Results 91 to 100 of about 245,277 (249)
Selecciones MatemáticasThe purpose of the present paper is to improve the global convergence results established so far concerning the Augmented Lagrangian Algorithm with exponential penalty function for solving nonlinear programming problems with equality and inequality ...
Frank Navarro Rojas +1 more
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Effect of Variations in the Ring Thickness on the Dynamic Performance of the Bimetal Gears
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT This study used a six‐degrees‐of‐freedom dynamic model to analyze the dynamic response of bimetal spur gears. Aluminum alloy forms the core of the bimetal gears, and a uniform‐thickness steel ring surrounds the teeth. Gear mesh stiffness of bimetal gears and the transmission error have been assessed using a numerical approach based on finite ...
Bikramjit Singh +2 more
wiley +1 more source
An Efficient Method for Euler’s Elastica Based Image Deconvolution
IEEE Access, 2019 Variational models involving Euler's elastica energy have a wide range of applications in digital image processing. Recently, fast methods, such as the proximal-augmented Lagrangian method (PALM), have been successfully used to solve nonlinear higher ...
Samad Wali +6 more
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An Asymptotically Superlinearly Convergent Semismooth Newton Augmented Lagrangian Method for Linear Programming [PDF]
SIAM Journal on Optimization, 2019 Powerful interior-point methods (IPM) based commercial solvers, such as Gurobi and Mosek, have been hugely successful in solving large-scale linear programming (LP) problems.
Xudong Li, Defeng Sun, K. Toh
semanticscholar +1 more source
Explicit‐Implicit Material Point Method for Dense Granular Flows With a Novel Regularized µ(I) Model
International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.ABSTRACT The material point method (MPM) is widely employed to simulate granular flows. Although explicit time integration is favored in most current MPM implementations for its simplicity, it cannot rigorously incorporate the incompressible µ(I)‐rheology, an efficient model ubiquitously adopted in other particle‐based numerical methods. While operator‐
Hang Feng, Zhen‐Yu Yin
wiley +1 more source
A new ADMM algorithm for the Euclidean median and its application to robust patch regression
, 2015 The Euclidean Median (EM) of a set of points $\Omega$ in an Euclidean space is the point x minimizing the (weighted) sum of the Euclidean distances of x to the points in $\Omega$.
Chaudhury, Kunal N., Ramakrishnan, K. R.
core +1 more source
Augmented Lagrangian methods for variational inequality problems [PDF]
RAIRO - Operations Research, 2010 Summary: We introduce augmented Lagrangian methods for solving finite dimensional variational inequality problems whose feasible sets are defined by convex inequalities, generalizing the proximal augmented Lagrangian method for constrained optimization.
Iusem, Alfredo N., Nasri, Mostafa
openaire +2 more sources
An Exact Method for Reliable Shortest Path Problems With Correlation
Networks, EarlyView.ABSTRACT Shortest path problems often arise in contexts where travel times are uncertain. In these settings, reliable paths are often valued more than paths with lower expected travel times. This has led to several variants of reliable shortest path problems (RSPP) that handle travel time reliability differently. We propose an algorithmic framework for
Esteban Leiva +3 more
wiley +1 more source
PID‐Like Robust Control of Non‐Minimum Phase Robotic Manipulators
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT This paper proposes an output‐feedback tracking controller for non‐minimum phase nonlinear systems with unknown uncertainties and external disturbances, where not all states are measurable, and the zero dynamics are unstable. The approach combines a backstepping‐based stabilizing state‐feedback law with a cascade extended high‐gain observer ...
Mohammad Al Saaideh +2 more
wiley +1 more source
Journal of Applied MathematicsThis paper uses an augmented Lagrangian method based on an inexact exponential penalty function to solve constrained multiobjective optimization problems. Two algorithms have been proposed in this study.
Appolinaire Tougma, Kounhinir Some
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