Abstract: We extend the relation between univariate polynomial optimization in one complex variable and the polynomial eigenvalue problem to the multivariate case. The first-order necessary conditions ...

Department of Computer Science and Technology, Guangzhou University, Guangzhou, China. Optimization problems are widely encountered in various fields of science and technology. When an optimization ...

In real life, there are many applications where we need to take care of multiple parameters to get the optimized result. Similarly, many scientific and engineering problems require optimization of ...

Increasing the final titer of a multi-gene metabolic pathway can be viewed as a multivariate optimization problem. While numerous multivariate optimization algorithms exist, few are specifically ...

Repository to the data and analyses of the paper entitled: "A multi-objective robust evolutionary optimization approach applied to the multivariate helical milling ...

Develop a Python function (Multivariate Optimization) to compute the Hessian matrix for a given scalar-valued function of multiple variables. In mathematics, the Hessian matrix or Hessian is a square ...

Problem definition: Assortment selection is one of the most important decisions faced by retailers. Most existing papers in the literature assume that customers select at most one item out of the ...