Results 21 to 30 of about 14,146 (120)

Complete solution of a constrained tropical optimization problem with application to location analysis

open access: yes, 2014
We present a multidimensional optimization problem that is formulated and solved in the tropical mathematics setting. The problem consists of minimizing a nonlinear objective function defined on vectors over an idempotent semifield by means of a ...
A. Tharwat   +22 more
core   +1 more source

SMAA‐Based FITradeoff: An Efficient Framework for Pairwise Elicitation in Multicriteria Decision Analysis

open access: yesJournal of Multi-Criteria Decision Analysis, Volume 33, Issue 2, August 2026.
ABSTRACT The Flexible and Interactive Tradeoff Elicitation (FITradeoff) method is a Multi‐Attribute Decision‐Making (MADM) approach designed to capture the preferences of a Decision Maker (DM) while minimising cognitive effort. To reduce the frequency of interactions and optimise the preference elicitation process, this paper introduces an innovative ...
Qian Zhao   +3 more
wiley   +1 more source

Worst-case estimation and asymptotic theory for models with unobservables [PDF]

open access: yes, 2004
This paper proposes a worst-case approach for estimating econometric models containing unobservable variables. Worst-case estimators are robust against the adverse effects of unobservables.
Esteban-Bravo, Mercedes   +1 more
core   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

open access: yesJournal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen   +4 more
wiley   +1 more source

Generative Models for Crystalline Materials

open access: yesAdvanced Materials, Volume 38, Issue 18, 25 March 2026.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni   +15 more
wiley   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

open access: yesAdvanced Science, Volume 13, Issue 14, 9 March 2026.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu   +7 more
wiley   +1 more source

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

Recanting Twins: Addressing Intermediate Confounding in Mediation Analysis

open access: yesStatistics in Medicine, Volume 45, Issue 3-5, February 2026.
ABSTRACT The presence of intermediate confounders, also called recanting witnesses, is a fundamental challenge to the investigation of causal mechanisms in mediation analysis, preventing the identification of natural path‐specific effects. Common alternatives (such as randomizational interventional effects) are problematic because they can take non ...
Tat‐Thang Vo   +4 more
wiley   +1 more source

A constrained tropical optimization problem: complete solution and application example

open access: yes, 2013
The paper focuses on a multidimensional optimization problem, which is formulated in terms of tropical mathematics and consists in minimizing a nonlinear objective function subject to linear inequality constraints.
Krivulin, Nikolai
core   +1 more source

Digital Twin‐Driven Two‐Stage Bi‐Level Collaborative Operation Strategy for Multi‐Microgrids Considering Energy Sharing and Price Incentives

open access: yesDigital Twins and Applications, Volume 3, Issue 1, January/December 2026.
ABSTRACT To enhance the techno‐economic performance and robustness of multi‐microgrids (MMG) systems, this paper proposes a two‐stage bi‐level collaborative optimisation strategy integrating energy sharing and price incentives. In the day‐ahead stage, the shared energy storage operator (SESO) at the upper level employs conditional Wasserstein ...
Xianghu Cui   +4 more
wiley   +1 more source

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