Results 71 to 80 of about 111,305 (313)

Goal seeking Quadratic Unconstrained Binary Optimization

open access: yesResults in Control and Optimization, 2022
The Quadratic Unconstrained Binary Optimization (QUBO) modeling and solution framework is a requirement for quantum and digital annealers. However optimality for QUBO problems of any practical size is extremely difficult to achieve.
Amit Verma, Mark Lewis
doaj  

Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Modern longitudinal data from wearable devices consist of biological signals at high‐frequency time points. Distributed statistical methods have emerged as a powerful tool to overcome the computational burden of estimation and inference with large data, but methodology for distributed functional regression remains limited.
Cole Manschot, Emily C. Hector
wiley   +1 more source

On the Relationship Between Financial Distress and ESG Scores

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This empirical study analyzes the relationship between a company's financial distress obtained from a bankruptcy prediction model and ESG scores from Refinitiv, MSCI, ESG Book, and Moody's ESG. Applying a nonparametric regression technique on panel data of listed US companies for 2003–2022 reveals a pronounced and statistically significant U ...
Christian Lohmann   +2 more
wiley   +1 more source

Hessian sufficiency for bordered Hessian [PDF]

open access: yes, 2005
We show that the second–order condition for strict local extrema in both constrained and unconstrained optimization problems can be expressed solely in terms of principal minors of the (Lagrengean) [sic] Hessian.
Im, Eric Iksoon
core  

Initial Population Sampling Influence on Multi‐Objective Optimization Based on Differential Evolution and Bayesian Inference

open access: yesInternational Journal of Circuit Theory and Applications, EarlyView.
This study focused on reducing the simulation counts required for circuit sizing by optimizing the initial population selection in evolutionary algorithms. We investigated the impact of different sampling methods on the efficiency of multi‐objective optimization based on differential evolution and Bayesian inference, a leading algorithm in circuit ...
Georgian Nicolae   +5 more
wiley   +1 more source

A Novel Conjugate Gradient Algorithm as a Convex Combination of Classical Conjugate Gradient Methods

open access: yesKurdistan Journal of Applied Research
Conjugate gradient (CG) algorithms are constructive for handling large-scale nonlinear optimization problems. One optimization technique intended to address unconstrained optimization issues effectively is the hybrid conjugate gradient (HCG) algorithm ...
Sara Sahib Mohammed Zaki   +2 more
doaj   +1 more source

A new algorithm for general multiobjective optimization [PDF]

open access: yes
Described is a new technique for converting a constrained optimization problem to an unconstrained one, and a new method for multiobjective optimization based on that technique. The technique transforms the objective functions into goal constraints.
Dovi, Augustine R.   +2 more
core   +1 more source

Tri‐axial compressive behavior of high‐water material for deep underground spaces

open access: yesDeep Underground Science and Engineering, EarlyView.
The relationship between the mechanical behavior and microstructures of the laterally confined high‐water material associated with water bleeding was established. Abstract Attributed to its superior water‐to‐solid ratio and quick setting time, the high‐water material is widely adopted in underground spaces as a cost‐effective and environmentally ...
Honglin Liu   +5 more
wiley   +1 more source

A New Augmented Lagrangian Method for Equality Constrained Optimization with Simple Unconstrained Subproblem

open access: yesDiscrete Dynamics in Nature and Society, 2017
We propose a new method for equality constrained optimization based on augmented Lagrangian method. We construct an unconstrained subproblem by adding an adaptive quadratic term to the quadratic model of augmented Lagrangian function.
Hao Zhang, Qin Ni
doaj   +1 more source

Optimal zoning in the unconstrained Hotelling game

open access: yesPapers in Regional Science, 2016
This paper studies a zoning mechanism that gives the optimal locations of two firms in a linear city under mill prices. A regulator biased towards consumers allows a central area of the city to be shared by firms and consumers and thus firms are not allowed to locate outside the city limits.
Rodríguez Iglesias, Isabel   +3 more
openaire   +3 more sources

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