Results 211 to 220 of about 245,277 (249)
Some of the next articles are maybe not open access.
An augmented Lagrangian method for video restoration
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011This paper presents a fast algorithm for restoring video sequences. The proposed algorithm, as opposed to existing methods, does not consider video restoration as a sequence of image restoration problems. Rather, it treats a video sequence as a space-time volume and poses a space-time total variation regularization to enhance the smoothness of the ...
Stanley H. Chan +4 more
openaire +1 more source
Augmented Lagrangian Method for Optimal Control Problems
2015This chapter describes a method for solving optimal control problems with boundary conditions at the right-hand end point of system trajectories. Such boundary conditions are expressed by means of finite-dimensional problem of convex programming. The trajectories are generated by a system of linear differential equations with control, and the latter is
Anatoly Antipin, Olga Vasilieva
openaire +1 more source
Mathematical programming, 2017
Due to the possible lack of primal-dual-type error bounds, it was not clear whether the Karush–Kuhn–Tucker (KKT) residuals of the sequence generated by the augmented Lagrangian method (ALM) for solving convex composite conic programming (CCCP) problems ...
Ying Cui, Defeng Sun, K. Toh
semanticscholar +1 more source
Due to the possible lack of primal-dual-type error bounds, it was not clear whether the Karush–Kuhn–Tucker (KKT) residuals of the sequence generated by the augmented Lagrangian method (ALM) for solving convex composite conic programming (CCCP) problems ...
Ying Cui, Defeng Sun, K. Toh
semanticscholar +1 more source
Accelerated augmented Lagrangian method for image reconstruction
2013 International Conference on Wireless Communications and Signal Processing, 2013In this paper, an efficient image reconstruction algorithm based on compressed sensing (CS) in the wavelet domain is proposed. The new algorithm is composed of three steps. Firstly, the image is represented with its coefficients using the discrete wavelet transform (DWT). Secondly, the measurement is obtained by using a random Gaussian matrix. Finally,
Zhen-Zhen Yang, Zhen Yang
openaire +1 more source
Coevolutionary augmented Lagrangian methods for constrained optimization
IEEE Transactions on Evolutionary Computation, 2000This paper introduces a coevolutionary method developed for solving constrained optimization problems. This algorithm is based on the evolution of two populations with opposite objectives to solve saddle-point problems. The augmented Lagrangian approach is taken to transform a constrained optimization problem to a zero-sum game with the saddle point ...
null Min-Jea Tahk, null Byung-Chan Sun
openaire +1 more source
Journal of the Operations Research Society of China, 2022
Y. Dai, Liwei Zhang
semanticscholar +1 more source
Y. Dai, Liwei Zhang
semanticscholar +1 more source
Decomposition-Coordination Methods by Augmented Lagrangian: Applications
1984A large number of problems in mathematics, physics, mechanics, economics, etc. may be formulated as $$ \mathop {Min}\limits_{v \in V} \left\{ {F\left( {Bv} \right) + G\left( v \right)} \right\}, $$ where V, H are topological vector spaces B ∈ ℒ(V, H) F: H → \( \bar R \), G: V → \( \bar R \) are convex proper l.s.c. functionals.
openaire +1 more source