. UNCONVENTIONAL ITERATIVE METHODS FOR NONCONVEX OPTIMIZATION IN A MATRIX-FREE ENVIRONMENT

Source URL: optml.lehigh.edu

Iterative Sparsity Methods for Coding and Deconvolution with Overcomplete Transforms Nick Kingsbury, Tanya Reeves and Yingsong Zhang Signal Processing & Communications Group, Dept. of Engineering University of Cambridge,

Source URL: www-sigproc.eng.cam.ac.uk

Preconditioning and iterative solution of symmetric indefinite linear systems arising from interior point methods for linear programming Joo-Siong Chai ∗and Kim-Chuan Toh

Source URL: www.math.nus.edu.sg

Iterative Methods in Combinatorial Optimization Lap Chi Lau The Chinese University of Hong Kong R. Ravi

Source URL: research.microsoft.com

Problem Set 5: Iterative methods with generalized least squares GEOS 627: Inverse Problems and Parameter Estimation, Carl Tape Assigned: February 16, 2015 — Due: March 2, 2015 Last compiled: March 26, 2015 Overview an

Source URL: www.giseis.alaska.edu

I will discuss recent work on randomized algorithms for low-rank approximation and principal component analysis (PCA). The talk will focus on efforts that move beyond the extremely fast, but relatively crude approximatio

Source URL: mmds-data.org

• Algebra
• Mathematics
• Multivariate statistics
• Numerical analysis
• Numerical linear algebra
• Iterative methods
• Dimension reduction
• Principal component analysis
• Singular value decomposition
• Stochastic optimization
• Nonlinear dimensionality reduction
• Sparse dictionary learning

I will discuss recent work on randomized algorithms for low-rank approximation and principal component analysis (PCA). The talk will focus on efforts that move beyond the extremely fast, but relatively crude approximatio

Source URL: mmds-data.org

• Algebra
• Mathematics
• Multivariate statistics
• Numerical analysis
• Dimension reduction
• Iterative methods
• Numerical linear algebra
• Principal component analysis
• Singular value decomposition
• Stochastic optimization
• Algorithm
• Sparse dictionary learning

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Nonsymmetric preconditioning for conjugate gradient and steepest descent methods Bouwmeester, H.; Dougherty, A.; Knyazev, A.

Source URL: www.merl.com

• Numerical analysis
• Numerical linear algebra
• LOBPCG
• Preconditioner
• Multigrid method
• Conjugate gradient method
• Hypre
• Lis
• Symmetric successive overrelaxation
• Iterative method
• Gradient descent
• Relaxation

Optimization in Image Processing Workshop Program Monday, June 27 9:30-10:20 Joachim Weickert, Saarland University Title: “FSI Schemes: Fast Semi-Iterative Methods for Diffusive or Variational Image

Source URL: cmsa.fas.harvard.edu

• Image processing
• Signal processing
• Mathematical optimization
• Operations research
• Electrical engineering
• Convex analysis
• Mathematics
• Mathematical analysis
• Deconvolution
• Iterative reconstruction
• Convex optimization
• Inverse problem

Efficiency of general Krylov methods on GPUs – An experimental study Hartwig Anzt, Jack Dongarra University of Tennessee Knoxville, TN, USA {hanzt,dongarra}@icl.utk.edu

Source URL: icl.cs.utk.edu

• Numerical linear algebra
• Krylov subspace
• Generalized minimal residual method
• Iterative method
• Biconjugate gradient stabilized method
• Preconditioner
• Matrix
• Lis
• Sparse matrix
• Conjugate gradient method
• IML++
• Arnoldi iteration