Index

A

• algorithms, skimage.feature module
  • FAST corner detection / Corner detection
  • Förstner corner detection / Corner detection
  • Kitchen and Rosenfeld corner measure response / Corner detection
  • Harris corner measure response / Corner detection
  • Moraved corner measure response / Corner detection
  • Kanade-Tomasi corner measure response / Corner detection
• alpha channel
  • about / Alpha channels
• analysis, of time series / Analysis of the time series
• analytic approximation methods
  • about / Analytic approximation methods
• approaches, for attacking inference
  • frequentist / Statistical inference
  • Bayesian / Statistical inference
  • likelihood / Statistical inference
• approximation
  • about / Regression
• approximation problem
  • defining / Motivation
• approximation theory
  • example / Motivation
• ARPACK
  • URL / Motivation
• automatic differentiation
  • about / Differentiation, Automatic differentiation
  • URL, for online resource / Differentiation
• autoregressive Integrated Moving Average model (ARIMA)
  • about / Analysis of the time series
• autoregressive model AR(p) / Analysis of the time series
• autoregressive Moving Average model ARMA(p,q) / Analysis of the time series

B

• back and forward substitution
  • about / Back and forward substitution
• banded matrices
  • about / Basic systems: banded matrices
• bar plots
  • about / Bar plots and pie charts
• basic geometrical objects, geometry module
  • LinearEntity / Plane geometry
  • Ellipse / Plane geometry
  • Polygon / Plane geometry
  • RegularPolygon / Plane geometry
• basic matrix manipulation
  • about / Basic matrix manipulation
  • scalar multiplication / Scalar multiplication, matrix addition, and matrix multiplication
  • matrix addition / Scalar multiplication, matrix addition, and matrix multiplication
  • matrix multiplication / Scalar multiplication, matrix addition, and matrix multiplication
  • traces / Traces and determinants
  • determinants / Traces and determinants
  • transposes / Transposes and inverses
  • inverses / Transposes and inverses
  • condition numbers / Norms and condition numbers
  • norms / Norms and condition numbers
• bean plot
  • about / Describing distributions with numbers and boxplots
• binary image
  • about / Binary
• bivariate interpolation
  • about / Implementation details
• bivariate spline interpolation
  • about / Implementation details
• BLAS
  • URL / Motivation
• blurring / Sharpening and blurring
• Box-Jenkins model
  • about / Analysis of the time series
• broyden method
  • about / The Broyden method
• Bézier curves
  • about / Bézier curves

C

• chain code / Lossless compression
• Cholesky decomposition
  • about / Cholesky decomposition
• CIE-LAB color space
  • about / Color
• CIE-LUB color space
  • about / Color
• Circle / Plane geometry
• classification
  • about / Classification
  • support vector classification / Support vector classification
  • decision tree, creating / Trees
  • Naive Bayes methods / Naive Bayes
  • nearest neighbors / Nearest neighbors
• Clensaw-Curtis method
  • about / Functions without singularities on finite intervals
• clustering
  • about / Clustering
  • MeanShift / MeanShift
  • Gaussian mixture models / Gaussian mixture models
  • Kmeans / Kmeans
  • spectral clustering / Spectral clustering
• color images
  • about / Color
• Combinatorial computational geometry
  • about / Combinatorial computational geometry
  • static problems / Static problems
  • geometric query problems / Geometric query problems
  • dynamic problems / Dynamic problems
• complex generalized Schur decomposition / Schur decomposition
• complex Schur decomposition / Schur decomposition
• Computer Aided Geometric Design (CAGD)
  • about / Numerical computational geometry
• computer algebra system (CAS)
  • about / Differentiation
• condition numbers
  • about / Norms and condition numbers
• conforming Delaunay / Triangulations
• constrained conforming Delaunay triangulation / Triangulations
• constrained Delaunay triangulation / Triangulations
• constrained optimization for multivariate functions
  • about / Constrained optimization for multivariate functions
• constrained optimization for univariate functions
  • about / Constrained optimization for univariate functions
• contrast enhancement
  • about / Contrast enhancement
• contrast limited adaptive histogram equalization (CLAHE) / Histogram equalization
• convex hulls
  • about / Static problems, Convex hulls
• correlation
  • and scatterplots / Scatterplots and correlation
• credible region / Bayesian approach
• Curve
  • about / Plane geometry

