saberbud/ceres-solver
1
0
Fork 0
mirror of https://github.com/ceres-solver/ceres-solver.git synced 2026-08-30 09:00:37 +08:00
Code Issues Packages Projects Releases Wiki Activity

Refactor the landing page to be a bit more compact.

Browse Source 
Also minor changes to the introduction.

Change-Id: Iaa71f576b95c869f075d6837dbb60ba4bb608ee7
This commit is contained in:
Sameer Agarwal
2014-04-07 11:14:51 -07:00
parent 406ac78167
commit 7d489fdb07
2 changed files with 32 additions and 41 deletions
Download Patch File Download Diff File Expand all files Collapse all files
docs/source/introduction.rst
+11 -11
View File
@@ -43,29 +43,29 @@ Why use Ceres Solver?
---------------------
* Ceres has an **integrated modelling layer**, making it easy and intutive to
model large, complex cost functions with interacting terms, such as a moving
vehicle with multiple sensors and tricky dynamics
vehicle with multiple sensors and tricky dynamics.
* Ceres has **integrated automatic differentiation**, avoiding the error-prone
task of manually computing derivatives
task of manually computing derivatives.
* Ceres can model a **wide variety of problems**, beyond simple nonlinear least
squares, thanks to robust loss functions and local parameterizations (e.g.
for quaternions)
for quaternions).
* Ceres is **very fast**, thanks to threaded cost function evaluators, threaded linear
solvers, and generous amounts of engineering time spent optimizing
solvers, and generous amounts of engineering time spent optimizing.
* Ceres has **multiple nonlinear solvers** including trust region (fast, uses
more memory) and line search (slower, uses less memory)
more memory) and line search (slower, uses less memory).
* Ceres has **multiple linear solvers** for both sparse and dense systems,
leveraging Eigen or MKL for dense solving, CHOLMOD or CXSparse for sparse
solving, and specialized linear solvers bundle adjustment
solving, and specialized linear solvers for bundle adjustment.
* Ceres has **thorough automated tests** ensuring it is high-quality
* Ceres is **industrial grade** thanks to **many compute-years** spent
running its code, analyzing the results, and improving it
running its code, analyzing the results, and improving it.
* Ceres has **world-class solution quality**, with the best known results of
any least squares solver on the `NIST least squares precision benchmark`_
any least squares solver on the `NIST least squares precision benchmark`_.
* Ceres has an **active community** encouraging contributions and mentoring
those starting out
those starting out.
* Ceres runs on **many platforms** including Linux, Windows, Mac OS X, Android, and
iOS (sort of)
iOS (sort of).
* Ceres is **liberally licensed (BSD)** so that you can use it freely in
commercial applications without releasing your code
commercial applications without releasing your code.
.. _NIST least squares precision benchmark: https://groups.google.com/forum/#!topic/ceres-solver/UcicgMPgbXw