Jul 11, 2003 · This paper represents an on-going research and concerns the development of an unified formal modeling framework designed to provide for model sharing, reusability and …

We show that accelerated optimization methods can be seen as particular instances of multi-step integration schemes from numerical analysis, applied to the gradient flow equation.

We describe optimization strategies that help reduce the model complexity, and improve the process execution using design time techniques. In order to achieve this, we formalize …

Jul 1, 2022 · Critical issues such as an overview of IES structure, IES modeling approaches and techniques, application of ML in IES research, and the trends of integrating ML and …

Jul 16, 2024 · We identified key trends and highlighted the integration of artificial intelligence (AI) with traditional computational methods. Some of the cited works were previously published …

Introduction to Numerical Integration, Optimization, Differentiation and Ordinary Differential Equations Overview: Elements of Numerical Analysis • Numerical integration • Optimization • …

Dec 4, 2017 · We show that accelerated optimization methods can be seen as particular instances of multi-step integration schemes from numerical analysis, applied to the gradient …

Issues in Optimization • How to formulate a real-life problem – Three steps: variables, objective, constraints • How to recognize a solution being optimal? – Easy to check • How to measure …

It provides recent theoretical developments and new techniques based on control, optimization theory, mathematical modeling and fractional calculus that can be used to model and …

Describe new/recent effective optimization/game models/methods/algorithms in Data Science, Machine Learning and AI. Emphasis is on nonlinear, nonconvex and stochastic/sample-based …