The area of approximation algorithms is aimed at giving provable guarantees on the performance of heuristics for hard problems. The course will present general techniques (such as convex ...
Abstract: We are given a set of items, and a set of knapsacks. Both the weight and the profit of an item are functions of the knapsack, and each knapsack has a positive real capacity. A restriction is ...
Big O - upper bound Big Omega - lower bound Big Theta - upper and lower bound - that's what's usually used but called Big O. An ArrayList is implemented with an array. When the array hits capacity, ...
In recent years, machine learning techniques have been widely used in biomedical research to predict unseen data based on models trained on experimentally derived data. In the current study, we used ...
This paper presents a continuous method for solving binary quadratic programming problems. First, the original problem is converted into an equivalent continuous optimization problem by using NCP ...
Abstract: Rapid uptake of distributed energy resources (DER) requires a new market platform for their active participation to manage energy balance locally. This paper proposes a new Peer to Peer (P2P ...
We provide Ising formulations for many NP-complete and NP-hard problems, including all of Karp's 21 NP-complete problems. This collects and extends mappings to the Ising model from partitioning, ...
The Dynamic Vehicle Routing Problem with Stochastic Requests (DVRPSR) is a prototypical problem in transportation logistics. The DVRPSR calls for an initial route plan and an online scheduling policy ...
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