Results 41 to 50 of about 610,742 (235)

A penalty method for PDE-constrained optimization in inverse problems

open access: yes, 2015
Many inverse and parameter estimation problems can be written as PDE-constrained optimization problems. The goal, then, is to infer the parameters, typically coefficients of the PDE, from partial measurements of the solutions of the PDE for several right-
Herrmann, Felix J., van Leeuwen, Tristan
core   +1 more source

Perspectives in educating molecular pathologists on liquid biopsy: Toward integrative, equitable, and decentralized precision oncology

open access: yesMolecular Oncology, EarlyView.
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié   +13 more
wiley   +1 more source

CIOA: Circle-Inspired Optimization Algorithm, an algorithm for engineering optimization

open access: yesSoftwareX, 2022
This paper presents a new, robust and very efficient metaheuristic optimization algorithm, called Circle Inspired Optimization Algorithm (CIOA), for solving constrained and unconstrained engineering optimization problems. The inspiration for the proposed
Otávio Augusto Peter de Souza   +1 more
doaj   +1 more source

Exploiting symmetries in SDP-relaxations for polynomial optimization

open access: yes, 2012
In this paper we study various approaches for exploiting symmetries in polynomial optimization problems within the framework of semi definite programming relaxations.
Barvinok AI   +12 more
core   +3 more sources

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 Bayesian Optimization: A Review

open access: yesIEEE Access
Bayesian optimization is a sequential optimization method that is particularly well suited for problems with limited computational budgets involving expensive and non-convex black-box functions.
Sasan Amini   +2 more
doaj   +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

Computer program for parameter optimization [PDF]

open access: yes, 1968
Flexible, large scale digital computer program was designed for the solution of a wide range of multivariable parameter optimization problems.
Glatt, C. R., Hague, D. S.
core   +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

Constrained Optimization of MIMO Training Sequences

open access: yesEURASIP Journal on Advances in Signal Processing, 2007
Multiple-input multiple-output (MIMO) systems have shown a huge potential for increased spectral efficiency and throughput. With an increasing number of transmitting antennas comes the burden of providing training for channel estimation for coherent ...
Coon Justin P, Sandell Magnus
doaj   +2 more sources

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