Jacobian matrix: a bridge between linear and nonlinear polynomial-only problems
, 1999 By using the Hadamard matrix product concept, this paper introduces two generalized matrix formulation forms of numerical analogue of nonlinear differential operators. The SJT matrix-vector product approach is found to be a simple, efficient and accurate
Chen, W.
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Convergence Analysis of the Fast Subspace Descent Methods for Convex Optimization Problems
, 2019 The full approximation storage (FAS) scheme is a widely used multigrid method for nonlinear problems. In this paper, a new framework to design and analyze FAS-like schemes for convex optimization problems is developed.
Chen, Long, Hu, Xiaozhe, Wise, Steven M.
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The regularized CQ algorithm without a priori knowledge of operator norm for solving the split feasibility problem. [PDF]
J Inequal Appl, 2017 Tian M, Zhang HF.
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Regularized gradient-projection methods for finding the minimum-norm solution of the constrained convex minimization problem. [PDF]
J Inequal Appl, 2017 Tian M, Zhang HF.
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Relaxed alternating CQ algorithms for the split equality problem in Hilbert spaces. [PDF]
J Inequal Appl, 2018 Yu H, Wang F.
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An optimal adaptive wavelet method for first order system least squares. [PDF]
Numer Math (Heidelb), 2018 Rekatsinas N, Stevenson R.
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Weak convergence theorem for a class of split variational inequality problems and applications in a Hilbert space. [PDF]
J Inequal Appl, 2017 Tian M, Jiang BN.
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Runge-Kutta time semidiscretizations of semilinear PDEs with non-smooth data. [PDF]
Numer Math (Heidelb), 2016 Wulff C, Evans C.
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N-stability of the theta-method for reaction-diffusion problems [PDF]
, 2014 Faragó, István, Fekete, Imre
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Hierarchical convergence of an implicit double-net algorithm for nonexpansive semigroups and variational inequality problems [PDF]
, 2011 Yeol Je Cho +2 more
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