Search Results - subject:"Conjugate gradient"

Solving L <Subscript>1</Subscript>-CTA in 3D tables by an interior-point method for primal block-angular problems

Castro, Jordi; Cuesta, Jordi - In: TOP: An Official Journal of the Spanish Society of … 21 (2013) 1, pp. 25-47

The purpose of the field of statistical disclosure control is to avoid that confidential information could be derived from statistical data released by, mainly, national statistical agencies. Controlled tabular adjustment (CTA) is an emerging technique for the protection of statistical tabular...

Persistent link: https://www.econbiz.de/10010995415

Preconditioning and globalizing conjugate gradients in dual space for quadratically penalized nonlinear-least squares problems

Gratton, Serge; Gürol, Selime; Toint, Philippe - In: Computational Optimization and Applications 54 (2013) 1, pp. 1-25

conjugate-gradient-like method which performs the quadratic minimization in the dual space and produces, in exact arithmetic … that are equivalent to those obtained with a Steihaug-Toint truncated conjugate-gradient method in the primal space …

Persistent link: https://www.econbiz.de/10010998288

Improving an interior-point approach for large block-angular problems by hybrid preconditioners

Bocanegra, Silvana; Castro, Jordi; Oliveira, Aurelio R.L. - In: European Journal of Operational Research 231 (2013) 2, pp. 263-273

systems by combining Cholesky factorizations for the block constraints and a conjugate gradient based on a power series …

Persistent link: https://www.econbiz.de/10010682483

GLOBAL CONVERGENCE OF TWO KINDS OF THREE-TERM CONJUGATE GRADIENT METHODS WITHOUT LINE SEARCH

YIN, LIANG; CHEN, XIONGDA - In: Asia-Pacific Journal of Operational Research (APJOR) 30 (2013) 01, pp. 1250043-1

The conjugate gradient method is widely used in unconstrained optimization, especially for large-scale problems …

Persistent link: https://www.econbiz.de/10010660899

A modified scaled memoryless BFGS preconditioned conjugate gradient method for unconstrained optimization

Babaie-Kafaki, Saman - In: 4OR : a quarterly journal of operations research 11 (2013) 4, pp. 361-374

Persistent link: https://www.econbiz.de/10010227999

Using approximate secant equations in limited memory methods for multilevel unconstrained optimization

Gratton, Serge; Malmedy, Vincent; Toint, Philippe - In: Computational Optimization and Applications 51 (2012) 3, pp. 967-979

Persistent link: https://www.econbiz.de/10010998314

A note on the global convergence theorem of the scaled conjugate gradient algorithms proposed by Andrei

Babaie-Kafaki, Saman - In: Computational Optimization and Applications 52 (2012) 2, pp. 409-414

Persistent link: https://www.econbiz.de/10010558261

Gradient algorithms for quadratic optimization with fast convergence rates

Pronzato, Luc; Zhigljavsky, Anatoly - In: Computational Optimization and Applications 50 (2011) 3, pp. 597-617

Persistent link: https://www.econbiz.de/10009404457

A hybrid Kaczmarz–Conjugate Gradient algorithm for image reconstruction

Popa, Constantin - In: Mathematics and Computers in Simulation (MATCOM) 80 (2010) 12, pp. 2272-2285

The present paper is a theoretical contribution to the field of iterative methods for solving inconsistent linear least squares problems arising in image reconstruction from projections in computerized tomography. It consists on a hybrid algorithm which includes in each iteration a CG-like step...

Persistent link: https://www.econbiz.de/10010870474

Truncated regularized Newton method for convex minimizations

Li, Ying-Jie; Li, Dong-Hui - In: Computational Optimization and Applications 43 (2009) 1, pp. 119-131

Persistent link: https://www.econbiz.de/10004999521