BZPEERReading, trust and collaboration for research
Menu

Discover

GraphFollow connections around a paper, topic or saved view.

Workspaces

HomePick up where your research flow left off.InboxHandle requests, replies and notifications from one place.CollectionsCurate reading lists, evidence sets and shareable dossiers.ResearchSee your private provenance graph, trail and imports.CollaborationMove from discovery into focused discussion rooms.PublishDraft, preview and publish full-text research articles.

Network

ExpertsFind specialists worth following or asking for help.CommunitiesJoin research circles organized around shared work.PartnersSee external organizations active around the same topics.

Opportunities

ListingsBrowse roles, calls and collaborations with clearer fit signals.

Account

Log inReturn to your reading and collaboration workspace.Create accountStart saving work, following people and joining teams.
Log inCreate account

Graph explorer

Simulating DNLS models

We present different techniques to numerically solve the equations of motion for the widely studied Discrete Nonlinear Schroedinger equation (DNLS). Being a Hamiltonian system, the DNLS requires symplectic routines for an efficient numerical treatment. Here, we introduce different such schemes in detail and compare their performance and accuracy by extensive numerical simulations.

5 nodes5 linksoverview previewSimulating DNLS models
SearchCollections
5 nodes5 links
Simulating DNLS models5 visible / 5 total nodes / 5 links
Related contextAuthorshipTopic signalTopic signalTopic signalWSimulating DNLS modelspreprint / 2013AMario MulanskyResearcherTphysics.comp-ph4125 worksTNumerical Analysis6388 worksTComputational Engineeri...1260 works
PaperSignal 104 links

Simulating DNLS models

preprint / 2013

Open

Personal maps

Sign in to save graph views

Saved views keep the query, focus and filters attached to this map.

Sign in

Public snapshots

1 shared view(s)