• # COMPleib

• Referenced in 59 articles [sw06359]
• SDPs), nonlinear semidefinite programs (NSDPs), minimizing spectral functions, Lyapunov/Riccati equations, control system design and related...
• # SCALCG

• Referenced in 108 articles [sw08453]
• spectral gradient or in an anticipative manner by means of a formula using the function ... shown that, for strongly convex functions, the algorithm is global convergent. Preliminary computational results ... scaled conjugate gradient algorithm substantially outperforms the spectral conjugate gradient SCG algorithm...
• # SPGL1

• Referenced in 196 articles [sw08365]
• complex domain. At each iteration, a spectral gradient-projection method approximately minimizes a least-squares ... primal-dual solution of this problem gives function and derivative information needed for the root...
• # Algorithm 840

• Referenced in 26 articles [sw04463]
• derivatives for spectral element methods using prolate spheroidal wave functions -- prolate elements High order domain ... basis of Legendre polynomials, known variously as “spectral elements” or “$p$-type finite elements”, have ... replacing Legendre polynomials by prolate spheroidal wave functions of zeroth order. In this article...
• # ftnonpar

• Referenced in 67 articles [sw11128]
• Nonparametric Regression. The package contains R-functions to perform the methods in nonparametric regression ... Kovac, A. (2004) Densities, Spectral Densities and Modality Annals of Statistics. Annals of Statistics ... p1093-1136 Kovac, A. (2006) Smooth functions and local extreme values. Computational Statistics and Data...
• # SPG

• Referenced in 76 articles [sw00897]
• classical projected gradient method with the spectral gradient choice of steplength and a nonmonotone line ... search strategy. The user provides objective function and gradient values, and projections onto the feasible...
• # SVMlight

• Referenced in 264 articles [sw04076]
• 2002c]. The goal is to learn a function from preference examples, so that it orders ... version of k-Nearest Neighbor is the Spectral Graph Transducer. SVMlight can also train SVMs...
• # BB

• Referenced in 40 articles [sw08074]
• spectral methods for solving nonlinear system of equations, and for optimizing nonlinear objective functions subject...
• # spate

• Referenced in 6 articles [sw12265]
• Large Data Using a Spectral SPDE Approach. This package provides functionality for spatio-temporal modeling ... SPDE). The SPDE is solved in the spectral space, and after discretizing in time ... sampling from the full conditional of the spectral coefficients, or equivalently, the latent space-time ... using a spatio-temporal covariance function, the spectral SPDE approach is computationally advantageous. This package...
• # ALEA

• Referenced in 55 articles [sw10167]
• ALEA - a python framework for spectral methods and low-rank approximations in uncertainty quantification. ALEA ... areas are work in progress. The provided functionality will be extended gradually and demonstrated...
• # BayesSpec

• Referenced in 14 articles [sw38471]
• methods for spectral analysis using the Bayesian framework. It includes functions for modelling spectrum ... predominantly from the 2012 paper ”AdaptSPEC: Adaptive Spectral Estimation for Nonstationary Time Series...
• # FIFA

• Referenced in 4 articles [sw02591]
• techniques: interpolation of Green’s function both in the spectral domain and spatial domain ... structure and the type of Green’s functions to be calculated, and moreover, no need ... wave poles from the spectral form of the Green’s function. Numerical results are given...
• # SimTet

• Referenced in 1 article [sw07156]
• Brillouin zone integration of spectral functions A package of FORTRAN subroutines is provided ... Green’s functions (GF) and spectral functions. The relevant weighting factors at sampling points...
• # ClusterES

• Referenced in 7 articles [sw18311]
• spectral scheme for Kohn-Sham density functional theory of clusters. Starting from the observation that ... systems - the plane-wave method - is a spectral method based on eigenfunction expansion, we formulate ... spectral method designed towards solving the Kohn-Sham equations for clusters. This allows for efficient ... need for any artificial periodicity. The basis functions in this method form a complete orthonormal...