A quantum framework for Combinatorial Optimization Problem with linear objective functions. It also can solve graph problem if it's optimization objective function can be represented as linear ...

The amount of time it takes for an algorithm to solve a polynomial function, which is a mathematical expression that does not contain fractions or negative numbers. The time is proportional to the ...

The Lagrange interpolation method is a polynomial interpolation technique used to approximate a function's values between given data points. It constructs a polynomial by taking a weighted sum of ...

We solve polynomials algebraically in order to determine the roots - where a curve cuts the \(x\)-axis. A root of a polynomial function, \(f(x)\), is a value for \(x\) for which \(f(x) = 0\).

Abstract: Graph learning has been extensively investigated for over a decade, in which the graph structure can be learnt from multiple graph signals (e.g., graphical Lasso) or node features (e.g., ...

Abstract: This study presents a relaxation method for second-order matrix-valued multivariate polynomial inequalities(SMMPI), with a specific application to the ...