Results 51 to 60 of about 2,664 (177)

Nonmonotone systems decomposable into monotone systems with negative feedback

Journal of Differential Equations, 2006
The paper develops the ideas of monotone systems and control monotone systems: these systems arise from generalizing models with nonnegative coordinates. There are considered systems on partially ordered spaces. These are spaces with a cone. Within this framework the feedback system \[ \dot{x}=f(x,h(x)) \] is embedded in the larger symmetric system \[ \
Enciso, G.A., Smith, H.L., Sontag, E.D.
openaire   +1 more source

Theory‐Driven IRT Modeling of Vocabulary Development: Matthew Effects and the Case for Unipolar IRT

Journal of Educational Measurement, Volume 62, Issue 2, Page 199-224, Summer 2025.
Abstract Item response theory (IRT) encompasses a broader class of measurement models than is commonly appreciated by practitioners in educational measurement. For measures of vocabulary and its development, we show how psychological theory might in certain instances support unipolar IRT modeling as a superior alternative to the more traditional ...
Qi (Helen) Huang, Daniel M. Bolt, Xiangyi Liao   +2 more
wiley   +1 more source

Distributed Evaluation of Nonmonotonic Multi-context Systems

Journal of Artificial Intelligence Research, 2015
Multi-context Systems (MCSs) are a formalism for systems consisting of knowledge bases (possibly heterogeneous and non-monotonic) that are interlinked via bridge rules, where the global system semantics emerges from the local semantics of the knowledge bases (also called “contexts”) in an equilibrium.
Minh Dao-Tran, Thomas Eiter, Michael Fink, Thomas Krennwallner   +3 more
openaire   +2 more sources

Solving an Augmented Nonnegative Matrix Factorization Model by Modified Scaled Nonmonotone Memoryless BFGS Methods Devised Based on the Ellipsoid Vector Norm

Mathematical Methods in the Applied Sciences, Volume 48, Issue 8, Page 9088-9097, 30 May 2025.
ABSTRACT We suggest a modified version of the nonnegative matrix factorization problem, adding penalty terms to the model with the aim of taking control of the condition number of the decomposition elements. This measure is taken to reinforce computational stability in the solution path of the relevant optimization model.
Fatemeh Dargahi, Saman Babaie‐Kafaki, Zohre Aminifard, Mohammad Hajian Berenjestanaki   +3 more
wiley   +1 more source

Sequential Convex Programming Methods for A Class of Structured Nonlinear Programming [PDF]

, 2016
In this paper we study a broad class of structured nonlinear programming (SNLP) problems. In particular, we first establish the first-order optimality conditions for them.
Lu, Zhaosong
core  

TODO: A Triple‐Outcome Double‐Criterion Optimal Design for Dose Monitoring‐and‐Optimization in Multi‐Dose Randomized Trials

Statistics in Medicine, Volume 44, Issue 10-12, May 2025.
ABSTRACT Detecting the efficacy signal and determining the optimal dose are critical steps to increase the probability of success and expedite the drug development in cancer treatment. After identifying a safe dose range through phase I studies, conducting a multidose randomized trial becomes an effective approach to achieve this objective.
Jingyi Zhang, Heng Zhou, Nolan A. Wages, Zifang Guo, Fang Liu, Thomas Jemielita, Fangrong Yan, Ruitao Lin   +7 more
wiley   +1 more source

An optimal subgradient algorithm for large-scale convex optimization in simple domains [PDF]

, 2015
This paper shows that the optimal subgradient algorithm, OSGA, proposed in \cite{NeuO} can be used for solving structured large-scale convex constrained optimization problems.
Ahookhosh, Masoud, Neumaier, Arnold
core   +1 more source

Multipoint secant and interpolation methods with nonmonotone line search for solving systems of nonlinear equations

, 2017
Multipoint secant and interpolation methods are effective tools for solving systems of nonlinear equations. They use quasi-Newton updates for approximating the Jacobian matrix.
Burdakov, Oleg, Kamandi, Ahmad
core   +1 more source

A System for Nonmonotonic Rules on the Web

, 2004
Defeasible reasoning is a rule-based approach for efficient reasoning with incomplete and inconsistent information. Such reasoning is, among others, useful for ontology integration, where conflicting information arises naturally; and for the modeling of business rules and policies, where rules with exceptions are often used.
Antoniou, G., Bikakis, A., Wagner, G.R.
openaire   +2 more sources

On fraud and certification of green production

Journal of Economics &Management Strategy, Volume 34, Issue 2, Page 501-524, Summer 2025.
Abstract We present a novel model of fraud and certification in green production. We focus on settings where firms decide between a green or a standard version of a product together with an advertising strategy that can include fraud. In addition, green firms can choose to certify their production to guarantee the truthfulness of their claims.
Carmen Arguedas, Esther Blanco
wiley   +1 more source