Results 161 to 170 of about 5,505 (195)

Relative Entropy Computations for Nonlinear Deformations of the Porous Steel Structures. [PDF]

Materials (Basel)
Strąkowski M, Kamiński M.
europepmc   +1 more source

Robust Emax model fitting: Addressing nonignorable missing binary outcome in dose-response analysis. [PDF]

Stat Methods Med Res
Zhang J, Pradhan V, Zhao Y.
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Leveraging transcription factor physical proximity for enhancing gene regulation inference. [PDF]

Bioinformatics
Huang X, Hullur AR, Jafari E, Shridhar K, Zhou M, Mackie K, Huang K, Wang Y.   +7 more
europepmc   +1 more source

Integrating preliminary test and Stein-type techniques to improve estimation in the time-dependent Cox model. [PDF]

PLoS One
Ramezani R, Rabiei MR, Arashi M.
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A one-transistor organic electrochemical self-sustained oscillator model for neuromorphic networks.

Newton
Bisquert J, Tessler N.
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A quasi-Newton type method for equilibrium problems

Numerical Algorithms, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Leonardo A. Sousa, Susana Scheimberg, Pedro Jorge Sousa dos Santos, Paulo Sérgio Marques dos Santos   +3 more
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Quasi-Newton Bundle-Type Methods for Nondifferentiable Convex Optimization

SIAM Journal on Optimization, 1998
The authors present a method for solving the nondifferentiable convex programming problem: \(\min f(x)\) subject to \(x\in\mathbb{R}^n\), where \(f: \mathbb{R}^n\to\mathbb{R}\) is a nondifferentiable convex function. The method is developed using the ideas of the Moreau-Yosida regularization [\textit{K.
Robert Mifflin, Defeng Sun, Liqun Qi 0001   +2 more
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Nonlocal quasi-Newton method for solving convex variational inequalities

Cybernetics and Systems Analysis, 1994
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Panin, V. M., Aleksandrova, V. M.
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A modified BFGS type quasi-Newton method with line search for symmetric nonlinear equations problems

Journal of Computational and Applied Mathematics, 2020
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A globally convergent constrained quasi-Newton method with an augmented lagrangian type penalty function

Mathematical Programming, 1982
The recently proposed quasi-Newton method for constrained optimization has very attractive local convergence properties. To force global convergnce of the method, a descent method which uses Zangwill's penalty function and an exact line search has been proposed by Han.
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