The Lagrange multiplier method is an effective method for finding the extreme values of functions, which can solve some complex mathematical and engineering problems. The introduction of this method ...

Abstract: In this paper, a Lagrange multiplier based perceptual optimization scheme is proposed for high efficiency video coding (HEVC). Firstly, we propose a non-linear adjustment scheme for the ...

Abstract: With the integration of multiple types of loads and renewable generations, the number of system states significantly grows. As a result, running optimal power flow (OPF) to analyze a myriad ...

In this paper, a new augmented Lagrangian function with 4-piecewise linear NCP function is introduced for solving nonlinear programming problems with equality constrained and inequality constrained.

I was wondering whether anyone had tested the accuracy of the Lagrange multipliers returned by the minimizer method SLSQP? I created a very simple problem of minimizing (x - c)^2 with bounds 1 <= x <= ...

Vol. 35, No. 3, Special issue dedicated to professor Qamrul Hasan Ansari on the occasion of his 6oth anniversary (2019), pp. 407-416 (10 pages) In this article, by using the notions of contingent ...

Cet outil a été développé à l'aide de différentes librairies dont la liste se trouve ci dessous. Afin d'installer ces librairies, vous pouvez utiliser pip et entrer les commandes classiques telles que ...

This is a preview. Log in through your library . Abstract Testing for first-order auto-regressive errors in a linear regression model is considered. It is found that the L1-norm based Lagrange ...