This paper proposes bounds for the objective function of convex quadratic programming problem (QPP) in general form. The method uses just the eigenvalues of the Hessian matrix. By use of the eigenvalues of the Hessian matrix and solving two simple...

This paper presents a new recurrent neural network for solving quadratic programming

problems. The new model is simpler and more intuitive than existing models and

converges very fast to exact primal and dual solutions....

and the successive quadratic programming, as the local search step. In the first phase, VNS starts with a completely random initial solution of control input values. To increase the accuracy of the solution obtained from the phase 1, some new time nodes are added...

This paper presents a new method for analyzing Array comparative genomic hybridization (aCGH) data

based on Correntropy. A new formulation based on low-rank aCGH data and Correntropy is proposed and

its ...

numbers, we show that to compare two LR fuzzy numbers, we do not need to compute the fuzzy maximum of two numbers
directly. We propose a new variable neighborhood search approach for solving fuzzy number quadratic programming problems
by using...

Recently, Ghanbari and Mahdavi-Amiri (Appl Math Model 34:3363–3375, 2010) gave the general compromised solution of
an LR fuzzy linear system using ABS algorithm. Here, using this general solution, we solve quadratic programming problems...

This paper discusses the interval-fuzzy quadratic programming problems

where the cost coefficient, and constraint coefficient, and right-hand sides, are

represented by interval-fuzzy data. Since the parameters are interval...

This paper presents a new neural network for solving quadratic programming problems.The

new model has a simple form, furthermore it has a good convergence rate with a less

number calculation operation than the old models. It converges...

We discuss how to solve bipolar fuzzy quadratic programming problems, where the parameters are bipolar

triangular fuzzy numbers, making use of linear ranking functions. Also, we explore some duality properties of bipolar triangular fuzzy...

algorithm for solving fuzzy number quadratic programming problems. In our

algorithm, the local search is defined based on descent directions. We show the effectiveness of our

proposed method in comparison with some available methods by using a...