Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...

Backtracking is a method for solving problems by building candidates for solutions incrementally and abandoning candidates ("backtracking") as soon as it is determined that they cannot lead to a valid ...

Ewan has been a content writer since 2020, and loves nothing more than discussing all things gaming. While he's been playing games all his life, he has a particular interesting in anything even ...

Advancements in natural language processing have greatly enhanced the capabilities of language models, making them essential tools for various applications, including virtual assistants, automated ...

This is an implementation of the Sub Set Sum Backtracking algorithm in C. The algorithm is used to find a subset of a given set of numbers that adds up to a given sum. The algorithm is implemented ...

The accuracy of photovoltaic (PV) power forecasting techniques relies not only on high-quality spatiotemporal data but also on an efficient feature-mining methodology. In this study, a spatiotemporal ...

Abstract: A well-known NP-hard problem from graph theory is the subgraph isomorphism problem where the goal is for given pattern and target graphs to determine whether the pattern is a subgraph of the ...

ABSTRACT: In this paper, we propose a nonmonotone adap-tive trust-region method for solving symmetric nonlinear equations problems. The convergent result of the presented method will be estab-lished ...

ABSTRACT: In this paper, a rank-one updated method for solving symmetric nonlinear equations is proposed. This method possesses some features: 1) The updated matrix is positive definite whatever line ...