Recent changes to Home

Home modified by Thomas Mejer Hansen

Thomas Mejer Hansen — Wed, 08 Feb 2017 13:21:16 -0000

--- v76
+++ v77
@@ -2,8 +2,7 @@

 ### --> [Download](https://sourceforge.net/projects/sippi/files/latest/download?source=files) the latest version of SIPPI. 

-### --> [SIPPI user guide](https://www.gitbook.com/book/cultpenguin/sippi/details) Documentation \[@gitbook\]: [html](https://www.gitbook.com/book/cultpenguin/sippi/details), [pdf](https://www.gitbook.com/download/pdf/book/cultpenguin/sippi)
-[Examples](https://cultpenguin.gitbooks.io/sippi/content/chapExamples/)
+### --> [SIPPI user guide](https://www.gitbook.com/book/cultpenguin/sippi/details) Documentation \[@gitbook\]: [html](https://www.gitbook.com/book/cultpenguin/sippi/details), [pdf](https://www.gitbook.com/download/pdf/book/cultpenguin/sippi),[Examples](https://cultpenguin.gitbooks.io/sippi/content/chapExamples/)

 ### --> [Developent code](https://github.com/cultpenguin/SIPPI) \[@github\]

Home modified by Thomas Mejer Hansen

Thomas Mejer Hansen — Wed, 08 Feb 2017 13:20:48 -0000

--- v75
+++ v76
@@ -3,10 +3,9 @@
 ### --> [Download](https://sourceforge.net/projects/sippi/files/latest/download?source=files) the latest version of SIPPI.

 ### --> [SIPPI user guide](https://www.gitbook.com/book/cultpenguin/sippi/details) Documentation \[@gitbook\]: [html](https://www.gitbook.com/book/cultpenguin/sippi/details), [pdf](https://www.gitbook.com/download/pdf/book/cultpenguin/sippi)
+[Examples](https://cultpenguin.gitbooks.io/sippi/content/chapExamples/)

-### --> [Examples](https://cultpenguin.gitbooks.io/sippi/content/chapExamples/)
-
-### --> [Developent code](https://github.com/cultpenguin/SIPPI) [@github] 
+### --> [Developent code](https://github.com/cultpenguin/SIPPI) \[@github\] 

 ![AM1234 ray coverage](http://sippi.sourceforge.net/htmldoc/figures/web/AM1234_data_raycoverage.png)![forward kernels](http://sippi.sourceforge.net/htmldoc/figures/web/sippi_kernels_velocity.png)![linear kernels](http://sippi.sourceforge.net/htmldoc/figures/web/sippi_kernels_Linear_Born_kernel.png)![line fitting](http://sippi.sourceforge.net/htmldoc/figures/web/sippi_line_fit.png)

Home modified by Thomas Mejer Hansen

Thomas Mejer Hansen — Wed, 08 Feb 2017 13:20:15 -0000

--- v74
+++ v75
@@ -2,7 +2,7 @@

 ### --> [Download](https://sourceforge.net/projects/sippi/files/latest/download?source=files) the latest version of SIPPI. 

-### --> [SIPPI user guide](https://www.gitbook.com/book/cultpenguin/sippi/details) Documentation [@gitbook]: [html](https://www.gitbook.com/book/cultpenguin/sippi/details), [pdf](https://www.gitbook.com/download/pdf/book/cultpenguin/sippi)
+### --> [SIPPI user guide](https://www.gitbook.com/book/cultpenguin/sippi/details) Documentation \[@gitbook\]: [html](https://www.gitbook.com/book/cultpenguin/sippi/details), [pdf](https://www.gitbook.com/download/pdf/book/cultpenguin/sippi)

 ### --> [Examples](https://cultpenguin.gitbooks.io/sippi/content/chapExamples/)

Home modified by Thomas Mejer Hansen

Thomas Mejer Hansen — Wed, 08 Feb 2017 13:19:42 -0000

--- v73
+++ v74
@@ -2,9 +2,11 @@

 ### --> [Download](https://sourceforge.net/projects/sippi/files/latest/download?source=files) the latest version of SIPPI. 

