Recently, a research team from the Rudolf Technology Center in Slovenia proposed a new method to optimize the sparse subgraph problem, which has wide applications in fields such as network analysis ...

A mathematician at Carnegie Mellon University has developed an easier way to solve quadratic equations. The mathematician hopes this method will help students avoid memorizing obtuse formulas. His ...

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Abstract: This paper presents adaptive robust quadratic program (QP) based control using control Lyapunov and barrier functions for nonlinear systems subject to time ...

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...

The MBA personal interview questions can be classified in six important categories. You need to go through these probable questions, and finalize your answers after drafting and redrafting your ...

Abstract: Group consensus is an important method for making business decisions. In this paper, the consensus process is defined as a dynamic and interactive group decision process, which is ...

The Graph is in a continuous downtrend with prices not respecting any support levels. Investors are keen to know if this token which claims to have strong fundamentals, has the capacity to recover in ...

Spreadsheets have been a trusted companion in our professional lives for decades—whether it’s tracking budgets, analyzing data, or planning projects. But let’s be honest: as powerful as tools like ...

This library provides a solve_qp function to solve convex quadratic programs: $$ \begin{split} \begin{array}{ll} \underset{x}{\mbox{minimize}} & \frac{1}{2} x^T P x + q^T x \\ \mbox{subject to} & G x ...

Quadratic Funding is a groundbreaking mechanism designed to democratize the allocation of funds for public goods. Rooted in mathematical optimization, it leverages a unique formula to match individual ...