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 ...

Online (also called "recursive" or "adaptive") estimation of fixed model parameters in hidden Markov models is a topic of much interest in times series modeling. In this work, we propose an online ...

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 ...

This repository present the code of a proposal of hybridization of the evolutionary algorithm L-SHADE (Success-History based Adaptive Differential Evolution with Linear Population Size Reduction) with ...

You must take 1.0 units(s) to satisfy this paper's requirements. You must take 1.0 units(s) to satisfy this paper's requirements. You must take 0.5 units(s) should be taken from this section.

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 ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

You must take 1.0 units(s) to satisfy this paper's requirements. You must take 0.5 units(s) should be taken from this section. At least 1 modules should be taken from this section. No more than 1 ...