Results 291 to 300 of about 5,689,395 (335)

Optimizing the Efficacy of Vaccine-Induced Immunotherapy in Melanomas. [PDF]

open access: yesBull Math Biol
Chamseddine I   +4 more
europepmc   +1 more source

JuMP 1.0: recent improvements to a modeling language for mathematical optimization

Mathematical Programming Computation, 2022
JuMP is an algebraic modeling language embedded in the Julia programming language. JuMP allows users to model optimization problems of a variety of kinds, including linear programming, integer programming, conic optimization, semidefinite programming ...
Miles Lubin   +5 more
semanticscholar   +1 more source

Mathematical Optimization

Machine Learning Refined, 2020
This field of mathematics quantifies complex decision-making problems in business and government into mathematical models. Then using sophisticated mathematical and computing techniques, it identifies optimal solutions.

semanticscholar   +3 more sources

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   +4 more
semanticscholar   +1 more source

Mathematical theory of optimal control

Journal of Soviet Mathematics, 1981
Papers on optimal, control theory, reviewed in Referativnyi Zhurnal “Matematika” during 1971–1975, are surveyed.
R. Gabasov, F. M. Kirillova
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

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   +8 more
semanticscholar   +1 more source

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   +1 more
openaire   +2 more sources

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