From 5d759da7dcaabf161568e664c98ccb37f76c8d94 Mon Sep 17 00:00:00 2001 From: Roger Labbe Date: Sun, 7 Dec 2014 19:51:29 -0800 Subject: [PATCH] Fixed links to Ensemble chapter. --- README.md | 2 +- table_of_contents.ipynb | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index b5c3f07..c1805eb 100644 --- a/README.md +++ b/README.md @@ -139,7 +139,7 @@ Kalman filter as covered only work for linear problems. Extended Kalman filters Unscented Kalman filters (UKF) are a recent development in Kalman filter theory. They allow you to filter nonlinear problems without requiring a closed form solution like the Extended Kalman filter requires. -[**Chapter 11: Ensemble Kalman Filters**](http://nbviewer.ipython.org/urls/raw.github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/11_Ensemble_Kalman_Filter/Ensemble_Kalman_Filter_Kalman_Filters.ipynb) +[**Chapter 11: Ensemble Kalman Filters**](http://nbviewer.ipython.org/urls/raw.github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/11_Ensemble_Kalman_Filter/Ensemble_Kalman_Filters.ipynb) Discusses the ensemble Kalman Filter, which uses a Monte Carlo approach to deal with very large Kalman filter states in nonlinear systems. diff --git a/table_of_contents.ipynb b/table_of_contents.ipynb index 089facf..ec4d8d0 100644 --- a/table_of_contents.ipynb +++ b/table_of_contents.ipynb @@ -75,7 +75,7 @@ "\n", "Unscented Kalman filters (UKF) are a recent development in Kalman filter theory. They allow you to filter nonlinear problems without requiring a closed form solution like the Extended Kalman filter requires.\n", "\n", - "[**Chapter 11: Ensemble Kalman Filters**](http://nbviewer.ipython.org/urls/raw.github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/11_Ensemble_Kalman_Filter/Ensemble_Kalman_Filter_Kalman_Filters.ipynb)\n", + "[**Chapter 11: Ensemble Kalman Filters**](http://nbviewer.ipython.org/urls/raw.github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/11_Ensemble_Kalman_Filter/Ensemble_Kalman_Filters.ipynb)\n", "\n", "Discusses the ensemble Kalman Filter, which uses a Monte Carlo approach to deal with very large Kalman filter states in nonlinear systems.\n", "\n",