• SCALCG

  • Referenced in 102 articles [sw08453]
  • SCALCG – Scaled conjugate gradient algorithms for unconstrained optimization. In this work we present and analyze ... inexact Wolfe line search conditions. The best spectral conjugate gradient algorithm SCG by Birgin ... parameter scaling the gradient is selected as spectral gradient or in an anticipative manner ... optimization test problems, show that this new scaled conjugate gradient algorithm substantially outperforms the spectral...
  • SVMlight

  • Referenced in 261 articles [sw04076]
  • algorithm proceeds by solving a sequence of optimization problems lower-bounding the solution using ... version of k-Nearest Neighbor is the Spectral Graph Transducer. SVMlight can also train SVMs...
  • SPG

  • Referenced in 74 articles [sw00897]
  • constrained optimization problems. It combines the classical projected gradient method with the spectral gradient choice...
  • BB

  • Referenced in 34 articles [sw08074]
  • Solving and Optimizing Large-Scale Nonlinear Systems. Barzilai-Borwein spectral methods for solving nonlinear system...
  • SPGL1

  • Referenced in 173 articles [sw08365]
  • gives an explicit relationship to two other optimization problems closely related to BPDN. We describe ... complex domain. At each iteration, a spectral gradient-projection method approximately minimizes a least-squares...
  • SymNMF

  • Referenced in 11 articles [sw12668]
  • shortcomings of SymNMF and spectral clustering. We propose two optimization algorithms for SymNMF and discuss...
  • Wirtinger Flow

  • Referenced in 81 articles [sw34175]
  • careful initialization obtained by means of a spectral method, and then refines this initial estimate ... insights for the analysis of non-convex optimization schemes that may have implications for computational...
  • GRAPH

  • Referenced in 23 articles [sw19079]
  • present article surveys 92 papers, mostly in spectral graph theory, which results were obtained with ... properties with their complements. Miscellaneous results. Combinatorial optimization...
  • ROCKET

  • Referenced in 11 articles [sw30016]
  • Gaussian model. Hence, it is an optimal estimator under a much larger family of distributions ... tight control of the sparse spectral norm of the nonparametric Kendall’s tau estimator...
  • BLOOMP

  • Referenced in 25 articles [sw06454]
  • BLOT and Lasso-BLOT with the optimized regularization parameter have the best performance ... dynamic range. Detailed comparisons with the algorithms spectral iterative hard thresholding and the frame-adapted...
  • SpectralCAT

  • Referenced in 8 articles [sw18794]
  • SpectralCAT: Categorical spectral clustering of numerical and nominal data. Data clustering is a common technique ... values. This is done by discovering the optimal transformation according to the Calinski–Harabasz index ... dataset. Then, a method for spectral clustering via dimensionality reduction of the transformed data...
  • AlgRemez

  • Referenced in 4 articles [sw23218]
  • calculates optimal rational (and polynomial) approximations to the nth root over a given spectral range...
  • SIRF

  • Referenced in 4 articles [sw27454]
  • fusion is formulated as a convex optimization problem which minimizes a linear combination ... regularizer. The former is to preserve accurate spectral information of the Ms image, while ... algorithm is then devised to solve the optimization problem, accomplishing a linear computational complexity ... others in terms of both spatial and spectral qualities. We also show that our method...
  • k-Wave

  • Referenced in 24 articles [sw07387]
  • based on a k-space pseudo-spectral time domain solution to coupled first-order acoustic ... finite-sized planar measurement surfaces. Last, the optimization of computational speed is demonstrated through parallel...
  • LS-SVMlab

  • Referenced in 26 articles [sw07367]
  • minimization. In the methods one solves convex optimization problems, typically quadratic programs. Least Squares Support ... kernel PLS. Recent developments are in kernel spectral clustering, data visualization and dimensionality reduction...
  • ChASE

  • Referenced in 2 articles [sw30514]
  • spectral estimates that enter in the filter and an optimization of the polynomial degree that ... ChASE greatly benefits from the sequence’s spectral properties and outperforms direct solvers in many...
  • ASH

  • Referenced in 6 articles [sw06728]
  • used to ensure data locality in spectral transforms, a sophisticated load balancing algorithm is implemented ... workload for large problems, are highly optimized by exploiting the features of cache memory...
  • Xplor-NIH

  • Referenced in 4 articles [sw30616]
  • potential energy terms and new optimization methods. Support for these scripting languages also facilitates interaction ... structure analysis, structure manipulation, visualization, and spectral analysis...
  • PEGASUS

  • Referenced in 8 articles [sw17479]
  • MapReduce. Many graph mining operations (PageRank, spectral clustering, diameter estimation, connected components etc.) are essentially ... Matrix-Vector multiplication). GIM-V is highly optimized, achieving (a) good scale...
  • SingularIntegralEquations

  • Referenced in 8 articles [sw22771]
  • singular integral equations. We develop a spectral method for solving univariate singular integral equations over ... bandwidth and n is the optimal number of unknowns needed to resolve the true solution ... Helmholtz and gravity Helmholtz equations, including spectrally accurate numerical evaluation of the far- and near...