D

• database formats, matrix
  • Matrix Market Exchange / Motivation
  • Rutherford-Boeing Exchange / Motivation
  • Proprietary Matlab .mat format / Motivation
• data mining
  • about / Data mining and machine learning
• decision tree
  • creating / Trees
• deflation / Lossless compression
• Delaunay triangulation / Triangulations
• descriptive statistics
  • example / Motivation
• determinants
  • about / Traces and determinants
• differential equations
  • about / Motivation
• differentiation
  • about / Differentiation
  • numerical differentiation / Differentiation, Numerical differentiation
  • symbolic differentiation / Differentiation, Symbolic differentiation
  • automatic differentiation / Differentiation, Automatic differentiation
• digital images
  • about / Digital images
  • binary / Binary
  • gray-scale / Gray-scale
  • high-level operations / High-level operations on digital images
• dimensionality reduction
  • about / Dimensionality reduction
  • principal component analysis (PCA) / Principal component analysis
  • isometric mapping (isomap) / Isometric mappings
  • spectral embedding / Spectral embedding
  • locally linear embedding / Locally linear embedding
• discrete-variable methods
  • about / Discrete-variable methods
  • one-step methods / Discrete-variable methods, One-step methods
  • multistep methods / Discrete-variable methods
  • two-step methods / Two-step methods
• distributions
  • picturing, with graphs / Picturing distributions with graphs
  • describing, with boxplots / Describing distributions with numbers and boxplots
  • describing, with numbers / Describing distributions with numbers and boxplots
• dynamic problems
  • about / Dynamic problems

E

• Elastic Net / Linear regression beyond ordinary least-squares
• ensemble methods
  • about / Ensemble methods
  • averaging methods / Ensemble methods
  • boosting methods / Ensemble methods
• estimation
  • about / Statistical inference
• estimation of parameters, statistical inference
  • about / Estimation of parameters
  • frequentist approach / Frequentist approach
  • Bayesian approach / Bayesian approach
  • likelihood approach / Likelihood approach
• expectation-maximization algorithm (EM)
  • about / Gaussian mixture models

F

• FFTPACK
  • URL / Motivation
• filters
  • smoothing / Smoothing filters
• FITPACK
  • URL / Motivation
• formulas
  • reference link / Motivation
• Fortran coding methodology
  • about / Multivariate interpolation
• Fourier analysis
  • about / Fourier analysis
• Fresnel integrals
  • about / Motivation
• FuncDesigner
  • URL / Differentiation
• functional mode
  • about / Interpolation
• functions, without singularities on finite intervals
  • about / Functions without singularities on finite intervals
• functions, with singularities on bounded domains
  • about / Functions with singularities on bounded domains
  • weighted functions / Weighted functions
  • general functions, with singularities / General functions with singularities

G

• gamma correction
  • about / Contrast enhancement
• Gaussian mixture models
  • about / Gaussian mixture models
• Gaussian noise / Noise reduction
• generic square matrices
  • about / Basic systems: generic square matrices
• generic univariate interpolation / Implementation details
• geographic information systems (GIS)
  • about / Combinatorial computational geometry
• Geometric Modeling
  • about / Numerical computational geometry
• geometric query problems
  • about / Geometric query problems
  • point location / Point location
  • nearest neighbors / Nearest neighbors
  • range searching / Range searching
• geometric transformations
  • about / Geometric transformations
• graphs
  • distributions, picturing with / Picturing distributions with graphs
• Graphviz
  • URL / Trees
• gray-scale image
  • about / Gray-scale

H

• Hermite interpolation
  • about / Hermite interpolation
• Hermitian transpose
  • about / Transposes and inverses
• Hessian matrix / Multivariate calculus
• high-level operations, on digital images
  • about / High-level operations on digital images
  • object measurements / Object measurements
  • Mathematical morphology / Mathematical morphology
  • filters, smoothing / Smoothing filters
  • multivariate calculus / Multivariate calculus
  • statistical filters / Statistical filters
  • Fourier analysis / Fourier analysis
  • wavelet decompositions / Wavelet decompositions
• histogram equalization
  • about / Histogram equalization
• histograms
  • about / Histograms
• Hubble eXtreme Deep Field
  • about / Object measurements
  • reference link / Object measurements
• Hue-Saturation-Value (HSV) color space
  • about / Color
• hypothesis testing
  • about / Statistical inference

