wormell / poltergeist.jl Goto Github PK
View Code? Open in Web Editor NEWJulia package for transfer operator spectral methods
License: Other
Julia package for transfer operator spectral methods
License: Other
As well as general transfer operators, this would be helpful for for calculating Lyapunov exponents.
The current MarkovMap structure, that builds up from multiple independent branches, is a reasonably natural fit for non-periodic intervals but is clunky with periodic intervals, where it would be more natural to work with the lift.
Perhaps a ToralMap type (<: AbstractMarkovMap) that contains the lift and some information about the covering properties would work better.
The tag name "v0.3" is not of the appropriate SemVer form (vX.Y.Z).
cc: @wormell
Is this the right place to ask about the intermittent maps? I would be very glad to have a program which does accurate computations for them.
I've changed some of the internal structure of BandedMatrices.jl, and so this package is now broken:
BLASBandedMatrix
is removedαΑ_mul_B_plus_βC
is now just mul!(C, A, B, α, β)
as in Julia v0.7 SparseArrays.jlI added an upper bound to METADATA for Poltergeist, as there were a number of changes in ApproxFun 0.8.
(In retrospect, this may have been a mistake: I forgot at the time our conversion before where you said there were no issues. So I could also just revert that METADATA change, though if this is due a new tag that's the easier route.)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.