The Cramer Triangulation for Solving the Triangle Distribution Optimization Problem


The Cramer Triangulation for Solving the Triangle Distribution Optimization Problem – This paper proposes a simple algorithm for the problem of finding the solution in the Triangle distribution minimization problem. The algorithm, called the triangle-sum algorithm, is a very popular method for minimization, which is to solve a set of triangle-sum problems on a graph. The problem is NP-hard, but theoretically possible, due to its non-linearity. The triangle-sum algorithm gives us a practical intuition, which motivates us to use it in solving problems with non-convex, non-Gaussian, cyclic and linear constraints. We first show that the algorithm is a very efficient solver. Then we show that our algorithm is a generalization of the triangle-sum algorithm that can be found in general. The new algorithm is a new algorithm for solving problems that are NP-hard on the graph.

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The Cramer Triangulation for Solving the Triangle Distribution Optimization Problem

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