ABSTRACT In this paper, we present the results of a new approach to the splitting factor preconditioner, which is a preconditioner based on the Incomplete Cholesky factorization and the splitting ...

Many operation optimization problems such as scheduling and assignment of interest to the automation community are mixed-integer linear programming (MILP) problems. Because of their combinatorial ...

Linear programming is a powerful optimization technique used to achieve the best outcome in problems with linear relationships.

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tl/dr: I need help with the "generate()" method described below... a nudge in the correct direction or perhaps, a good reference/tutorial/something that helps me understand dynamic programming ...

The algorithmic procedure then derives the optimal solution of the resulting multiparametric mixed-integer linear programming problem as an affine function of the ϵ parameters, which explicitly ...

Often, frustration level problems arise if teachers treat instructional level materials and assignments as independent level ones.

In this paper, we show how Murty’s ranked linear assignment algorithm can be applied to exactly solve the symmetric Traveling Salesman Problem (TSP). To increase the Murty algorithm’s computational ...

In the literature, streamline correspondence has been addressed with the nearest neighbor (NN) strategy. Differently, here we formulate the problem of streamline correspondence as a linear assignment ...