrained optimization
identifier:oai:t2r2.star.titech.ac.jp ...
Changhe Li   +3 more
  +5 more sources

Guided Hybrid Modified Simulated Annealing Algorithm for Solving Constrained Global Optimization Problems

open access: yesMathematics, 2022
In this paper, a hybrid gradient simulated annealing algorithm is guided to solve the constrained optimization problem. In trying to solve constrained optimization problems using deterministic, stochastic optimization methods or hybridization between ...
Khalid Abdulaziz Alnowibet   +4 more
doaj   +1 more source

Cell‐cycle‐specific lesion evolution rather than inhibition of double‐strand‐break repair underpins cisplatin radiosensitization

open access: yesMolecular Oncology, EarlyView.
We analyze cisplatin–DNA adducts (CDAs) and double‐strand breaks (DSBs) in a cell‐cycle‐dependent manner. We find that CDAs form similarly across all cell cycle phases. DSBs arise only in S‐phase. CDAs might not directly impair DSB repair, but S‐phase DSB lesions evolve in the presence of CDAs and disrupt repair in G2, also causing radiosensitization ...
Ye Qiu   +10 more
wiley   +1 more source

Frameworks and Results in Distributionally Robust Optimization

open access: yesOpen Journal of Mathematical Optimization, 2022
The concepts of risk aversion, chance-constrained optimization, and robust optimization have developed significantly over the last decade. The statistical learning community has also witnessed a rapid theoretical and applied growth by relying on these ...
Rahimian, Hamed, Mehrotra, Sanjay
doaj   +1 more source

Molecular cancer prevention: Intercepting disease

open access: yesMolecular Oncology, EarlyView.
Oncological practice must evolve, from treating established tumours to proactive cancer interception before clinical manifestation. This will require mechanistic insight into tumour initiation, validated biomarkers of early disease development and redesigned clinical trials, enabling cancer interception to become a core pillar of oncology with the ...
Charlotte Grieco   +2 more
wiley   +1 more source

Improved Cuckoo Search (ICS) algorthm for constrained optimization problems

open access: yesLatin American Journal of Solids and Structures
Constrained optimization is very important issue in engineering design. The problem of constrained optimization contains the objective function with linear and nonlinear constraint equations.
Radovan R. Bulatović   +3 more
doaj   +1 more source

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