Index
A
- adaptive quadrature / Numerical integration
- affine_transform command / Image interpolation
- Airy function / Airy (and Bairy) functions
- arange command
- about / Routines for array creation
- arg_names parameter / C/C++
- array object
- about / The array object
- array routines
- about / Array routines
- audio.wav command / Signal construction
- average/UPGMA method / Hierarchical clustering
B
- Bairy function / Airy (and Bairy) functions
- banana function
- about / Convenience and test functions
- BarycentricInterpolator
- about / Interpolation and regression
- Bessel functions
- about / Bessel and Struve functions
- beta integrals / Gamma and beta integrals
- BFGS algorithm / Minimization
- Biggles
- URL / What is SciPy?
- block diagonal matrices
- about / Matrix creation
- Brent method / Roots
- Brent method for scalar function / Minimization
- bronze-type Niobium oxide
- HAADF-STEM micrograph / Structural model of oxides
- brute force / Minimization
C
- C/C++
- center_of_mass command / Descriptive statistics
- centroid/UPGMC method / Hierarchical clustering
- Chaco
- URL / What is SciPy?
- Chebyshev polynomials
- about / Univariate polynomials
- Chi-square test (chisquare) / Interval estimation, correlation measures, and statistical tests
- chirp / Signal construction
- Cholesky decomposition / Eigenvalue problems and matrix decompositions
- Cin / A finite element solver for Poisson's equation
- circulant matrices
- about / Matrix creation
- clustering
- about / Clustering
- vector quantization and k-means / Vector quantization and k-means
- hierarchical clustering / Hierarchical clustering
- clustering mammals
- downloading, URL / Hierarchical clustering
- COBYLA / Minimization
- code parameter / C/C++
- companion matrices
- about / Matrix creation
- compiler option / C/C++
- complete/max/farthest method / Hierarchical clustering
- composite trapezoidal rule / Numerical integration
- compute item frequencies (itemfreq) / Descriptive statistics
- constrained minimization
- about / Minimization
- contourf command / Airy (and Bairy) functions
- convenience functions
- about / Convenience and test functions
- Cophenetic distances between observations (cophenet) / Hierarchical clustering
- Cout / A finite element solver for Poisson's equation
- crude bisection method
- about / Roots
- cumulative and relative frequencies (cumfreq, relfreq) / Descriptive statistics
- cumulative distribution function (cdf) / Distributions
- curve_fit routine / Optimization
- cval option / Image interpolation
- cval parameter / Filters
D
- data / Matlab/Octave
- datadict variable / Matlab/Octave
- data mining
- statistics / Descriptive statistics
- distances / Distances
- clustering / Clustering
- datatype
- about / Datatype
- Dawson's integral
- about / Exponential/logarithm integrals
- DFT
- about / Discrete Fourier Transforms
- dir() command / How to find documentation
- distances
- distributions / Distributions
- about / Distributions
- fitting / Distribution fitting
- distutils / Fortran
- documentation
- finding / How to find documentation
- downhill simplex algorithm / Minimization
- do_compression option / Matlab/Octave
- diff (for derivative/integral) / Discrete Fourier Transforms
E
- Eigenvalue issues / Eigenvalue problems and matrix decompositions
- elliptic functions / Other special functions
- elliptic integrals / Elliptic integrals
- exponential integrals
- about / Exponential/logarithm integrals
F
- f2py utility / Fortran
- fft2 / Discrete Fourier Transforms
- fftn / Discrete Fourier Transforms
- fig.show() command / Scientific visualization
- file argument / Signal construction
- file_name parameter / Matlab/Octave
- filters
- about / Filters
- creating / Filters
- LTI system theory / LTI system theory
- design / Filter design
- window functions / Window functions
- image interpolation / Image interpolation
- morphology / Morphology
- finite elements
- for Poissons equation / A finite element solver for Poisson's equation
- Finite impulse response (FIR) / Filter design
- fixed-order Gaussian quadrature / Numerical integration
- fixed-tolerance Gaussian quadrature / Numerical integration
- fname argument / Signal construction
- force parameter / C/C++
- format option / Matlab/Octave
- Fortran
- about / What is SciPy?, Fortran
- fft / Discrete Fourier Transforms
G
- gamma function
- about / The gamma function
- gamma integrals / Gamma and beta integrals
- Gauss error functions
- about / Exponential/logarithm integrals
- gausspulse / Signal construction
- Gegenbauer polynomials
- about / Univariate polynomials
- geometric_transform routine / Image interpolation
- Git repositories
- about / How to install SciPy
- global_dict parameter / C/C++
- GNU Octave system
- about / What is SciPy?
