Results 271 to 280 of about 5,958,127 (312)

Mathematical optimization in enhancing the sustainability of aircraft trajectory: A review

International Journal of Sustainable Transportation, 2020
Rapid advances in technologies that improve the management of aircraft have provided a new opportunity for practitioners to address key social, environmental and economic impacts resulting from aircraft operations.
A. Hammad, D. Rey, A. Bu-Qammaz, Hanna Grzybowska, A. Akbarnezhad   +4 more
semanticscholar   +1 more source

Modelling and Optimizing Mathematics Learning in Children [PDF]

International Journal of Artificial Intelligence in Education, 2013
This 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.
Alberto Giovanni Busetto, Karin Kucian, Juliane Kohn, Markus Gross, Gian-Marco Baschera, Tanja Käser, Barbara Solenthaler, Michael von Aster, Michael von Aster, Michael von Aster   +9 more
openaire   +3 more sources

Mathematical Fundamentals of Optimization

2021
The fundamental principle of model predictive control (MPC) is the solution of an optimization problem in real time. The optimization problem is designed in such a way that it reflects the goals of the control algorithm. For the development of MPC controllers for complex engine tasks, a solid knowledge of optimization is required. This chapter provides
openaire   +2 more sources

Mathematical Optimization Techniques

2011
The 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, Abdel-Aal Hassan Mantawy   +1 more
openaire   +2 more sources

Methods of Mathematical Optimization [PDF]

, 1989
Numerical optimization methods offer a surprisingly advanced design methodology for application to engineering design. The concepts are not particularly difficult, it is only that they are unfamiliar to most practicing engineers. The purpose here is to outline the general methods of numerical optimization and to identify areas where these techniques ...
openaire   +1 more source

Mathematically Optimizing Water Management

Critical Transitions in Water and Environmental Resources Management, 2004
Software for formally optimizing groundwater and conjunctive water management has improved dramatically in recent years. Historically utilized have been a range of classical and heuristic optimization methods, and of simulator and surrogate simulator techniques.
Peralta, Richard C., Kalwij, I. M.
openaire   +2 more sources

Mathematical Modeling and Optimization

2017
This chapter provides a primer on optimization and mathematical modeling. It does not provide a complete description of these topics. Instead, this chapter provides enough background information to support reading the rest of the book. For more discussion of optimization modeling techniques see, for example, Williams [86].
Bethany L. Nicholson, John Daniel Siirola, Jean-Paul Watson, David L. Woodruff, William E. Hart, Gabriel A. Hackebeil, Carl D. Laird   +6 more
openaire   +2 more sources

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

arXiv.org
Mathematical reasoning poses a significant challenge for language models due to its complex and structured nature. In this paper, we introduce DeepSeekMath 7B, which continues pre-training DeepSeek-Coder-Base-v1.5 7B with 120B math-related tokens sourced
Zhihong Shao, Peiyi Wang, Qihao Zhu, R. Xu, Jun-Mei Song, Mingchuan Zhang, Y. K. Li, Yu Wu, Daya Guo   +8 more
semanticscholar   +1 more source

A mathematical framework for optimal foraging of herbivores

Journal of Mathematical Biology, 1995
The aim of this paper is to study a model of optimal foraging of herbivores (with special reference to ungulates) assuming that food distribution is arbitrary. Usually the analysis of foraging of herbivores in the framework of optimal foraging theory is based on the assumption of a patchy food distribution.
S. FOCARDI, MARCELLINI, PAOLO
openaire   +4 more sources

Mathematical optimization of rolling stock rotations

, 2017
We show how to optimize rolling stock rotations that are required for the operation of a passenger timetable. The underlying mathematical ptimization problem is called rolling stock rotation problem (RSRP) and the leitmotiv of the thesis is RotOR, i.e ...
M. Reuther
semanticscholar   +1 more source