Abstract: Artificial neural networks for solving different variants of linear programming problems are proposed and analyzed by the Lyapunov direct method. An energy function ... form (S.K. Persidskii ...

Abstract: The sparsity-regularized linear inverse problem has been widely ... medical imaging, etc. This method offers greater flexibility in solving real-world problems. There are various types of ...

VRP is a NP-hard problem and hence the computational time increases polynomially even for a small increment in the problem size. We can levitate the time windows constraint if only solving the ...

head teachers and governors will ensure their schemes address and solve the problems common to many schools in a fresh and innovative way that makes full use of the school’s invaluable and perhaps ...

Include the simplex.js file in your HTML file. Define the number of variables and constraints in your linear programming problem using HTML input fields with IDs numVariables and numConstraints. Use ...

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Both types of series can still be seasonally adjusted using the same seasonal adjustment process. Seasonal adjustment is the process of estimating and then removing from a time series influences that ...

Department of Mathematics, University of Southern Mississippi, Hattiesburg, MS 39406, USA ...