This paper reviews the range of graphical methods available for use with nonparametric procedures, and provides examples of the use of many of the methods under the broad groupings: two-sample ...

Abstract: The purpose of this paper is to explore the application of K-Means cluster analysis and linear programming model in agricultural production. Firstly, the linear programming model is used to ...

Abstract: This paper investigates an agricultural planting strategy that integrates simulated annealing algorithm and linear programming. Addressing the crop planting issues in mountainous regions of ...

We present a case study on the utility of graphics cards to perform massively parallel simulation of advanced Monte Carlo methods. Graphics cards, containing multiple Graphics Processing Units (GPUs), ...

LSA-FW is a flexible, modular Python framework for global linear stability analysis of incompressible 2D and 3D flows. It integrates matrix/eigenvalue-based methods, with a strong focus on ...

Abstract. Point cloud analysis has seen substantial advancements due to deep learning, although previous Transformer-based methods excel at modeling long-range dependencies on this task, their ...

Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Amy is an ACA and the CEO and founder ...