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expAtv

Compute Matrix Exponential exp(A t) * v directly


Description

Compute \exp(A t) * v directly, without evaluating \exp(A).

Usage

expAtv(A, v, t = 1,
       method = "Sidje98",
       rescaleBelow = 1e-6,
       tol = 1e-07, btol = 1e-07, m.max = 30, mxrej = 10,
       verbose = getOption("verbose"))

Arguments

A

n x n matrix

v

n - vector

t

number (scalar);

method

a string indicating the method to be used; there's only one currently; we would like to add newer ones.

rescaleBelow

if norm(A,"I") is smaller than rescaleBelow, rescale A to norm 1 and t such that A t remains unchanged. This step is in addition to Sidje's original algorithm and easily seen to be necessary even in simple cases (e.g., n = 3).

tol, btol

tolerances; these are tuning constants of the "Sidje1998" method which the user should typically not change.

m.max, mxrej

integer constants you should only change if you know what you're doing

verbose

flag indicating if the algorithm should be verbose..

Value

a list with components

eAtv

.....fixme...

Author(s)

Ravi Varadhan, Johns Hopkins University; Martin Maechler (cosmetic, generalization to sparse matrices; rescaling (see rescaleBelow).

References

Roger B. Sidje (1998) EXPOKIT: Software Package for Computing Matrix Exponentials. ACM - Transactions On Mathematical Software 24(1), 130–156.

((NOT yet available!))
Al-Mohy, A. and Higham, N. (2011). Computing the Action of the Matrix Exponential, with an Application to Exponential Integrators. SIAM Journal on Scientific Computing, 33(2), 488–511.

See Also

Examples

source(system.file("demo", "exact-fn.R", package = "expm"))
##-> rnilMat() ; xct10
set.seed(1)
(s5 <- Matrix(m5 <- rnilMat(5))); v <- c(1,6:9)
(em5 <- expm(m5))
r5  <- expAtv(m5, v)
r5. <- expAtv(s5, v)
stopifnot(all.equal(r5, r5., tolerance = 1e-14),
          all.equal(c(em5 %*% v), r5$eAtv))

v <- 10:1
with(xct10, all.equal(expm(m), expm))
all.equal(c(xct10$expm %*% v),
          expAtv(xct10$m, v)$eAtv)

expm

Matrix Exponential, Log, 'etc'

v0.999-6
GPL (>= 2)
Authors
Vincent Goulet, Christophe Dutang, Martin Maechler, David Firth, Marina Shapira, Michael Stadelmann
Initial release
2021-01-12

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