Results 11 to 20 of about 118,287 (121)
On q-Quasi-Newton’s Method for Unconstrained Multiobjective Optimization Problems
A parameter-free optimization technique is applied in Quasi-Newton’s method for solving unconstrained multiobjective optimization problems. The components of the Hessian matrix are constructed using q-derivative, which is positive definite at every ...
Kin Keung Lai +2 more
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As the time spent by people indoors continues to significantly increase, much attention has been paid to indoor air quality. While many IAQ studies have been conducted through field measurements, the use of data-driven techniques such as machine learning
Jeeheon Kim +3 more
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Geometrically nonlinear analysis is required for resolving issues such as loading causes failure and structure buckling analysis. Although numerical methods are recommended for estimating the exact solution, they lack the necessary convergence in the ...
Razaghi Ahmad +2 more
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Magnetotelluric (MT) and magnetovariational (MV) sounding are two principal geophysical methods used to determine the electrical structure of the earth using natural electromagnetic signals.
Hui Yu +6 more
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On the construction of minimisation methods of quasi-Newton type
The paper investigates possibilities for the formulation of new quasi- Newton type methods. In doing so the so-called secant equation of the classical quasi-Newton algorithms is replaced by a more general equation. In this way it is possible to give a nonlinear approximation of the Newton equation, the solution of which corresponds to the Newton search
Ford, John A., Saadallah, Adel F.
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A Modified Algorithm Based on Haar Wavelets for the Numerical Simulation of Interface Models
In this paper, a new numerical technique is proposed for the simulations of advection-diffusion-reaction type elliptic and parabolic interface models.
Gule Rana +6 more
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Telegraph equations are hyperbolic partial differential equations that may be used to represent reaction–diffusion processes in a variety of engineering and biological disciplines.
Uday Singh
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A Symmetric Rank-one Quasi Newton Method for Non-negative Matrix Factorization [PDF]
As we all known, the nonnegative matrix factorization (NMF) is a dimension reduction method that has been widely used in image processing, text compressing and signal processing etc.
Lai, Shu-Zhen +2 more
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Preconditioning on subspace quasi-Newton method for large scale unconstrained optimization [PDF]
Recently, subspace quasi-Newton (SQN) method has been widely used in solving large scale unconstrained optimization. Besides constructing sub-problems in low dimensions so that the storage requirement as well as computational cost can be reduced, it can ...
Ismail, Fudziah +2 more
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Estimation of variance components by Monte Carlo (MC) expectation maximization (EM) restricted maximum likelihood (REML) is computationally efficient for large data sets and complex linear mixed effects models.
Kaarina Matilainen +4 more
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