- Golden method for scalar function / Minimization
H
- HAADF-STEM micrograph
- of bronze-type Niobium oxide / Structural model of oxides
- Hadamard matrices
- about / Matrix creation
- Hankel functions
- about / Bessel and Struve functions
- Hankel matrices
- about / Matrix creation
- header option / C/C++
- Hermite polynomials
- about / Univariate polynomials
- Hessenberg decompositions / Eigenvalue problems and matrix decompositions
- Hessian matrix
- about / Convenience and test functions
- hierarchical clustering
- about / Hierarchical clustering
- single/min/nearest method / Hierarchical clustering
- complete/max/farthest method / Hierarchical clustering
- average/UPGMA method / Hierarchical clustering
- weighted/WPGMA method / Hierarchical clustering
- centroid/UPGMC method / Hierarchical clustering
- median/WPGMC method / Hierarchical clustering
- Ward's linkage method / Hierarchical clustering
- ndarray / Hierarchical clustering
- pdist routine / Hierarchical clustering
- Cophenetic distances between observations (cophenet) / Hierarchical clustering
- inconsistency statistics (inconsistent) / Hierarchical clustering
- maximum inconsistency coefficient for each non-singleton cluster with its descendants (maxdists) / Hierarchical clustering
- maximum statistic for each non-singleton cluster with its descendants (maxRstat) / Hierarchical clustering
- hilbert / Discrete Fourier Transforms
- Hilbert matrices
- about / Matrix creation
- HippoDraw
- URL / What is SciPy?
- histograms (histogram, histogram2) / Descriptive statistics
- Horner schemes
- about / Evaluation of special functions
- hyperbolic trigonometric integrals
- hypergeometric functions / Other special functions
I
- ifft (one dimension) / Discrete Fourier Transforms
- ifft2 (two dimensions) / Discrete Fourier Transforms
- ifftn (any number of dimensions) / Discrete Fourier Transforms
- ifftshift / Discrete Fourier Transforms
- ihilbert (for the Hilbert transform) / Discrete Fourier Transforms
- image compression
- via singular value decomposition / Image compression via the singular value decomposition
- image interpolation / Image interpolation
- imread(filename) command / Structural model of oxides
- inconsistency statistics (inconsistent) / Hierarchical clustering
- indexing
- about / Indexing
- Infinite impulse response (IIR) / Filter design
- installation, SciPy / How to install SciPy
- integration
- about / Integration
- logarithm integrals / Exponential/logarithm integrals
- exponential integrals / Exponential/logarithm integrals
- hyperbolic trigonometric integrals / Trigonometric and hyperbolic trigonometric integrals
- trigonometric integrals / Trigonometric and hyperbolic trigonometric integrals
- elliptic integrals / Elliptic integrals
- gamma integrals / Gamma and beta integrals
- beta integrals / Gamma and beta integrals
- numerical integration / Numerical integration
- interpolation
- about / Interpolation and regression
- interval estimation / Interval estimation, correlation measures, and statistical tests
- inverse Hilbert matrices
- about / Matrix creation
- iOS
- about / How to install SciPy
- iPad
- about / How to install SciPy
- itilbert (for the h-Tilbert transform of periodic sequences) / Discrete Fourier Transforms
J
- Jacobi polynomials
- about / Univariate polynomials
K
- k-means technique
- about / Vector quantization and k-means
- Kelvin functions / Other special functions
- Kendall's tau for ordinal data (kendalltau) / Interval estimation, correlation measures, and statistical tests
- Kolmogorov-Smirnov tests / Interval estimation, correlation measures, and statistical tests
- KrogInterpolator command
- about / Interpolation and regression
L
- L-BFGS-S algorithm / Minimization
- label command / Descriptive statistics
- label routine / Structural model of oxides
- Lagrange interpolation / Interpolation and regression
- Laguerre polynomials
- about / Univariate polynomials
- least-squares algorithm / Minimization
- Legendre ploynomials
- about / Univariate polynomials
- Leslie matrices
- about / Matrix creation
- linregress routine / Interval estimation, correlation measures, and statistical tests
- linspace command
- about / Routines for array creation
- log1p function
- about / Convenience and test functions
- logarithm integrals
- about / Exponential/logarithm integrals
- logspace command
- about / Routines for array creation
- Lorenz attractors
- about / Lorenz Attractors
- lower-triangular matrices
- about / Matrix creation
- lti class / LTI system theory
- LTI system theory / LTI system theory
- lu command / Eigenvalue problems and matrix decompositions
- lufactor command / Eigenvalue problems and matrix decompositions
M
- macports
- about / How to install SciPy
- Maple®
- about / What is SciPy?
- mat command
- about / Matrix creation
- Mathematica®
- about / What is SciPy?
