Tag combinatorial optimization
Tensor networks have emerged as powerful tools for solving large-scale optimization problems in recent years. These networks are capable of handling complicated tensor structures and have proven to be highly effective in various fields. One popular tensor network model is… Continue Reading →
What are Submodular Set-Functions? Submodular set-functions are mathematical objects that have various applications in combinatorial optimization. These functions can be minimized and approximately maximized in polynomial time, making them valuable tools in solving optimization problems. Real-world example: Imagine you are… Continue Reading →