
KELLEY
 Referenced in 497 articles
[sw04829]
 optimization algorithms. Chapter 7 introduces implicit filtering, a technique due to the author ... group. Implicit filtering methods use finite difference approximations of the gradient, which are adjusted...

eigs
 Referenced in 273 articles
[sw03702]
 iteration, the author applies a polynomial filter to the Arnoldi (Lanczos) vector on each iteration...

EnKF
 Referenced in 170 articles
[sw02066]
 EnKFThe Ensemble Kalman Filter The EnKF is a sophisticated sequental data assimilation method ... Meteorological Centers. See the article ”Ensemble Kalman Filters Bring Weather Models Up to Date...

IRAM
 Referenced in 138 articles
[sw08795]
 Implicit application of polynomial filters in a kstep Arnoldi method. The author describes ... iteration, the author applies a polynomial filter to the Arnoldi (Lanczos) vector on each iteration...

Scilab
 Referenced in 113 articles
[sw00834]
 system study Signal Processing: Visualize, analyze and filter signals in time and frequency domains. Application...

ipfilter
 Referenced in 55 articles
[sw04778]
 globally convergent primaldual interiorpoint filter method for nonlinear programming The paper proposes ... algorithm which uses the filter technique of Fletcher and Leyffer to globalize the primaldual ... region type parameter. Each entry in the filter is a pair of coordinates: one resulting...

Steerable pyramid
 Referenced in 63 articles
[sw14908]
 makes sense to completely reconsider the filter design problem (as opposed to just reusing ... orthogonal wavelet filters in a redundant representation, as is done in cyclespinning or undecimated...

Tyrolean
 Referenced in 65 articles
[sw07830]
 termination techniques include: approximated dependency graph, argument filtering, bounds, dependency pair method, KnuthBendix order...

Eigentaste
 Referenced in 42 articles
[sw12451]
 Eigentaste: A constant time collaborative filtering algorithm. Eigentaste is a collaborative filtering algorithm that uses...

TetGen
 Referenced in 53 articles
[sw04046]
 combination of flips and edge removal), and filtered exact geometric predicates. The essential algorithms include...

filterSQP
 Referenced in 51 articles
[sw04725]
 Sequential Quadratic Programming solver with a “filter” to promote global convergence. The solver runs with...

AS 154
 Referenced in 50 articles
[sw14113]
 moving average models by means of Kalman filtering...

FastSLAM
 Referenced in 49 articles
[sw13538]
 landmarks present in real environments. Kalman filterbased algorithms, for example, require time quadratic...

RICPAC
 Referenced in 47 articles
[sw15253]
 general form is derived from control and filtering problems for systems in generalized (or implicit...

SsfPack
 Referenced in 43 articles
[sw09502]
 space form. Basic functions are available for filtering, moment smoothing and simulation smoothing. Ready...

IMFIL
 Referenced in 18 articles
[sw04814]
 Implicit filtering is a way to solve boundconstrained optimization problems for which derivative information ... function and its higher derivatives, implicit filtering builds upon coordinate search and then interpolates ... approximation of the gradient. Implicit Filtering describes the algorithm, its convergence theory...

HumanEva
 Referenced in 18 articles
[sw15489]
 Sequential Importance Resampling and Annealed Particle Filtering. In the context of this baseline algorithm ... laboratory environment, where initialization is available, Bayesian filtering tends to perform well. The datasets...

rastamat
 Referenced in 23 articles
[sw12356]
 separate technique that applies a bandpass filter to the energy in each frequency subband...

Algorithm 735
 Referenced in 15 articles
[sw04403]
 power of 2. Alternative marix and vectorfilter implementations of alternative truncated, circulant, and extended ... versions are discussed. Matrix and vectorfilter implementations yield identical results and enhance, respectively, didactic...

dlm
 Referenced in 11 articles
[sw04503]
 Dynamic Linear Models Maximum likelihood, Kalman filtering and smoothing, and Bayesian analysis of Normal linear ... models and state space models, the Kalman filter for estimation and forecasting in dynamic linear ... dynamic linear models, state estimation and forecasting, filtering and the Kalman filter, and some specialized...