-### --> documentation: [html](https://www.gitbook.com/book/cultpenguin/sippi/details), [pdf](https://www.gitbook.com/download/pdf/book/cultpenguin/sippi)
+### --> [SIPPI user guide](https://www.gitbook.com/book/cultpenguin/sippi/details) Documentation [@gitbook]: [html](https://www.gitbook.com/book/cultpenguin/sippi/details), [pdf](https://www.gitbook.com/download/pdf/book/cultpenguin/sippi)

-### --> Go directly to the [examples](https://cultpenguin.gitbooks.io/sippi/content/chapExamples/)
+### --> [Examples](https://cultpenguin.gitbooks.io/sippi/content/chapExamples/)
+
+### --> [Developent code](https://github.com/cultpenguin/SIPPI) [@github] 

 ![AM1234 ray coverage](http://sippi.sourceforge.net/htmldoc/figures/web/AM1234_data_raycoverage.png)![forward kernels](http://sippi.sourceforge.net/htmldoc/figures/web/sippi_kernels_velocity.png)![linear kernels](http://sippi.sourceforge.net/htmldoc/figures/web/sippi_kernels_Linear_Born_kernel.png)![line fitting](http://sippi.sourceforge.net/htmldoc/figures/web/sippi_line_fit.png)

Home modified by Thomas Mejer Hansen

Thomas Mejer Hansen — Wed, 08 Feb 2017 13:16:49 -0000

--- v72
+++ v73
@@ -12,85 +12,5 @@
 ## About SIPPI

 SIPPI is a Matlab toolbox (compatible with GNU Octave) that allow sampling the solution of non-linear inverse problems with realistic a priori information.
+Please see the documentation for more details:   [SIPPI user guide](https://www.gitbook.com/book/cultpenguin/sippi/details),

