Index
A
- algorithms, skimage.feature module
- alpha channel
- analysis, of time series / Analysis of the time series
- analytic approximation methods
- approaches, for attacking inference
- approximation
- approximation problem
- approximation theory
- ARPACK
- automatic differentiation
- autoregressive Integrated Moving Average model (ARIMA)
- 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
- banded matrices
- bar plots
- basic geometrical objects, geometry module
- basic matrix manipulation
- bean plot
- binary image
- bivariate interpolation
- bivariate spline interpolation
- BLAS
- blurring / Sharpening and blurring
- Box-Jenkins model
- broyden method
- Bézier curves
C
- chain code / Lossless compression
- Cholesky decomposition
- CIE-LAB color space
- CIE-LUB color space
- Circle / Plane geometry
- classification
- Clensaw-Curtis method
- clustering
- color images
- Combinatorial computational geometry
- complex generalized Schur decomposition / Schur decomposition
- complex Schur decomposition / Schur decomposition
- Computer Aided Geometric Design (CAGD)
- computer algebra system (CAS)
- condition numbers
- conforming Delaunay / Triangulations
- constrained conforming Delaunay triangulation / Triangulations
- constrained Delaunay triangulation / Triangulations
- constrained optimization for multivariate functions
- constrained optimization for univariate functions
- contrast enhancement
- contrast limited adaptive histogram equalization (CLAHE) / Histogram equalization
- convex hulls
- correlation
- credible region / Bayesian approach
- Curve
D
- database formats, matrix
- data mining
- decision tree
- deflation / Lossless compression
- Delaunay triangulation / Triangulations
- descriptive statistics
- determinants
- differential equations
- differentiation
- digital images
- dimensionality reduction
- discrete-variable methods
- distributions
- dynamic problems
E
F
- FFTPACK
- filters
- FITPACK
- formulas
- Fortran coding methodology
- Fourier analysis
- Fresnel integrals
- FuncDesigner
- functional mode
- functions, without singularities on finite intervals
- functions, with singularities on bounded domains
G
- gamma correction
- Gaussian mixture models
- Gaussian noise / Noise reduction
- generic square matrices
- generic univariate interpolation / Implementation details
- geographic information systems (GIS)
- Geometric Modeling
- geometric query problems
- geometric transformations
- graphs
- Graphviz
- gray-scale image
H
- Hermite interpolation
- Hermitian transpose
- Hessian matrix / Multivariate calculus
- high-level operations, on digital images
- histogram equalization
- histograms
- Hubble eXtreme Deep Field
- Hue-Saturation-Value (HSV) color space
- hypothesis testing
I
- image analysis
- image compression
- image editing
- image editing, example
- image editing, examples
- image restoration
- image structure
- imgproc module
- Implicitly Restarted Arnoldi method
- Implicitly Restarted Lanczos method
- inpainting
- Insight Segmentation and Registration Toolkit (ITK)
- integration
- intensity adjustment
- intensity clipping
- intensity resizing
- interpolation
- interpolation problem
- interval / Bayesian approach
- interval estimation
- interval estimation, statistical inference
- inverses
- isometric mapping (isomap)
- iterative methods, for univariate functions
K
L
- Lagrange interpolation
- LAPACK
- large scale solvers
- Least Absolute Shrinkage and Selection Operator (LASSO) / Linear regression beyond ordinary least-squares
- least squares
- least squares approximation
- Lempel-Ziv-Welch (LZW)
- lensfun library
- lensfunpy package
- Levenberg-Marquardt algorithm
- Line / Plane geometry
- linear approximation
- linear least squares approximation
- linear operators
- linear regression, beyond ordinary least-squares / Linear regression beyond ordinary least-squares
- locally linear embedding
- Locally Optimal Block Preconditioned Conjugate Gradient method
- logarithmic correction
- lossless compression schemes, image compression
- lossy compression schemes, image compression
M
- Machine geometry
- machine learning
- magnetic resonance imaging (MRI) device
- Markov Chain Monte Carlo (MCMC) method / Bayesian approach
- Mathematical morphology
- matrices
- matrix addition
- matrix class
- matrix equations
- matrix equation solvers
- matrix factorizations, based on eigenvalues
- matrix factorizations, related to solving matrix equations
- matrix functions
- Matrix Market
- Matrix Market Exchange format
- matrix multiplication
- MeanShift
- methods, for inputting sparse matrices
- Mini-batch Kmeans
- MINPACK
- Monte-Carlo simulation
- Moore-Penrose pseudo-inverse
- mpmath
- multivariate calculus
- multivariate interpolation
N
O
P
- piecewise monotonic cubic Hermite interpolation (PCHIP)
- piecewise polynomial interpolation
- pie charts
- pivoted LU decomposition
- plane geometry
- Point / Plane geometry
- point location / Point location
- Poisson noise / Noise reduction
- poly files
- poly format
- Powell's hybrid solver
- principal component analysis (PCA)
- probability
- probability density function (PDF) / Motivation
- procedural mode
- Proprietary Matlab .mat format / Motivation
- PyWavelets
Q
- QAGS
- Qhull libraries
- Qhull manual
- QR decomposition
- QR factorization
- QUADPACK libraries, netlib repositories
- quantitative variables
R
S
- Salt and pepper / Noise reduction
- scalar multiplication
- scatterplots
- Schur decomposition
- scikit-learn toolkit
- scipy.misc
- scipy.misc library
- scipy.sparse.csgraph module
- scipy.sparse module / Shortest paths
- scipy.special
- scipy.stats library
- Segment / Plane geometry
- segmentation
- sharpening
- shortest paths
- Sigmoid correction
- simple iterative solvers
- SimpleITK
- singular value decomposition
- skimage.color module
- URL, for documentation / Color
- sparse matrices
- Sparse Matrix Collection
- Speckle / Noise reduction
- spectral clustering
- spectral decomposition
- spectral embedding
- Spline interpolation
- static problems, Combinatorial computational geometry
- statistical filters
- statistical inference
- Steiner points / Triangulations
- stochastic gradient descent (SGD) / Ordinary least-squares regression for large datasets
- stochastic methods
- SuperLU
- SuperLU User Guide
- support vector classification
- support vector machines / Support vector machines
- swirl
- symbolic differentiation
- symbolic integration
- symbolic setting, probability / Symbolic setting
- symbolic solution of differential equations
- SymPy
- sympy.stats
- sympy libraries
- SymPy library
- systems of nonlinear equations
T
- Theano
- time plots
- time series
- traces
- transformations, of domain
- transition matrix
- transposes
- Triangle / Plane geometry
- triangulations
- two-dimensional geometric shapes, skimage.draw module
U
- unconstrained optimization for multivariate functions
- unconstrained optimization for univariate functions
- univariate interpolation
V
W
Z
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