We present new conditions for a Karush-Kuhn-Tucker point to be a global minimizer of a mathematical programming problem which may have many local minimizers that are not global. The new conditions make use of underestimators ...

In this paper, we present Lagrange multiplier necessary conditions for global optimality that apply to non-convex optimization problems beyond quadratic optimization problems subject to a single quadratic constraint. In ...

We present geometric criteria for a feasible point that satisfies the Kuhn-Tucker conditions to be a global minimizer of mathematical programming problems with or without bounds on the variables. The criteria apply to ...

Ab initio molecular orbital calculations on formohydroxamic and acetohydroxamic acids give stabilities in the order: E-keto ≫ Z-keto ≫ Z-enol ≫ E-enol. However, on hydration the E-keto and Z-keto order is reversed, in ...

Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all pairwise distances between patterns must be computed ...

This paper proposes a self-organising delay adaptation spiking neural network model for clustering control chart patterns. This temporal coding spiking neural network model employs a Hebbian-based rule to shift the connection ...

In this work we establish conditions for a feasible point to be a global minimizer of a fixed charge quadratic model program. This program has a wide variety of classic applications, for instance, in facility location, ...

The present investigation was carried out to quantify the lipid reserves and to find out the correlation with standard length and water content for total lipid content in different body tissues of Scomberoides lysan. Energy ...

The present investigation was carried out to understand the total lipid and cholesterol content of flesh of five commercially important adult fishes such as Siganus lineatus, Gerres oblongus, Scoliodon laticaudus, Scomberoides ...

The bag-of-keypoints representation started to be used as a black box providing reliable and repeatable measurements from images for a wide range of applications such as visual object recognition and texture classification. ...