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Linear programming is a special field of applied mathematics that deals with solving optimization problems while certain conditions or constraints must be fulfilled. Aim of linear programming is to find a solution how to...

Abstract In this paper we suggested a new learning rate , which improves the classical Backpropagation algorithm (BP). The derivatation of are based on approximating the error function to the quadratic one in sufficientl...

Introduction: Human immunoglobulins are the standard of care for patients with immunodeficiencies and represent a first-line treatment for chronic inflammatory demyelinating polyneuropathy (CIDP). This study aimed to eva...

Current shampoo bottles are oversized, using more plastic than necessary. In order to promote plastic minimization, the aim of this work is to determine how much it is possible to reduce the thickness of current shampoo ...

Abstract In this paper, we propose a modified version of the shifted VM algorithms where the matrices have the form where and are symmetric positive semi definite matrices, usually , is obtained from to satisfy the shift...

In this paper, we have discussed and investigated two nonlinear extended PR-CG method which use function and gradient values. The two new methods involve the standard CG-methods and have the sufficient descent and global...

In this paper, we have discussed and investigated two nonlinear extended PR-CG method which use function and gradient values. The two new methods involve the standard CG-methods and have the sufficient descent and global...

Conjugate gradient algorithms come in a wide range of flavors. The conjugate gradient technique primarily concentrates on the spectral parameter. It follows the standard method proposed by Hastens and Stiefel, In this st...

In this paper, a new hybrid nonlinear conjugate gradient method are presented, which produce sufficient descent search direction at every iteration. This method showed globally convergent under some assumptions. The nume...

Balancing high display performance with energy efficiency is crucial for global sustainability. Lowering operating frequencies—such as enabling 1 Hz operation in fringe-field switching (FFS) liquid crystal displays—r...

"We model incompressible Stokes flows with an adaptive stabilized finite element method, which solves a discretely stable saddle-point problem to approximate the velocity-pressure pair. Additionally, this saddle-point pr...

Achievement of balanced development of socio-economic systems of different levels lies in the plane of effective regulation of processes arising as a result of the action of various factors associated with negative pheno...

Five different objective functions were studied with the purpose of analyzing their performance for parameters estimation of vapor-liquid equilibrium models for a series of 13 non-polar and 13 polar asymmetric binary mix...

Abstract The considerable heat treatment induced runout value in the end face of the automobile main reducer gear is always dimensionally out of tolerance. It directly affects the dimensional accuracy, the grade of carbu...

Minimization of query execution time is an important performance objective in distributed databases design. While total time is to be minimized for On Line Transaction Processing (OLTP) type queries, response time has to...

The differences between the concepts of “tax planning”, “tax minimization” and “tax optimization” are investigated and it is established that tax minimization is the maximum reduction of all taxes, tax optimi...

In this article, we address the design of hydrogen supply chains for vehicle use with economic and environmental concerns. Given a set of available technologies to produce, store, and deliver hydrogen, the problem consis...

Abstract This comprehensive review examines the application of life cycle assessment (LCA) in the leather industry, emphasizing its pivotal role in advancing circular economy integration. Through literature analysis and ...

We investigate five different models for the dark matter (DM) halo bias, that is, the ratio of the fluctuations of mass tracers to those of the underlying mass, by comparing their cosmological evolution using optical qua...

Abstract A compartmental mathematical model was developed to examine the transmission dynamics of chikungunya, integrating media awareness and optimal control strategies. Both asymptomatic and symptomatic infectious cate...

In this work, we present a method for signal-to-noise ratio maximization using a linear filter based on minor component analysis of the noise covariance matrix. As we will see, the greatest benefits are obtained when bot...

Introduction. In recent days, electric vehicles, robotics and in many control system applications, permanent magnet synchronous motors (PMSMs) are widely utilized. Problem. Due to non-linear behavior of system, external ...