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Modelling and Optimizing Mathematics Learning in Children
International Journal of Artificial Intelligence in Education, 2013This study introduces a student model and control algorithm, optimizing mathematics learning in children. The adaptive system is integrated into a computer-based training system for enhancing numerical cognition aimed at children with developmental dyscalculia or difficulties in learning mathematics.
Tanja Käser +7 more
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MOPS — Mathematical optimization system
European Journal of Operational Research, 1994Abstract This paper discusses a software system for solving large scale linear and mixed-integer optimization models. The system in its present form is the result of several years of research and development. The first functional version of MOPS was completed 1987 for the IBM 6150 (a predecessor of the RS/6000) under AIX.
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Computers & industrial engineering, 2020
In the past few decades, many different metaheuristic algorithms have been developed for optimization purposes each of which have specific advantages and disadvantages due to multiple applications in different optimization fields.
S. Talatahari, M. Azizi
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In the past few decades, many different metaheuristic algorithms have been developed for optimization purposes each of which have specific advantages and disadvantages due to multiple applications in different optimization fields.
S. Talatahari, M. Azizi
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Optimality conditions in mathematical programming and composite optimization
Mathematical Programming, 1994In a very clear manner and with all important proofs new second-order necessary optimality conditions are derived for the problems \(({\mathcal M})\): \(j(x)\to \inf\), s.t. \(x\in B\cap k^{- 1}(C)\), and \(({\mathcal C})\): \(f(x):= g(h(x))\to \inf\), s.t.
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Input optimization: I. Optimal realizations of mathematical models
Mathematical Programming, 1985Input optimization is a conceptually new level of optimization, at which the mathematical programming model, rather than a usual program, is optimized. This is achieved by optimizing the optimal value function by stable perturbations of the parameters considered as ''input''.
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Socioeconomically equitable public defibrillator placement using mathematical optimization.
Resuscitation, 2021K. B. Benjamin Leung +3 more
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LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models
arXiv.orgWhile Masked Diffusion Models (MDMs), such as LLaDA, present a promising paradigm for language modeling, there has been relatively little effort in aligning these models with human preferences via reinforcement learning.
Fengqi Zhu +10 more
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Mathematical Optimization Techniques
2011The objectives of this chapter are: Explaining some optimization techniques. Explaining the minimum norm theorem and how it could be used as an optimization algorithm, where a set of equations can be obtained. Introducing the fuzzy system as an optimization technique.
Soliman Abdel-Hady Soliman +1 more
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Mathematical models application in optimization of hydrothermal liquefaction of biomass
Fuel Processing Technology, 2023Botian Hao +2 more
exaly
The Whale Optimization Algorithm
Advances in Engineering Software, 2016S. Mirjalili, A. Lewis
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