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searching for Matrix exponential 24 found (113 total)

Matrix-exponential distribution (365 words) [view diff] no match in snippet view article find links to article

In probability theory, the matrix-exponential distribution is an absolutely continuous distribution with rational Laplace–Stieltjes transform. They were

Rational arrival process (189 words) [view diff] no match in snippet view article find links to article

extends the concept of a Markov arrival process, allowing for dependent matrix-exponential distributed inter-arrival times. The processes were first characterised

Product of exponentials formula (1,056 words) [view diff] exact match in snippet view article find links to article

^{T}v\theta } where I is the 3x3 identity matrix. For each joint i, the matrix exponential eξ^iθi{\textstyle e^{{\hat {\xi }}_{i}\theta _{i}}} for a given joint

Wilks's lambda distribution (610 words) [view diff] no match in snippet view article find links to article

Kolmogorov Lévy log-Cauchy log-Laplace log-logistic log-normal log-t Lomax matrix-exponential Maxwell–Boltzmann Maxwell–Jüttner Mittag-Leffler Nakagami Pareto phase-type

Multivariate Laplace distribution (996 words) [view diff] no match in snippet view article find links to article

Kolmogorov Lévy log-Cauchy log-Laplace log-logistic log-normal log-t Lomax matrix-exponential Maxwell–Boltzmann Maxwell–Jüttner Mittag-Leffler Nakagami Pareto phase-type

SAAM II (1,278 words) [view diff] exact match in snippet view article find links to article

solving ODEs. Pade approximation of the matrix exponential: This method is based on approximating the matrix exponential using Pade approximants, providing

Validated numerics (1,339 words) [view diff] exact match in snippet view article find links to article

Applications, 569, 38-61. Miyajima, S. (2019). Verified computation of the matrix exponential. Advances in Computational Mathematics, 45(1), 137-152. Johansson

Inverse Laplace transform (981 words) [view diff] no match in snippet view article find links to article

Matlab Numerical Inversion of Laplace Transforms based on concentrated matrix-exponential functions in Matlab Inverse Fourier transform Poisson summation formula

Elliptical distribution (1,737 words) [view diff] no match in snippet view article find links to article

Kolmogorov Lévy log-Cauchy log-Laplace log-logistic log-normal log-t Lomax matrix-exponential Maxwell–Boltzmann Maxwell–Jüttner Mittag-Leffler Nakagami Pareto phase-type

Autonomous system (mathematics) (2,181 words) [view diff] case mismatch in snippet view article

Brooks/Cole Publishing Co. pp. 540–543. ISBN 0-495-01265-3. "Method of Matrix Exponential". Math24. Retrieved 28 February 2021. Vardia T. Haimo (1985). "Finite

Rodrigues' rotation formula (1,959 words) [view diff] exact match in snippet view article find links to article

characterizes so(3){\displaystyle {\mathfrak {so}}(3)}). In terms of the matrix exponential, R=exp⁡(θK).{\displaystyle \mathbf {R} =\exp(\theta \mathbf {K} )\

2-EPT probability density function (630 words) [view diff] exact match in snippet view article find links to article

{c}}_{N}e^{{\textbf {A}}_{N}x}{\textbf {b}}_{N},} where e represents a matrix exponential, (AN,AP){\displaystyle ({\textbf {A}}_{N},{\textbf {A}}_{P})} are

Adjoint representation (3,227 words) [view diff] exact match in snippet view article find links to article

{\mathfrak {g}}} consists of matrices and the exponential map is the matrix exponential exp⁡(X)=eX{\displaystyle \operatorname {exp} (X)=e^{X}} for matrices

QuTiP (939 words) [view diff] exact match in snippet view article find links to article

70710678+0.j ] [ 0. +0.70710678j]] ], dtype=object)) >>> (1j * A).expm() # matrix exponential of an operator Quantum object: dims = [[2], [2]], shape = (2, 2),

Self-organizing map (3,841 words) [view diff] exact match in snippet view article find links to article

The homogeneous Gaussian neighborhood function is replaced with the matrix exponential. Thus one can specify the orientation either in the map space or in

David Cox (statistician) (1,974 words) [view diff] no match in snippet view article

Known for Cox proportional hazards model Cox process Box-Cox transform Matrix-exponential distribution Method of supplementary variables Stochastic processes

Kreiss matrix theorem (768 words) [view diff] exact match in snippet view article find links to article

of the Kreiss constant with respect to the left-half plane and the matrix exponential: Klhp(A)≤supt≥0‖etA‖≤enKlhp(A){\displaystyle {\mathcal {K}}_{\mathrm

Jacobi eigenvalue algorithm (3,654 words) [view diff] exact match in snippet view article find links to article

x=S+b=ETDiag(e+)Eb{\displaystyle x=S^{+}b=E^{T}{\mbox{Diag}}(e^{+})Eb}. Matrix exponential From S=ETDiag(e)E{\displaystyle S=E^{T}{\mbox{Diag}}(e)E} one finds

Centrality (6,287 words) [view diff] exact match in snippet view article find links to article

the number of walks of length given by that power. Similarly, the matrix exponential is also closely related to the number of walks of a given length.

Screw theory (4,212 words) [view diff] exact match in snippet view article find links to article

[T(t)] that has a constant twist matrix [S]. The solution is the matrix exponential [T(t)]=e[S]t.{\displaystyle [T(t)]=e^{[S]t}.} This formulation can

Multivariate normal distribution (8,737 words) [view diff] no match in snippet view article find links to article

Kolmogorov Lévy log-Cauchy log-Laplace log-logistic log-normal log-t Lomax matrix-exponential Maxwell–Boltzmann Maxwell–Jüttner Mittag-Leffler Nakagami Pareto phase-type

Local linearization method (11,087 words) [view diff] no match in snippet view article find links to article

In numerical analysis, the local linearization (LL) method is a general strategy for designing numerical integrators for differential equations based on

Bell polynomials (6,639 words) [view diff] case mismatch in snippet view article find links to article

as BellY Maple as IncompleteBellB SageMath as bell_polynomial Bell matrix Exponential formula Comtet 1974. Cvijović 2011. Alexeev, Pologova & Alekseyev

Computational anatomy (15,911 words) [view diff] exact match in snippet view article find links to article

simple ordinary differential equations with solutions given by the matrix exponential. For the study of deformable shape in computational anatomy, a more