• # TAMC

• Referenced in 68 articles [sw07198]
• data assimilation, model tuning, sensitivity analysis, and determination of singular vectors. The adjoint model computes...
• # HomCont

• Referenced in 187 articles [sw14927]
• numerical toolbox for homoclinic bifurcation analysis. It is designed for use with AUTO written ... including the detection of many codimension-two singularities and the continuation of these singularities...

• Referenced in 1 article [sw20105]
• Rssa: A Collection of Methods for Singular Spectrum Analysis. Multivariate and 2D Extensions of Singular ... multivariate and 2D extensions of Singular Spectrum Analysis (SSA) by means of the R-package...
• # Isolde

• Referenced in 26 articles [sw00458]
• this demonstration, we focus on the local analysis of systems of linear differential and difference ... matrix solution at a regular or irregular singularity...
• # BEMECH

• Referenced in 62 articles [sw10847]
• three-dimensional nonlinear stress analysis. In addition, the authors develop a state ... description of methods for evaluating singularities and solving nonlinear systems of equations; e) the description...
• # MIBPB

• Referenced in 33 articles [sw08106]
• software package, the MIBPB solver, for electrostatic analysis. The MIBPB has a unique feature that ... molecular surfaces, which may possess troublesome geometrical singularities, the MIB scheme makes the MIBPB ... function approach to analytically resolve the singular charge distribution in biomolecules in order to obtain ... protein–solvent solvation energy calculations and analysis of salt effects on protein–protein binding energies...
• # SlideCont

• Referenced in 35 articles [sw00877]
• SLIDECONT, an AUTO97 driver for sliding bifurcation analysis of discontinuous piecewise-smooth autonomous systems, known ... well as detection of some codimension $-2$ singularities, with special attention to planar systems...
• # ExPosition

• Referenced in 1 article [sw22023]
• package ExPosition: Exploratory analysis with the singular value decomposition. ExPosition is for descriptive (i.e., fixed ... effects) multivariate analysis with the singular value decomposition...
• # Singularity

• Referenced in 3 articles [sw20306]
• version of our developed Maple library, named Singularity. The first version here is designed ... extended for symbolic bifurcation analysis and control of different singularities including autonomous differential singular systems...
• # impute

• Referenced in 60 articles [sw14376]
• values. Unfortunately, many algorithms for gene expression analysis require a complete matrix of gene array ... implemented and evaluated three methods: a Singular Value Decomposition (SVD) based method (SVDimpute), weighted...
• # irlba

• Referenced in 1 article [sw21041]
• package irlba: Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense ... efficient methods for truncated singular value decomposition and principal components analysis of large sparse...
• # Gephi

• Referenced in 14 articles [sw12110]
• make hypothesis, intuitively discover patterns, isolate structure singularities or faults during data sourcing ... This is a software for Exploratory Data Analysis, a paradigm appeared in the Visual Analytics...
• # SAM II

• Referenced in 3 articles [sw14062]
• sensitivity analysis for any multivariate methods formulated as eigenvalue problems by using generalized singular value ... three steps; (1) pre-processing, (2) original analysis and (3) sensitivity analysis. By this revision...
• # Multilinear Engine

• Referenced in 24 articles [sw14430]
• component analysis and three-way PARAFAC factor analysis are examples of bilinear and trilinear least ... solution may be determined by inspecting the singular values of the Jacobian matrix. A global...
• # lsa

• Referenced in 2 articles [sw19469]
• Analysis. The basic idea of latent semantic analysis (LSA) is, that text do have ... truncated singular value decomposition (a two-mode factor analysis) over a given document-term matrix...
• # rsvd

• Referenced in 1 article [sw16104]
• compute the near optimal low-rank singular value decomposition of massive data sets with high ... plays a central role in data analysis and scientific computing. SVD is also widely used ... analysis (PCA), a linear dimensionality reduction technique. Randomized PCA (rpca) uses the approximated singular value ... function to compute (randomized) robust principal component analysis (RPCA). In addition several plot functions...
• # AggDef2

• Referenced in 3 articles [sw10244]
• with shifts (dqds) algorithm computes all the singular values of an n×n bidiagonal matrix ... dqds runtime significantly. In addition, our theoretical analysis suggests that with aggressive early deflation ... analysis to prove that with our proposed deflation strategy, dqds computes all the singular values...