I

• image analysis
  • about / Image analysis
  • image structure / Image structure
• image compression
  • about / Image compression
  • lossless compression schemes / Lossless compression
  • lossy compression schemes / Lossy compression
• image editing
  • about / Image editing
• image editing, example
  • transformations, of domain / Transformations of the domain
  • intensity adjustment / Intensity adjustment
  • image restoration / Image restoration
  • inpainting / Inpainting
• image editing, examples
  • about / Image editing
• image restoration
  • about / Image restoration
  • noise reduction / Noise reduction
  • sharpening / Sharpening and blurring
  • blurring / Sharpening and blurring
• image structure
  • about / Image structure
• imgproc module
  • reference link / Inpainting
• Implicitly Restarted Arnoldi method
  • about / Spectral decomposition
• Implicitly Restarted Lanczos method
  • about / Spectral decomposition
• inpainting
  • defining / Inpainting
• Insight Segmentation and Registration Toolkit (ITK)
  • URL / Image structure
• integration
  • about / Integration
  • symbolic integration / Integration, Symbolic integration
  • numerical integration / Integration, Numerical integration
• intensity adjustment
  • about / Intensity adjustment
  • histogram equalization / Histogram equalization
  • intensity clipping/resizing / Intensity clipping/resizing
  • contrast enhancement / Contrast enhancement
• intensity clipping
  • about / Intensity clipping/resizing
• intensity resizing
  • about / Intensity clipping/resizing
• interpolation
  • exploring / Motivation
  • about / Interpolation
  • implementation details / Implementation details
  • univariate interpolation / Univariate interpolation
  • multivariate interpolation / Multivariate interpolation
• interpolation problem
  • requisites / Motivation
• interval / Bayesian approach
• interval estimation
  • about / Statistical inference
• interval estimation, statistical inference
  • frequentist approach / Frequentist approach
  • Bayesian approach / Bayesian approach
  • likelihood approach / Likelihood approach
• inverses
  • about / Transposes and inverses
• isometric mapping (isomap)
  • about / Isometric mappings
• iterative methods, for univariate functions
  • about / Iterative methods for univariate functions
  • bracketing methods / Iterative methods for univariate functions, Bracketing methods
  • secant methods / Iterative methods for univariate functions, Secant methods
  • brent method / Iterative methods for univariate functions, Brent method

K

• k-d trees / Nearest neighbors
• Kmeans
  • about / Kmeans

L

• Lagrange interpolation
  • about / Lagrange interpolation
• LAPACK
  • URL / Motivation
• large scale solvers
  • about / Large-scale solvers
• Least Absolute Shrinkage and Selection Operator (LASSO) / Linear regression beyond ordinary least-squares
• least squares
  • about / Least squares
  • normal equations / Normal equations
  • QR factorization / QR factorization
  • singular value decomposition / Singular value decomposition
• least squares approximation
  • about / Motivation, Least squares approximation
  • linear least squares approximation / Linear least squares approximation
  • nonlinear least squares approximation / Nonlinear least squares approximation
• Lempel-Ziv-Welch (LZW)
  • about / Lossless compression
• lensfun library
  • URL / Geometric transformations
• lensfunpy package
  • URL / Geometric transformations
• Levenberg-Marquardt algorithm
  • about / Nonlinear least squares approximation
• Line / Plane geometry
• linear approximation
  • about / Motivation
• linear least squares approximation
  • about / Linear least squares approximation
• linear operators
  • creating / Creation of matrices and linear operators
  • about / Linear operators
• linear regression, beyond ordinary least-squares / Linear regression beyond ordinary least-squares
• locally linear embedding
  • about / Locally linear embedding
• Locally Optimal Block Preconditioned Conjugate Gradient method
  • about / Spectral decomposition
• logarithmic correction
  • about / Contrast enhancement
• lossless compression schemes, image compression
  • run-length encoding / Lossless compression
  • Lempel-Ziv-Welch (LZW) / Lossless compression
  • deflation / Lossless compression
  • chain code / Lossless compression
• lossy compression schemes, image compression
  • about / Lossy compression

