• CoSyma

  • Referenced in 12 articles [sw20124]
  • parameters used to define an approximation of the state-space on which discrete abstractions...
  • SuSpect

  • Referenced in 25 articles [sw00933]
  • parameter space with several possible options and choices for model assumptions and approximations...
  • SPQR_RANK

  • Referenced in 3 articles [sw10036]
  • calculate orthonormal bases for numerical null spaces, approximate pseudoinverse solutions to least squares problems involving ... matrices with either small or large null space dimensions...
  • CompHep

  • Referenced in 41 articles [sw06473]
  • diagrams and integration over multi-particle phase space. CompHEP is a package for automatic calculations ... lowest order of perturbation theory (the tree approximation). The main idea prescribed into the CompHEP...
  • ANN

  • Referenced in 46 articles [sw09854]
  • structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions ... data points in d-dimensional space is given. These points are preprocessed into a data...
  • SFA

  • Referenced in 7 articles [sw32513]
  • symbolic fourier approximation and index for similarity search in high dimensional datasets. Time series analysis ... exponential growth of the search space, referred to as Curse of Dimensionality. A common approach ... postpone this ef- fect is to apply approximation to reduce the dimensionality of the original ... growth of the search space. Therefore, index- ing an approximation with a high dimensionality...
  • lobpcg.m

  • Referenced in 146 articles [sw24008]
  • eigenvector as an element of the null-space of the corresponding homogeneous system of linear ... show numerically that the LOBPCG method provides approximations to first eigenpairs of about the same...
  • FastDTW

  • Referenced in 16 articles [sw22574]
  • time and space. fastdtw: Python implementation of FastDTW [1], which is an approximate Dynamic Time ... dynamic time warping in linear time and space.” Intelligent Data Analysis...
  • ABC-SubSim

  • Referenced in 14 articles [sw10099]
  • increasingly closer approximations of the actual data vector in observation space. The efficiency...
  • TIGRA

  • Referenced in 40 articles [sw02333]
  • descent iterations in an inner loop for approximating the Tikhonov regularized solutions with a fixed ... convergence rate results works in a Hilbert space setting whenever the nonlinear forward operator...
  • acebayes

  • Referenced in 12 articles [sw20243]
  • Bayesian Optimal Design of Experiments via Approximate Coordinate Exchange. We describe and demonstrate ... design space may be high-dimensional. The package implements the approximate coordinate exchange (ACE) algorithm...
  • QGDFoam

  • Referenced in 5 articles [sw24943]
  • volume and finite-difference approximation is constructed on unstructured space grids with co-located variables...
  • tpsSmall

  • Referenced in 1 article [sw18413]
  • small enough so that tangent space approximations can be used (almost always true...
  • regionally-implicit-dg

  • Referenced in 1 article [sw34688]
  • highest degree in the DG polynomial approximation space and becomes progressively smaller with each added...
  • ECHO

  • Referenced in 29 articles [sw22269]
  • different algorithms, and working in a generic space-time metric, so that ECHO ... methods are implemented and a two-wave approximate Riemann solver is used. The induction equation...
  • Nonconvex Pareto Navigator

  • Referenced in 3 articles [sw31871]
  • multiobjective optimization method operating in the objective space called Nonconvex Pareto Navigator. It extends ... problems. An approximation of the Pareto optimal front in the objective space is first generated ... approximation and direct the search for interesting regions in the objective space. In this ... expensive problems, because the navigation on the approximation is computationally inexpensive. We demonstrate the method...
  • AnnexML

  • Referenced in 5 articles [sw30153]
  • AnnexML: Approximate Nearest Neighbor Search for Extreme Multi-label Classification. Extreme multi-label classification methods ... embedding space. The prediction is efficiently performed by using an approximate nearest neighbor search method ... nearest neighbor graph in the embedding space. We conducted evaluations on several large-scale real...
  • StaRMAP

  • Referenced in 17 articles [sw16411]
  • with ten million degrees of freedom in space, angle, and time within a few seconds ... scheme, called StaRMAP (Staggered grid Radiation Moment Approximation), along with files for all presented test...
  • PyPFASST

  • Referenced in 1 article [sw20697]
  • PyPFASST: Parallel Full Approximation Scheme in Space and Time. PyPFASST is a Python implementation ... PFASST algorithm. The Parallel Full Approximation Scheme in Space and Time (PFASST) algorithm...
  • FRSDE

  • Referenced in 15 articles [sw08762]
  • density estimator using minimal enclosing ball approximation. Reduced Set Density Estimator (RSDE) is an important ... less than O(N 2 )) and space complexity (O(N 2 )) in training the model ... finding, the fast core-set based MEB approximation algorithm is introduced to develop the proposed ... upper bound of the space complexity is independent of N. Our experimental results show that...