Results 71 to 80 of about 1,449,938 (284)

Augmented Lagrangian Functions for Cone Constrained Optimization: the Existence of Global Saddle Points and Exact Penalty Property

open access: yes, 2018
In the article we present a general theory of augmented Lagrangian functions for cone constrained optimization problems that allows one to study almost all known augmented Lagrangians for cone constrained programs within a unified framework. We develop a
Dolgopolik, M. V.
core   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

open access: yesFEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe   +3 more
wiley   +1 more source

Thermodynamics of Global Optimization

open access: yesPhysical Review Letters, 1998
Theoretical design of global optimization algorithms can profitably utilize recent statistical mechanical treatments of potential energy surfaces (PES's). Here we analyze a particular method to explain its success in locating global minima on surfaces with a multiple-funnel structure, where trapping in local minima with different morphologies is ...
Doye, J, Wales, D
openaire   +1 more source

The role of histone modifications in transcription regulation upon DNA damage

open access: yesFEBS Letters, EarlyView.
This review discusses the critical role of histone modifications in regulating gene expression during the DNA damage response (DDR). By modulating chromatin structure and recruiting repair factors, these post‐translational modifications fine‐tune transcriptional programmes to maintain genomic stability.
Angelina Job Kolady, Siyao Wang
wiley   +1 more source

Fast Task Scheduling With Model Predictive Control Integrating a Priority-Based Heuristic

open access: yesIEEE Access
This paper presents a scalable Model Predictive Control (MPC) algorithm for task scheduling and real time re-scheduling. The use case motivating the work is given by the problem of managing the integration activities involved in the final assembly of the
Francesco Liberati   +3 more
doaj   +1 more source

Time after time – circadian clocks through the lens of oscillator theory

open access: yesFEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo   +2 more
wiley   +1 more source

DIFFERENTIAL EVOLUTION WITH COMPETITIVE SETTING OF CONTROL PARAMETERS

open access: yesTASK Quarterly, 2007
This paper is focused on the adaptation of control parameters in differential evolution. Competition of various control parameter settings was proposed in order to ensure self-adaptation of parameter values in the search process.
JOSEF TVRD´IK
doaj  

Simulator-based training of generative neural networks for the inverse design of metasurfaces

open access: yesNanophotonics, 2019
Metasurfaces are subwavelength-structured artificial media that can shape and localize electromagnetic waves in unique ways. The inverse design of these devices is a non-convex optimization problem in a high dimensional space, making global optimization ...
Jiang Jiaqi, Fan Jonathan A.
doaj   +1 more source

Global Optimization Using Space Filling Curves

open access: yesAdvances in Electrical and Electronic Engineering, 2017
The existence of space filling curves opens the way to reducing multivariate optimization problems to the minimization of univariate functions. In this paper, we analyze the Hoelder continuity of space filling curves and exploit this property in the ...
Michaela Bailova   +2 more
doaj   +1 more source

GLOBAL OPTIMIZATION METHODS [PDF]

open access: yes
Training a neural network is a difficult optimization problem because of numerous local minimums. Many global search algorithms have been used to train neural networks. However, local search algorithms are more efficient with computational resources, and
Brorsen, B. Wade, Hamm, Lonnie
core   +1 more source

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