M

• Machine geometry
  • about / Numerical computational geometry
• machine learning
  • about / Data mining and machine learning
• magnetic resonance imaging (MRI) device
  • about / Motivation
• Markov Chain Monte Carlo (MCMC) method / Bayesian approach
• Mathematical morphology
  • about / Mathematical morphology
• matrices
  • creating / Creation of matrices and linear operators
  • constructing, in ndarray class / Constructing matrices in the ndarray class
  • constructing, in matrix class / Constructing matrices in the matrix class
• matrix addition
  • about / Scalar multiplication, matrix addition, and matrix multiplication
• matrix class
  • matrices, constructing in / Constructing matrices in the matrix class
• matrix equations
  • about / Matrix equations
  • back and forward substitution / Back and forward substitution
  • banded matrices / Basic systems: banded matrices
  • generic square matrices / Basic systems: generic square matrices
  • least squares / Least squares
  • regularized least squares / Regularized least squares
• matrix equation solvers
  • about / Other matrix equation solvers
• matrix factorizations, based on eigenvalues
  • about / Matrix factorizations based on eigenvalues
  • spectral decomposition / Spectral decomposition
  • Schur decomposition / Schur decomposition
• matrix factorizations, related to solving matrix equations
  • about / Matrix factorizations related to solving matrix equations
  • relevant factorizations / Relevant factorizations
• matrix functions
  • about / Matrix functions
  • computing / Matrix functions
• Matrix Market
  • URL / Motivation
• Matrix Market Exchange format
  • about / Motivation, Constructing sparse matrices
• matrix multiplication
  • about / Scalar multiplication, matrix addition, and matrix multiplication
• MeanShift
  • about / MeanShift
• methods, for inputting sparse matrices
  • Block Sparse Row / Constructing sparse matrices
  • Coordinate / Constructing sparse matrices
  • Compressed Sparse Column / Constructing sparse matrices
  • Compressed Sparse Row / Constructing sparse matrices
  • diagonal storage / Constructing sparse matrices
  • dictionary of keys / Constructing sparse matrices
  • row-based linked list / Constructing sparse matrices
  • fancy indexing / Constructing sparse matrices
  • data, rows, and columns / Constructing sparse matrices
  • data, indices, and pointers / Constructing sparse matrices
• Mini-batch Kmeans
  • about / Kmeans
• MINPACK
  • URL / Motivation
• Monte-Carlo simulation
  • about / Unconstrained optimization for multivariate functions
• Moore-Penrose pseudo-inverse
  • about / Transposes and inverses
• mpmath
  • about / Analytic approximation methods
  • URL / Analytic approximation methods
• multivariate calculus
  • about / Multivariate calculus
• multivariate interpolation
  • about / Implementation details, Multivariate interpolation

N

• Naive Bayes
  • about / Naive Bayes
• ndarray class
  • matrices, constructing in / Constructing matrices in the ndarray class
• nearest-neighbors interpolation
  • about / Nearest-neighbors interpolation
• nearest neighbors
  • about / Nearest neighbors, Nearest neighbors
• networkx
  • about / Constructing sparse matrices
  • URL / Constructing sparse matrices
• Newton-Cotes quadratures
  • about / Functions without singularities on finite intervals
• Newton methods / Unconstrained optimization for multivariate functions, The Broyden-Fletcher-Goldfarb-Shanno quasi-Newton method
• noise, cases
  • Gaussian noise / Noise reduction
  • Poisson noise / Noise reduction
  • Salt and pepper / Noise reduction
  • Speckle / Noise reduction
• noise reduction
  • about / Noise reduction
• non-linear equations
  • about / Non-linear equations and systems
• non-symmetric banded square matrix / Basic systems: banded matrices
• nonlinear approximation
  • about / Motivation
• nonlinear least squares approximation
  • about / Nonlinear least squares approximation
• normal equations
  • about / Normal equations
• norms
  • about / Norms and condition numbers
• Numerical computational geometry
  • about / Numerical computational geometry
• numerical differentiation
  • about / Differentiation, Numerical differentiation
• numerical integration
  • about / Integration, Numerical integration
  • functions, without singularities on finite intervals / Functions without singularities on finite intervals
  • functions, with singularities on bounded domains / Functions with singularities on bounded domains
  • on unbounded domains / Integration on unbounded domains
• Numerical Linear Algebra
  • graph, example / Motivation
• Numerical Mathematics
  • example / Motivation
• numerical multivariate integration
  • about / Numerical multivariate integration
• numerical setting, probability
  • about / Numerical setting

