Results 31 to 40 of about 9,695 (338)
Lagrange Multiplier Method for Convex Programs [PDF]
The problem of minimizing a convex function that is subject to the constraint that a number of other convex functions be nonpositive can be treated by the Lagrange multiplier method. Such a treatment was revived by Kuhn and Tucker and further studied by many other scientists.
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The interval finite element method based on the element-by-element technique is proved to be a rigorous and efficient method for considering interval uncertainties.
Jingbo Su +4 more
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Analysis of Wide-Frequency Dense Signals Based on Fast Minimization Algorithm
To improve the detection speed for wide-frequency dense signals (WFDSs), a fast minimization algorithm (FMA) was proposed in this study. Firstly, this study modeled the WFDSs and performed a Taylor-series expansion of the sampled model.
Zehui Yuan +4 more
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Decoupling Capacitor Placement Optimization With Lagrange Multiplier Method
This paper proposes a decoupling capacitor placement optimization method based on the cavity model and Lagrange multiplier. The variable conditions associating with coordinates (x,y) of input impedance expression based on the cavity model are combined ...
Jun Wang +5 more
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Rate-distortion optimization (RDO) plays an essential role in substantially enhancing the coding efficiency. Currently, rate-distortion optimized mode decision is widely used in scalable video coding (SVC). Among all the possible coding modes, it aims to
Ying Chen, Guizhong Liu
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This paper proposes a new original non-calculus method to solving the utility maximization problem using the Cobb-Douglas and the CES utility functions, and incorporating the weighted arithmetic-geometric-mean inequality (weighted AM-GM inequality) and ...
Vedran Kojić
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A Novel Iterative Scheme and Its Application to Differential Equations
The purpose of this paper is to employ an alternative approach to reconstruct the standard variational iteration algorithm II proposed by He, including Lagrange multiplier, and to give a simpler formulation of Adomian decomposition and modified Adomian ...
Yasir Khan, F. Naeem, Zdeněk Šmarda
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In this chapter, the Variational Iteration Method (VIM) is applied in finding the solution of differential equations with emphasis laid on the choice of the Lagrange multiplier used while employing VIM.
F. Ogunfiditimi, N. Okiotor
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Numerical Solution of Modified Cubic-Boussinesq Equation using He-Kamal Transform with Lagrange Multiplier [PDF]
Cubic-Boussinesq equation is very crucial for modeling nonlinear wave phenomena, capturing intricate dynamics like wave breaking and soliton interactions. Its significance lies in its ability to describe the behavior of waves in diverse physical contexts,
Oludapo Olubanwo +6 more
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Methodical aspects of the reliability-based structural optimisation using stochastic quasigradient methods are considered. For an example of the simply supported reinforced concrete beam, the employment of the Lagrange multiplier method that belongs to ...
E. R. Vaidogas
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