• TuckerMPI

  • Referenced in 3 articles [sw27856]
  • order analogue to the truncated singular value decomposition of a matrix. The result ... original tensor-structured data. Compression efficiency is achieved by detecting latent global structure within ... contrast to most compression methods that are focused on local structure. In this work ... TuckerMPI, our implementation of the truncated Tucker decomposition, including details of the data distribution...
  • SDPBS

  • Referenced in 7 articles [sw17208]
  • finite difference, solution decomposition, domain decomposition, and multigrid methods. To make SDPBS more accessible ... clients to visualize and manipulate the molecular structure of a biomolecule, and to calculate...
  • EVPI

  • Referenced in 20 articles [sw02644]
  • simplex and interior-point methods and nested Benders decomposition, which decomposes the original problem into ... technique to parallelize nodal subproblem solutions. Differing structures of the test problems cause differing levels...
  • COSMO

  • Referenced in 7 articles [sw40080]
  • iteration computational cost makes the method particularly efficient for large problems, e.g. semidefinite programs that ... decomposition techniques and a new clique merging algorithm to effectively exploit sparsity in large, structured...
  • Colibri

  • Referenced in 9 articles [sw12043]
  • desirable to track the low-rank structure as the graph evolves over time, efficiently ... usually very sparse. However, standard decompositions such as SVD do not preserve sparsity. This ... development of methods such as CUR and CMD, which seek a non-orthogonal basis...
  • ANOVAapprox

  • Referenced in 4 articles [sw40667]
  • dimensional structures using polynomial bases. In this paper we propose a method for the approximation ... variance (ANOVA) decomposition. For functions with a low-dimensional structure, i.e., a low superposition dimension...
  • curvclust

  • Referenced in 6 articles [sw07435]
  • peak-like data. Our method is based on a wavelet decomposition of the signal ... multiple curves and using an appropriate structure for the random effect variance, we ensure that ... extensive simulation study. Then, we illustrate our method on mass spectrometry data and we propose...
  • SOFAR

  • Referenced in 7 articles [sw31665]
  • large-scale response-predictor association network structures via layers of sparse latent factors ranked ... method of sparse orthogonal factor regression (SOFAR) via the sparse singular value decomposition with orthogonality...
  • MTS

  • Referenced in 7 articles [sw15485]
  • identifiability of VARMA models. The methods used for structural specification include Kronecker indices and Scalar ... multivariate exponentially weighted moving-average volatility, Cholesky decomposition volatility models, dynamic conditional correlation (DCC) models...
  • ERA-DD

  • Referenced in 1 article [sw06411]
  • both graphically and numerically. A special quasi-structured grid is constructed in order to solve ... decomposition method without overlapping subdomains. We propose an algorithm for constructing the quasi-structured grid...
  • TINTIN

  • Referenced in 5 articles [sw36100]
  • empirical results have demonstrated that heuristic method based table extraction and component tagging ... system have strongly indicated that such structural decomposition can facilitate better representation of user...
  • ISUD

  • Referenced in 13 articles [sw34491]
  • 1970s, several authors have studied the structure of the set partitioning polytope and proposed adaptations ... referred to as the integral simplex using decomposition algorithm uses a subproblem to find ... Padberg results by introducing a constructive method that finds this sequence by only using normal...
  • gridlod

  • Referenced in 4 articles [sw34719]
  • correctors used in the localized orthogonal decomposition (LOD) method for numerical homogenization. The code works ... hypercube [0,1]^d on a structured grid as coarse mesh, and another structured grid...
  • PSurface

  • Referenced in 2 articles [sw19556]
  • mappings are stored in a graph data structure and can be constructed explicitly, by projection ... grids, and grid intersections for domain decomposition methods. In computer graphics the mappings allow ... bump maps. We document the data structures and algorithms used and show how PSurface...
  • HP-FASS

  • Referenced in 2 articles [sw09124]
  • fast multipole method using a hybrid domain decomposition is presented. In addition, relying ... tree structures, a technique to select the group size that minimizes the execution time...
  • MENUS-PGG

  • Referenced in 3 articles [sw02138]
  • developing parallel algorithms that generate structured and unstructured static and adaptive grids (or meshes) required ... equation (PDE) solvers based on domain decomposition methods. Whereas the first generation PSEs ... efficient maintenance of the distributed data structures that support h, p, and hp- refinements...
  • PICKY

  • Referenced in 4 articles [sw35293]
  • novel SVD-based NMR spectra peak picking method. Motivation: Picking peaks from experimental NMR spectra ... unsolved problem for automated NMR protein structure determination. Such a process is a prerequisite ... overhauser enhancement (NOE) distance restraint assignment, and structure calculation tasks. Manual or semi-automatic peak ... component forming and sub-division, singular value decomposition (SVD)-based peak picking and peak pruning...
  • PASTIS-3D

  • Referenced in 3 articles [sw02168]
  • data parallel variant of the conjugate gradient method and runs efficiently on parallel systems such ... parallel data structure is familiar from domain decomposition. But, we use a parallel implementation...
  • DCT-III

  • Referenced in 5 articles [sw03009]
  • combining the polynomial transform and radix-q decomposition, the paper presents a new algorithm ... times that needed by the row-column method while the number of additions increase slightly ... proposed algorithm has a simple computational structure because it needs only...
  • MSBVAR

  • Referenced in 3 articles [sw04504]
  • reduced form and structural VAR models are also available. Includes methods for the generating posterior ... likelihood-based error bands), and forecast error decompositions. Also includes utility functions for plotting forecasts...