O

• object measurements
  • about / Object measurements
• object recognition
  • about / Object recognition
  • edge detection / Edge detection
  • line detection / Line, circle, and ellipse detection
  • circle detection / Line, circle, and ellipse detection
  • ellipse detection / Line, circle, and ellipse detection
  • blob detection / Blob detection
  • corner detection / Corner detection
  • beyond geometric entities / Beyond geometric entities
• ODE library
  • URL / Two-step methods
• ODEPACK library
  • URL / Two-step methods
• openclipart
  • URL / Mathematical morphology
• optimization
  • about / Optimization
  • unconstrained optimization for univariate functions / Unconstrained optimization for univariate functions
  • constrained optimization for univariate functions / Constrained optimization for univariate functions
  • unconstrained optimization for multivariate functions / Unconstrained optimization for multivariate functions
  • constrained optimization for multivariate functions / Constrained optimization for multivariate functions
• ordinary least-squares regression, for large datasets / Ordinary least-squares regression for large datasets
• ordinary linear regression, for moderate-sized datasets / Ordinary linear regression for moderate-sized datasets

P

• piecewise monotonic cubic Hermite interpolation (PCHIP)
  • about / Spline interpolation
• piecewise polynomial interpolation
  • about / Piecewise polynomial interpolation
• pie charts
  • about / Bar plots and pie charts
• pivoted LU decomposition
  • about / Pivoted LU decomposition
• plane geometry
  • about / Plane geometry
• Point / Plane geometry
• point location / Point location
• Poisson noise / Noise reduction
• poly files
  • URL / Convex hulls
• poly format
  • URL / Convex hulls
• Powell's hybrid solver
  • about / Powell's hybrid solver
• principal component analysis (PCA)
  • about / Principal component analysis
• probability
  • about / Probability
  • symbolic setting / Symbolic setting
  • numerical setting / Numerical setting
• probability density function (PDF) / Motivation
• procedural mode
  • about / Interpolation
• Proprietary Matlab .mat format / Motivation
• PyWavelets
  • URL, for downloading / Wavelet decompositions

Q

• QAGS
  • about / Functions without singularities on finite intervals
• Qhull libraries
  • URL / Convex hulls
• Qhull manual
  • URL / Convex hulls
• QR decomposition
  • about / QR decomposition
• QR factorization
  • about / QR factorization
• QUADPACK libraries, netlib repositories
  • URL / Functions without singularities on finite intervals
• quantitative variables
  • relationship between / Relationship between quantitative variables

R

• range / Range searching
• range searching
  • about / Range searching
• real generalized Schur decomposition / Schur decomposition
• real Schur decomposition / Schur decomposition
• regression
  • about / Regression
  • ordinary linear regression for moderate-sized datasets / Ordinary linear regression for moderate-sized datasets
  • ordinary least-squares regression for large datasets / Ordinary least-squares regression for large datasets
  • liinear regression beyond ordinary least-squares / Linear regression beyond ordinary least-squares
  • support vector machines / Support vector machines
  • ensemble methods / Ensemble methods
• regularized least squares
  • about / Regularized least squares
• relevant factorizations
  • about / Relevant factorizations
  • pivoted LU decomposition / Pivoted LU decomposition
  • Cholesky decomposition / Cholesky decomposition
  • QR decomposition / QR decomposition
  • singular value decomposition / Singular value decomposition
• run-length encoding / Lossless compression
• Rutherford-Boeing Exchange format
  • about / Motivation

