• IMFIL

  • Referenced in 44 articles [sw04814]
  • Implicit filtering is a way to solve bound-constrained optimization problems for which derivative information ... reconstruct the function and its higher derivatives, implicit filtering builds upon coordinate search and then ... approximation of the gradient. Implicit Filtering describes the algorithm, its convergence theory ... only book in the area of derivative-free or sampling methods to be accompanied...
  • RICPAC

  • Referenced in 64 articles [sw15253]
  • applications. This general form is derived from control and filtering problems for systems in generalized...
  • KELLEY

  • Referenced in 631 articles [sw04829]
  • first order, and sometimes also second order derivatives of the objective function. The first part ... optimization algorithms. Chapter 7 introduces implicit filtering, a technique due to the author...
  • NodeXL

  • Referenced in 7 articles [sw04183]
  • Interactive network exploration to derive insights: filtering, clustering, grouping, and simplification The growing importance ... increased attention on interactive exploration to derive insights and support personal, business, legal, scientific ... often complex and cluttered, strategies for effective filtering, clustering, grouping, and simplification are helpful...
  • MOIF

  • Referenced in 8 articles [sw36989]
  • Free Library - MOIF: An implicit filtering algorithm for derivative-free multiobjective optimization with box constraints ... concerned with the definition of new derivative-free methods for box constrained multiobjective optimization ... trivial extension of the well-known implicit filtering algorithm to the multiobjective case. Global convergence...
  • FDL3DI

  • Referenced in 54 articles [sw24948]
  • first derivative operator. However, formulas are also derived for use in a mid-point interpolation ... numerical stability, up to tenth-order filtering schemes are developed. The spectral properties...
  • OPTIMA

  • Referenced in 14 articles [sw25286]
  • line search approaches, filter methods and the computation of derivatives. The presented optimization approaches...
  • EigenRank

  • Referenced in 15 articles [sw33329]
  • filtering approach that addresses the item ranking problem directly by modeling user preferences derived from ... rating values and propose new collaborative filtering algorithms for ranking items based on the preferences...
  • Eigentaste

  • Referenced in 63 articles [sw12451]
  • collaborative filtering algorithm. Eigentaste is a collaborative filtering algorithm that uses universal queries to elicit ... uniform and normal distribution models to derive analytic estimates of NMAE when predictions are random...
  • SDLfilter

  • Referenced in 1 article [sw27369]
  • package SDLfilter: Filtering Satellite-Derived Locations. Functions to filter GPS and/or Argos locations. The provided...
  • Aligator

  • Referenced in 10 articles [sw00029]
  • system of recurrence equations, solving recurrences and deriving closed forms of loop variables, computing ... polynomial invariants by variable elimination, invariant filtering and completeness check of the resulting...
  • AdvancedNoise

  • Referenced in 1 article [sw41325]
  • irregularities, we explain how to derive the required filters, implement them in the open-source...
  • LETRIST

  • Referenced in 0 articles [sw39964]
  • extremum responses of directional Gaussian derivative filters in scale space. Established on the basis...
  • FEBPNN

  • Referenced in 2 articles [sw08805]
  • considered. The filtered-error BP NN (FEBPNN) algorithm is first derived, and the difference between...
  • DAFI

  • Referenced in 3 articles [sw34061]
  • with ensemble Kalman filters, a family of ensemble-based, derivative-free, Bayesian methods. This Bayesian...
  • HairRemoval

  • Referenced in 1 article [sw14037]
  • mask by combining morphological filters and medial descriptors. We derive robust parameter values...
  • blockSQP

  • Referenced in 3 articles [sw31780]
  • must be supplied by the user. Second derivatives are approximated by a combination ... updates. Global convergence is promoted by the filter line search of Waechter and Biegler that...
  • beadarrayFilter

  • Referenced in 1 article [sw27896]
  • filtering model of Forcheh et al., (2012) which is used to derive the intra-cluster...
  • jHoles

  • Referenced in 7 articles [sw15020]
  • lack of an efficient implementation of the filtering process for clique weight rank homology ... tumor presence. The biological network has been derived from the proliferative, differentiated and stratum corneum...