Results 51 to 60 of about 184,637 (335)
Photonic Engineering Enables All‐Passive Upconversion Imaging with Low‐Intensity Near‐Infrared Light
Advanced Functional Materials, EarlyView.A passive upconversion imaging system enables the observation of scenes illuminated by low‐intensity incoherent near‐infrared light from 750 to 930 nm, by converting it into the visible without the use of external power. The upconverter is enabled by triplet–triplet annihilation in a bulk heterojunction, with absorption enhanced by plasmonic resonators
Rabeeya Hamid +13 more
wiley +1 more source
Some aspects of non-linear optimization [PDF]
, 2014 We provide a concise introduction to some methods for solving nonlinear optimization problems. This dissertation includes a literature study of the formal theory necessary for understanding optimization and an investigation of the algorithms available ...
Patel, S
core
Exact computation of GMM estimators for instrumental variable quantile regression models
, 2017 We show that the generalized method of moments (GMM) estimation problem in instrumental variable quantile regression (IVQR) models can be equivalently formulated as a mixed integer quadratic programming problem.
Chen, Le-Yu, Lee, Sokbae
core +1 more source
Study on Fuzzy Quadratic Programming Problems
DEStech Transactions on Computer Science and Engineering, 2019 Under the condition of D-differentiable, fuzzy quadratic programming, whose objective functions are fuzzy quadratic and constraint conditions are fuzzy linear, are studied. First, we prove that fuzzy quadratic programming are a special case of convex fuzzy programming, whose objective mappings and constraint conditions are both D-differentiable; Then ...
Eer-dun BAI, Yu-e BAO
openaire +2 more sources
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
A New Global Optimization Algorithm for Mixed-Integer Quadratically Constrained Quadratic Fractional Programming Problem [PDF]
, 2023 Bo Zhang +3 more
openalex +1 more source
Block Copolymers: Emerging Building Blocks for Additive Manufacturing
Advanced Functional Materials, EarlyView.This review addresses how block copolymer (BCP) physics and rheology have led to the widespread use of BCPs in advanced additive manufacturing techniques, with particular emphasis on the untapped potential of these nanostructured materials toward achieving multi‐scale architected materials with unique, programmable material properties.
Alice S. Fergerson +3 more
wiley +1 more source
Open Mathematics, 2018 In this paper, we present an effective algorithm for globally solving quadratic programs with quadratic constraints, which has wide application in engineering design, engineering optimization, route optimization, etc.
Tang Shuai, Chen Yuzhen, Guo Yunrui
doaj +1 more source
Discrete time McKean-Vlasov control problem: a dynamic programming approach [PDF]
, 2015 We consider the stochastic optimal control problem of nonlinear mean-field systems in discrete time. We reformulate the problem into a deterministic control problem with marginal distribution as controlled state variable, and prove that dynamic ...
Pham, Huyên, Wei, Xiaoli
core +3 more sources
Generating quadratic bilevel programming test problems
ACM Transactions on Mathematical Software, 1994 This paper describes a technique for generating sparse or dense quadratic bilevel programming problems with a selectable number of known global and local solutions. The technique described here does not require the solution of any subproblems. In addition, since most techniques for solving these problems begin by solving the corresponding relaxed ...
Calamai, Paul H., Vicente, Luís N.
openaire +2 more sources