S

• Salt and pepper / Noise reduction
• scalar multiplication
  • about / Scalar multiplication, matrix addition, and matrix multiplication
• scatterplots
  • and correlation / Scatterplots and correlation
• Schur decomposition
  • about / Schur decomposition
  • complex Schur decomposition / Schur decomposition
  • real Schur decomposition / Schur decomposition
  • complex generalized Schur decomposition / Schur decomposition
  • real generalized Schur decomposition / Schur decomposition
• scikit-learn toolkit
  • URL / Ensemble methods
• scipy.misc
  • URL, for documentation / Numerical differentiation
• scipy.misc library
  • about / Gray-scale
• scipy.sparse.csgraph module
  • about / Shortest paths
  • URL / Shortest paths
• scipy.sparse module / Shortest paths
• scipy.special
  • URL, for documentation / Motivation
  • URL / Motivation
• scipy.stats library
  • URL / Describing distributions with numbers and boxplots
• Segment / Plane geometry
• segmentation
  • about / Image structure
• sharpening
  • about / Sharpening and blurring
• shortest paths
  • about / Static problems, Shortest paths
• Sigmoid correction
  • about / Contrast enhancement
• simple iterative solvers
  • about / Simple iterative solvers
• SimpleITK
  • URL / Image structure
• singular value decomposition
  • about / Singular value decomposition, Singular value decomposition
• skimage.color module
  • URL, for documentation / Color
• sparse matrices
  • reference link / Motivation
  • constructing / Constructing sparse matrices
• Sparse Matrix Collection
  • URL / Spectral decomposition
• Speckle / Noise reduction
• spectral clustering
  • about / Spectral clustering
• spectral decomposition
  • about / Spectral decomposition
• spectral embedding
  • about / Spectral embedding
• Spline interpolation
  • about / Spline interpolation
• static problems, Combinatorial computational geometry
  • convex hulls / Static problems, Convex hulls
  • Voronoi diagrams / Static problems, Voronoi diagrams
  • triangulations / Static problems, Triangulations
  • shortest paths / Static problems, Shortest paths
• statistical filters
  • about / Statistical filters
• statistical inference
  • about / Statistical inference
  • estimation / Statistical inference
  • interval estimation / Statistical inference, Interval estimation
  • hypothesis testing / Statistical inference
  • estimation of parameters / Estimation of parameters
• Steiner points / Triangulations
• stochastic gradient descent (SGD) / Ordinary least-squares regression for large datasets
• stochastic methods
  • about / Unconstrained optimization for multivariate functions, The stochastic methods
• SuperLU
  • URL / Motivation, Motivation
• SuperLU User Guide
  • URL / Basic systems: generic square matrices
• support vector classification
  • about / Support vector classification
• support vector machines / Support vector machines
• swirl
  • performing / Swirl
• symbolic differentiation
  • about / Differentiation, Symbolic differentiation
• symbolic integration
  • about / Integration, Symbolic integration
• symbolic setting, probability / Symbolic setting
• symbolic solution of differential equations
  • about / Symbolic solution of differential equations
• SymPy
  • URL / Symbolic solution of differential equations
  • URL, for documentation / Plane geometry
• sympy.stats
  • URL / Symbolic setting
• sympy libraries
  • about / Non-linear equations and systems
  • URL / Non-linear equations and systems
• SymPy library
  • URL / Differentiation
• systems of nonlinear equations
  • about / Systems of nonlinear equations
  • simple iterative solvers / Simple iterative solvers
  • broyden method / The Broyden method
  • Powell's hybrid solver / Powell's hybrid solver
  • large scale solvers / Large-scale solvers

T

• Theano
  • URL / Differentiation
• time plots
  • about / Time plots
• time series
  • analysis / Analysis of the time series
• traces
  • about / Traces and determinants
• transformations, of domain
  • about / Transformations of the domain
  • resize / Rescale and resize
  • rescale / Rescale and resize
  • swirl, performing / Swirl
  • geometric transformations / Geometric transformations
• transition matrix
  • about / Motivation
• transposes
  • about / Transposes and inverses
• Triangle / Plane geometry
• triangulations
  • about / Static problems, Triangulations
• two-dimensional geometric shapes, skimage.draw module
  • lines / Binary
  • circles / Binary
  • ellipses / Binary
  • polygons / Binary

U

• unconstrained optimization for multivariate functions
  • about / Unconstrained optimization for multivariate functions
  • stochastic methods / Unconstrained optimization for multivariate functions, The stochastic methods
  • deterministic algorithms that employ exclusively function evaluations / Unconstrained optimization for multivariate functions, Deterministic algorithms that exclusively employ function evaluations
  • Newton methods / Unconstrained optimization for multivariate functions, The Broyden-Fletcher-Goldfarb-Shanno quasi-Newton method
  • conjugate gradient methods / Unconstrained optimization for multivariate functions, The conjugate gradient method
• unconstrained optimization for univariate functions
  • about / Unconstrained optimization for univariate functions
• univariate interpolation
  • about / Implementation details, Univariate interpolation
  • nearest-neighbors interpolation / Nearest-neighbors interpolation
  • Lagrange interpolation / Lagrange interpolation
  • Hermite interpolation / Hermite interpolation
  • piecewise polynomial interpolation / Piecewise polynomial interpolation
  • Spline interpolation / Spline interpolation

V

• VBGMM
  • about / Gaussian mixture models
• Voronoi diagrams
  • about / Static problems, Voronoi diagrams

W

• wavelet decompositions
  • performing / Wavelet decompositions

Z

• zero spline
  • about / Spline interpolation