This project offers a concise implementation of the Two Phase Simplex method, a robust algorithm tailored for solving linear programming problems. It efficiently optimizes linear objective functions ...

1. Introduction. The nonlinear multidimensional knapsack problem is defined as minimizing a convex function with multiple linear constraints. The nonlinear knapsack problem is a class of nonlinear ...

In all the aforementioned works, none has gone beyond solving problems in two-dimensional spaces with segmentation. This paper is basically on obtaining optimal solutions and segmentation of Linear ...

Simulated Annealing (SA) offers several advantages for Linear Programming (LP) problems, such as the ability to handle nonlinear, discrete, or mixed-integer problems which are difficult or ...

This solver is super efficient for small-dimensional LP with any constraint number, mostly encountered in computational geometry. It enjoys linear complexity about the constraint number.. The speed is ...

This problem can be tackled in different ways. In this paper, a general broadband beamformer design problem is considered. The problem is posed as a Chebyshev minimax problem. Using the l/sub 1/-norm ...

This paper considers the application of linear programming to the design of two-dimensional recursive digital filters. Although the desired specification consists of both magnitude and phase, the ...