Gas Network Optimization and Nonlinear Programming Publication Trend The graph below shows the total number of publications each year in Gas Network Optimization and Nonlinear Programming.

Mixed-integer nonlinear programming (MINLP) optimisation constitutes a critical methodology in tackling complex decision-making problems where both discrete choices and continuous variables are ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

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CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained ...

MicroCloud Hologram Inc. Develops Nonlinear Quantum Optimization Technology Based on Efficient Model Encoding MicroCloud Hologram Inc. Mon, May 12, 2025, 5:00 AM 6 min read ...

On the other hand, the introduction of nonlinear activation functions enables HOLO's optimization method to better address non-convex optimization problems. Traditional variational quantum ...

Learn how to implement the AdaMax optimization algorithm from scratch in Python. A great tutorial for understanding one of the most effective optimizers in deep learning. Trump administration ...

Abstract: This paper proposes a normed-space vector representation of networks which allows defining evolutionary operators for network optimization that resemble continuous-space operators. These ...

ABSTRACT: The article is devoted to decision making regarding controlling the operation of tubular gas heaters (TGH) on wood pellets. Experimental results of the study of the operation of TGH on ...