Skip to content
GitLab
Explore
Sign in
Register
Primary navigation
Search or go to…
Project
Orekit
Manage
Activity
Members
Labels
Plan
Issues
Issue boards
Milestones
Wiki
Code
Merge requests
Repository
Branches
Commits
Tags
Repository graph
Compare revisions
Snippets
Build
Pipelines
Jobs
Pipeline schedules
Artifacts
Deploy
Releases
Package Registry
Container Registry
Model registry
Operate
Environments
Terraform modules
Monitor
Incidents
Analyze
Value stream analytics
Contributor analytics
CI/CD analytics
Repository analytics
Model experiments
Help
Help
Support
GitLab documentation
Compare GitLab plans
Community forum
Contribute to GitLab
Provide feedback
Keyboard shortcuts
?
Snippets
Groups
Projects
Show more breadcrumbs
Gaëtan Pierre
Orekit
Commits
f2a2b140
Commit
f2a2b140
authored
16 years ago
by
Luc Maisonobe
Browse files
Options
Downloads
Patches
Plain Diff
moved an item up in a bulleted list
parent
209078f9
No related branches found
Branches containing commit
No related tags found
Tags containing commit
No related merge requests found
Changes
1
Hide whitespace changes
Inline
Side-by-side
Showing
1 changed file
src/site/apt/index.apt
+8
-8
8 additions, 8 deletions
src/site/apt/index.apt
with
8 additions
and
8 deletions
src/site/apt/index.apt
+
8
−
8
View file @
f2a2b140
...
...
@@ -86,18 +86,15 @@ Overview
* multiple maneuvers
* handling of discrete events during integration
(models changes, G-stop, simple notifications ...)
* state of the art ODE integrators (adaptive stepsize with error control,
continuous output, switching functions, G-stop, step normalization ...)
* can be used in slave mode (propagator is driven by calling application),
master mode (propagator drives application callback functions) or
batch mode
(all intermediate results are stored during integration and
provided back to
the application which can navigate at will through them,
effectively using
the numerically propagated orbit as if it was computed by
analytical model,
this is ideal for search and iterative algorithms)
master mode (propagator drives application callback functions) or
ephemeris
generation mode
(all intermediate results are stored during integration and
provided back to
the application which can navigate at will through them,
effectively using
the numerically propagated orbit as if it was computed by
an analytical model,
this is ideal for search and iterative algorithms)
* serialization mechanism to store complete results on persistent storage for
later use
...
...
@@ -113,6 +110,9 @@ Overview
* unified interface above analytical/numerical/tabulated propagators for easy
switch from coarse analysis to fine simulation with one line change
* handling of discrete events during integration
(models changes, G-stop, simple notifications ...)
** Attitude
* extensible attitude evolution models
...
...
This diff is collapsed.
Click to expand it.
Preview
0%
Loading
Try again
or
attach a new file
.
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Save comment
Cancel
Please
register
or
sign in
to comment