Linear programming for the 0-1 quadratic knapsack problem In this paper we consider the quadratic knapsack problem which consists in maximizing a positive quadratic pseudo-Boolean function subject to a linear capa... A Billionnet,F Calmels - 《European Journal of Operational Research》 被引量: 15...
We consider a wireless sensor network's lifetime maximization problem as an integer linear programming problem when the redundant set of covers is given, and it is necessary to choose a lifetime of each cover subject to the limited sensor's resources. Irrespective of the function of any sensor...
linear programmingThis paper presents a new concept of efficient solution for the linear vector maximization problem. Briefly, these solutions are efficient with respect to the constraints, in addition to being efficient with respect to the multiple objectives. The duality theory of linear vector ...
The linear programming problem can be solved using different methods, such as the graphical method, simplex method, or by using tools such as R, open solver etc. Here, we will discuss thetwomost important techniques called the simplex method and graphical method in detail. What is maximization ...
Atul-Anand-Jha / Optimization-LinearProgramming-Python Star 13 Code Issues Pull requests To implement Optimization (maximization) problem through Linear programming in Python Language. machine-learning jupyter-notebook python3 scipy matplotlib pulp optimization-algorithms maximization Updated Nov 20, 2019...
Summary: The problem of maximizing the determinant of a matrix subject to linear matrix inequalities (LMIs) arises in many fields, including computational geometry, statistics, system identification, experiment design, and information and communication theory. It can also be considered as a generalization...
linear fractional programmingefficient pointsA vector maximum problem (VMP) with linear fractional objectives and non-linear constraints is considered and a condition is derived which is both necessary and sufficient for an efficient solution of (VMP). This study subsumes the results of Isekmann [3...
Formulation of a linear programming problem where is to maximize the system lifetime which is equivalent to the time until the first node runs out of battery. Maximum system lifetimes are calculated by MATLAB optimization technique using and without using efficient compression algorithm like LPC in ...
We present a new approach called MLPR (matrix multiplication, linear programming, randomized rounding) with linear programming used as its core in order to solve the influence maximization problem in the linear threshold model. Experiments on four real data sets have shown the efficiency of the ...
International Conference on Integer Programming and Combinatorial Optimization 1703 Accesses Abstract We study the problem of finding a maximum matching in a graph given by an input stream listing its edges in some arbitrary order, where the quantity to be maximized is given by a monotone submodular...