- Mathieu functions / Other special functions
- Matlab
- about / Matlab/Octave
- MATLAB®
- about / What is SciPy?
- matrix
- about / Matrix creation
- creating / Matrix creation
- operations / Operations between matrices
- functions / Functions on matrices
- matrix command
- about / Matrix creation
- matrix decompositions / Eigenvalue problems and matrix decompositions
- matrix methods
- about / Matrix methods
- operations, between matrices / Operations between matrices
- functions, on matrices / Functions on matrices
- matrix decompositions / Eigenvalue problems and matrix decompositions
- Eigenvalue problems / Eigenvalue problems and matrix decompositions
- image compression, via singular value decomposition (SVD) / Image compression via the singular value decomposition
- solvers / Solvers
- matrix structure
- about / Matrix creation
- maximum inconsistency coefficient for each non-singleton cluster with its descendants (maxdists) / Hierarchical clustering
- maximum statistic for each non-singleton cluster with its descendants (maxRstat) / Hierarchical clustering
- MayaVi for 3D rendering
- URL / What is SciPy?
- medfilt / Filters
- median/WPGMC method / Hierarchical clustering
- minimization
- about / Minimization
- mode option / Image interpolation
- morphology
- operations / Morphology
N
- ndarray / Signal construction, Hierarchical clustering
- Newton-Raphson method
- about / Roots
- nonlinear conjugate gradient / Minimization
- numerical integration
- about / Numerical integration
- NumPy
- about / What is SciPy?
- numpy.putmask() command
- about / Routines for array creation
- numpy.where() command
- about / Routines for array creation
- NumPy ndarrays / C/C++
O
- object
- about / Object essentials
- Octave
- about / Matlab/Octave
- oned_as parameter / Matlab/Octave
- optimal weightings
- example / Matrix creation
- optimization
- about / Optimization
- minimization / Minimization
- roots / Roots
- order parameter / Image interpolation
- ordinary differential equations
- about / Ordinary differential equations
- orthonormal bases
- example / Operations between matrices
- overwrite_x / Discrete Fourier Transforms
- oxides
- structural model / Structural model of oxides
- structural mode / Structural model of oxides
P
- Palm OS
- about / How to install SciPy
- parabolic cylinder functions / Other special functions
- PCHIP monotonic cubic interpolation
- about / Interpolation and regression
- pdist routine / Hierarchical clustering
- Pearson correlation coefficient (pearsonr) / Interval estimation, correlation measures, and statistical tests
- PIL
- about / What is SciPy?
- Pivoted LU decomposition / Eigenvalue problems and matrix decompositions
- PlayStation
- about / How to install SciPy
- point biserial correlation (pointbiserialr) / Interval estimation, correlation measures, and statistical tests
- Poissons equation
- finite elements / A finite element solver for Poisson's equation
- polyfit command / Interpolation and regression
- Powell's method / Minimization
- primefactors.f file / Fortran
- primefactors routine / Fortran
- primefactors subroutine / Fortran
- probability density function (pdf) / Distributions
- programming environment, for computational mathematics
- characteristics / What is SciPy?
- Psion
- about / How to install SciPy
- PSP
- about / How to install SciPy
- Python
- about / What is SciPy?
- URL / How to install SciPy
- Python 2
- about / How to install SciPy
- Python 3
- about / How to install SciPy
- Python Imaging Library (PIL) / Signal construction
- PythonMath
- about / How to install SciPy
Q
- QR decompositions / Eigenvalue problems and matrix decompositions
- quadrature formulae / Numerical integration
- QZ decompositions / Eigenvalue problems and matrix decompositions
R
- random variable per se (rvs) / Distributions
- regression
- about / Interpolation and regression
- Riccati-Bessel functions / Bessel and Struve functions
- Ridders' algorithm / Roots
- Riemann zeta function
- about / The Riemann zeta function
- Robin matrix / A finite element solver for Poisson's equation
- Romberg integration / Numerical integration
- roots
- about / Roots
- Rosenbrock function / Minimization
- routines
- for array creation / Routines for array creation
- for combination of multiple arrays / Routines for the combination of two or more arrays
- for array manipulation / Routines for array manipulation
- for extracting information, from arrays / Routines to extract information from arrays
- RPy
- about / What is SciPy?
- rv_continuous class / Distributions
- rv_discrete class / Distributions
S
- Sage
- about / What is SciPy?
- Sage Math
- about / How to install SciPy
- sawtooth / Signal construction
- Schur decompositions / Eigenvalue problems and matrix decompositions
- scientific visualization
- about / Scientific visualization
- Scilab®
- about / What is SciPy?
