A primal-dual Quasi-Newton method for consensus optimization

Author(s):  
Mark Eisen ◽  
Aryan Mokhtari ◽  
Alejandro Ribeiro
2019 ◽  
Vol 67 (23) ◽  
pp. 5983-5997
Author(s):  
Mark Eisen ◽  
Aryan Mokhtari ◽  
Alejandro Ribeiro

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
B. Borsos ◽  
János Karátson

Abstract The goal of this paper is to present various types of iterative solvers: gradient iteration, Newton’s method and a quasi-Newton method, for the finite element solution of elliptic problems arising in Gao type beam models (a geometrical type of nonlinearity, with respect to the Euler–Bernoulli hypothesis). Robust behaviour, i.e., convergence independently of the mesh parameters, is proved for these methods, and they are also tested with numerical experiments.


1996 ◽  
Vol 32 (3) ◽  
pp. 1318-1321 ◽  
Author(s):  
C. Chat-Uthai ◽  
J.A. Ramirez ◽  
E.M. Freeman

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