
KELLEY
 Referenced in 631 articles
[sw04829]
 chapters conclude with a demonstration of the methods discussed in the respective chapter using ... optimization algorithms. Chapter 7 introduces implicit filtering, a technique ... author and his group. Implicit filtering methods use finite difference approximations of the gradient, which...

IRAM
 Referenced in 203 articles
[sw08795]
 Implicit application of polynomial filters in a kstep Arnoldi method. The author describes ... square matrix (which reduces to the Lanczos method in the symmetric case). Using a truncated ... filter to the Arnoldi (Lanczos) vector on each iteration. This approach generalizes explicit restart methods...

EnKF
 Referenced in 408 articles
[sw02066]
 Ensemble Kalman Filter The EnKF is a sophisticated sequental data assimilation method. It applies ... Meteorological Centers. See the article ”Ensemble Kalman Filters Bring Weather Models Up to Date...

ipfilter
 Referenced in 72 articles
[sw04778]
 globally convergent primaldual interiorpoint filter method for nonlinear programming The paper proposes ... filter technique of Fletcher and Leyffer to globalize the primaldual interiorpoint method ... region type parameter. Each entry in the filter is a pair of coordinates: one resulting...

top88.m
 Referenced in 77 articles
[sw22631]
 based and blackandwhite projection filtering methods. The complete 88 line code is included...

eigs
 Referenced in 323 articles
[sw03702]
 square matrix (which reduces to the Lanczos method in the symmetric case). Using a truncated ... filter to the Arnoldi (Lanczos) vector on each iteration. This approach generalizes explicit restart methods...

Tyrolean
 Referenced in 89 articles
[sw07830]
 include: approximated dependency graph, argument filtering, bounds, dependency pair method, KnuthBendix order, lexicographic path...

STAMP
 Referenced in 43 articles
[sw09536]
 carried out using state space methods and Kalman filtering. However, STAMP...

OPTIMA
 Referenced in 14 articles
[sw25286]
 several topics as line search approaches, filter methods and the computation of derivatives. The presented...

mlr
 Referenced in 31 articles
[sw12357]
 single and multiobjective problems. Filter and wrapper methods for feature selection. Extension of basic...

CheFSI
 Referenced in 13 articles
[sw22461]
 Chebyshevfiltered subspace iteration method free of sparse diagonalization for solving the KohnSham equation ... part in DFT calculations. Sparse iterative diagonalization methods that compute explicit eigenvectors can quickly become ... large scale problems. The Chebyshevfiltered subspace iteration (CheFSI) method avoids most of the explicit ... initial filtering step to avoid completely this diagonalization, thus making the CheFSI method free...

PDENet
 Referenced in 63 articles
[sw36963]
 convolution kernels (filters), and apply neural networks or other machine learning methods to approximate ... proposed PDENet is that all filters are properly constrained, which enables us to easily...

IMFIL
 Referenced in 44 articles
[sw04814]
 Implicit filtering is a way to solve boundconstrained optimization problems for which derivative information ... methods that use interpolation to reconstruct the function and its higher derivatives, implicit filtering builds ... approximation of the gradient. Implicit Filtering describes the algorithm, its convergence theory ... area of derivativefree or sampling methods to be accompanied by publicly available software...

FOC
 Referenced in 16 articles
[sw07537]
 presented tuning, autotuning and selftuning methods ... described the IIR and FIR filters forms of approximation methods, which can be easily implemented...

dlm
 Referenced in 30 articles
[sw04503]
 models and state space models, the Kalman filter for estimation and forecasting in dynamic linear ... univariate and multivariate data. The main methods and models are illustrated with examples based ... reminded, and Markov chain Monte Carlo methods are presented. Chapter 2 is on dynamic linear ... dynamic linear models, state estimation and forecasting, filtering and the Kalman filter, and some specialized...

LibBi
 Referenced in 14 articles
[sw19384]
 sequential Monte Carlo (SMC) methods such as the particle filter for state estimation ... chain Monte Carlo (PMCMC) and SMC^2 methods for parameter estimation. All are wellsuited...

TetGen
 Referenced in 179 articles
[sw04046]
 quality tetrahedral meshes aimed to support numerical methods and scientific computing. The problem of quality ... combination of flips and edge removal), and filtered exact geometric predicates. The essential algorithms include...

TOMOBFLOW
 Referenced in 2 articles
[sw18106]
 Beltrami flow, a nonlinear filtering method that locally tunes the strength of the smoothing according ... with the power of diffusionbased filtering methods, with the important advantage that it does ... following article: TOMOBFLOW: Featurepreserving noise filtering for electron tomography. J.J. Fernandez. BMC Bioinformatics...

ThiNet
 Referenced in 5 articles
[sw34568]
 ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression. We propose an efficient ... inference stages. We focus on the filter level pruning ... whole filter would be discarded if it is less important. Our method does not change ... shelf deep learning libraries. We formally establish filter pruning as an optimization problem, and reveal...

Perseus
 Referenced in 26 articles
[sw08778]
 these methods in order to efficiently compute persistent homology of various types of filtered complexes...