- Scipy
- special functions, evaluating / Evaluation of special functions
- interpolation method / Interpolation and regression
- regression method / Interpolation and regression
- optimization / Optimization
- integration method / Integration
- SciPy
- about / What is SciPy?
- installing / How to install SciPy
- URL / How to install SciPy
- modules / SciPy organization
- documentation, finding / How to find documentation
- scientific visualization / Scientific visualization
- ordinary differential equations / Ordinary differential equations
- SciPy, for linear algebra
- matrix, creating / Matrix creation
- matrix methods / Matrix methods
- scipy.cluster
- about / SciPy organization
- scipy.cluster.hierachy submodule / Hierarchical clustering
- scipy.constants
- about / SciPy organization
- scipy.fftpack
- about / SciPy organization
- scipy.fftpack module / Discrete Fourier Transforms
- scipy.integrate
- about / SciPy organization
- scipy.integrate.quad_explain() command / Numerical integration
- scipy.integrate module
- about / Integration
- scipy.interpolate
- about / SciPy organization
- scipy.interpolate module
- about / Interpolation and regression
- scipy.io
- about / SciPy organization
- scipy.lib
- about / SciPy organization
- scipy.linalg
- about / SciPy organization
- scipy.linalg module
- about / Matrix creation, Functions on matrices
- scipy.misc
- about / SciPy organization
- scipy.misc module / Signal construction
- scipy.ndimage.measurements submodule / Descriptive statistics
- scipy.ndimage module / Filters, Structural model of oxides
- scipy.optimize
- about / SciPy organization
- scipy.optimize module
- about / Roots
- scipy.signal
- about / SciPy organization
- scipy.signal module / Filters, LTI system theory, Window functions
- scipy.sparse
- about / SciPy organization
- scipy.sparse module / Matrix creation
- scipy.spatial
- about / SciPy organization
- scipy.special
- about / SciPy organization
- scipy.special module
- scipy.stats
- about / SciPy organization
- scipy.stats.kde submodule / Distribution fitting
- scipy.stats module / Descriptive statistics, Distributions
- scipy.weave
- about / SciPy organization
- SciPy organization
- about / SciPy organization
- segmentation object / Structural model of oxides
- sequential least-squares programming / Minimization
- set_integrator method / Ordinary differential equations
- signal-to-noise ratio (signaltonoise) / Descriptive statistics
- signal construction
- about / Signal construction
- Simplified Wrapper and Interface Generator (SWIG)
- about / C/C++
- Simpson's rule / Numerical integration
- simulated annealing / Minimization
- single/min/nearest method / Hierarchical clustering
- singular value decomposition / Eigenvalue problems and matrix decompositions
- singular value decomposition (SVD) / Image compression via the singular value decomposition
- solvers / Solvers
- sourceforge
- about / How to install SciPy
- Spearman's rank-order correlation (spearmanr) / Interval estimation, correlation measures, and statistical tests
- special functions evaluation, Scipy
- about / Evaluation of special functions
- test functions / Convenience and test functions
- convenience functions / Convenience and test functions
- univariate polynomials / Univariate polynomials
- gamma function / The gamma function
- Riemann zeta function / The Riemann zeta function
- Bairy function / Airy (and Bairy) functions
- Airy function / Airy (and Bairy) functions
- Bessel functions / Bessel and Struve functions
- Struve functions / Bessel and Struve functions
- Spence's dilogarithm
- about / Exponential/logarithm integrals
- spheroidal wave functions / Other special functions
- square / Signal construction
- square Pascal matrices
- about / Matrix creation
- standard error (sem) / Descriptive statistics
- statistics
- about / Descriptive statistics
- distributions / Distributions
- interval estimation / Interval estimation, correlation measures, and statistical tests
- correlation measures / Interval estimation, correlation measures, and statistical tests
- statistical tests / Interval estimation, correlation measures, and statistical tests
- distribution fitting / Distribution fitting
- Struve functions
- about / Bessel and Struve functions
- support_code option / C/C++
- survival function along with its inverse (sf, isf) / Distributions
- svd command / Eigenvalue problems and matrix decompositions
T
- test functions
- about / Convenience and test functions
- tilbert / Discrete Fourier Transforms
- todense method / Matrix creation
- Toeplitz matrices
- about / Matrix creation
- trigonometric functions
- about / Convenience and test functions
- trigonometric integrals
- truncated Newton's algorithm / Minimization
U
- univariate polynomials
- about / Univariate polynomials
V
- vector / A finite element solver for Poisson's equation
- vector quantization
- about / Vector quantization and k-means
- Voronoi_edges / Structural model of oxides
W
- wavfile submodule / Signal construction
- weighted/WPGMA method / Hierarchical clustering
- window functions / Window functions