-In order to make use of SIPPI one has to 
-
-0. [Install and setup](http://sippi.sourceforge.net/htmldoc/Installation.html) SIPPI 
-+ Define the [prior model](http://sippi.sourceforge.net/htmldoc/chapSippi.html#chapprior), in form of the `prior` data structure.
-0 Define the [data and noise](http://sippi.sourceforge.net/htmldoc/chapdata.html), in form of teh 'data' data structure.
-+ Define the [forward](http://sippi.sourceforge.net/htmldoc/chapforward.html) model, in form of the `forward` data structure, and the `sippi_forward.m` m-file.  
-+ Choose a method for [sampling the a posteriori pdf](http://sippi.sourceforge.net/htmldoc/chapPosterior.html#chapposterior). 
-
-## Complex a priori models
-
-SIPPI allow utilizing any combination of the [following methods](http://sippi.sourceforge.net/htmldoc/chapSippi.html#prior_types) to describe a complex (or very simple) a priori model:
-
-+ 1D generalized Gaussian
-+ FFT Moving Average (FFTMA)
-+ Sequential Gaussian simulation (SGSIM)
-+ Direct sequential simulation (DSSIM)
-+ Sequential indicator simulation (SISIM)
-+ Multiple point based simulation (SNESIM)
-
-## Methods for sampling the a posteriori pdf
-
-The following methods are available for sampling the a posteriori probability distribution, using any prior model that can be defined in SIPPI :
-
-* [The extended Metropolis sampler](http://sippi.sourceforge.net/htmldoc/chapPosterior.html#sec_extendedmetropolis). 
-This is the primary algorithm in SIPPI as it allow sampling the solution to non-linear inverse problems, using any combination of all the available a priori models. It can be run using both [Parallel tempering](http://sippi.sourceforge.net/htmldoc/sec_tempering.html)  and [Simulated Annealing](http://sippi.sourceforge.net/htmldoc/sec_simanneal.html).
-
-* [Rejection sampling](http://sippi.sourceforge.net/htmldoc/chapPosterior.html#sec_rejection). 
-Can handle the same prior models as the extended Metropolis algorithm, but it is only usable for very low dimensional inverse problems.
-
-If the inverse problem is linear, the noise model Gaussian, and the a priori mode Gaussian (with some possibility of relaxing the Gaussian assumption), the following methods are available 
-
-* Least squares inversion
-* Sequential Gaussian simulation
-* Direct sequential simulation
-* Gaussian simulation through error simulation
-
-## Examples
-In order to use SIPPI to sample the a posterior probability density, the solution to the forward problem must be implemented through the function [sippi_forward.m](http://sippi.sourceforge.net/htmldoc/chapforward.html).
-
-Two such forward problems has been implemented.
-
-### [Line fitting](http://sippi.sourceforge.net/htmldoc/sec_ex_linefit.html) 
-
-### [Cross hole GPR travel time inversion](http://sippi.sourceforge.net/htmldoc/sec_ex_tomography.html)
-A [2D-3D cross hole georadar traveltime data from Arrenæs](http://sippi.sourceforge.net/htmldoc/sec_ex_tomography.html#arrenaes_data) is available. 
-
-[a number of ways to solve the forward problem of computing the travel time delay between a source in one borehole and a receiver in another borehole](http://sippi.sourceforge.net/htmldoc/forward_traveltime.html) has been implemented.
-
-Thus, the SIPPI toolbox can be readily used to solve cross-hole tomographic inverse problems.
-
-# Manuscripts
-
-The code accompanies two papers accepted for publication in Computers & Geosciences:
-
-Hansen, T.M., Cordua, K. S., Looms. M.C., and Mosegaard, K., 2013. SIPPI : A Matlab toolbox for Sampling the solution to Inverse Problems with complex Prior Information: Part 1 - Methodology. Computers & Geosciences, 52, 470-480. [doi:10.1016/j.cageo.2012.09.004](http://dx.doi.org/10.1016/j.cageo.2012.09.004).
-
-Hansen, T.M., Cordua, K. S., Looms. M.C., and Mosegaard, K., 2013. SIPPI : A Matlab toolbox for Sampling the solution to Inverse Problems with complex Prior Information: Part 2 - Application to cross hole GPR tomography. Computers & Geosciences, 52, 481-492-480. [doi:10.1016/j.cageo.2012.10.001](http://dx.doi.org/10.1016/j.cageo.2012.10.001).
-
-## Examples from manuscripts
-
-Hansen, T.M., Cordua, K. S., Jacobsen, B. J., and Mosegaard, K.. Accounting for imperfect forward modeling in geophysical inverse problems - exemplified for cross hole tomography. Geophsyics, 79(3) H1-H21, 2014. doi:10.1190/geo2013-0215.1
-
-Hansen, T.M., Cordua. K.S., and Mosegaard, K. A general probabilistic approach for inference of Gaussian model parameters from noisy data of point and volume support. Mathematical Geosciences 47(7), pp 843-865. published online 09-2014. doi:10.1007/s11004-014-9567-5 
-SIPPI example: http://sippi.sourceforge.net/htmldoc/sec_ex_covarianceinference.html
-
-
-# Acknowledgement
-
-SIPPI make use of other open software projects such as :
-
-* mGstat : <http: mgstat.sourceforge.net="">
-* MPSLib: <https: github.com="" ergosimulation="" mpslib="">
-* VISIM : <http: imgp.nbi.dk="" visim.php="">
-* Accurate Fast Marching Matlab toolbox : <http: www.mathworks.com="" matlabcentral="" fileexchange="" 24531-accurate-fast-marching="">
-* SGeMS : <http: sgems.sourceforge.net=""/>
-
-
-Codes and theory has been developed by the [Inverse Modeling and Geostatistics Project](http://imgp.nbi.dk)
-
-[[project_admins]]
-

Home modified by Thomas Mejer Hansen

Thomas Mejer Hansen — Wed, 08 Feb 2017 13:12:10 -0000

--- v71
+++ v72
@@ -2,9 +2,9 @@

 ### --> [Download](https://sourceforge.net/projects/sippi/files/latest/download?source=files) the latest version of SIPPI. 

-### --> documentation: [html](http://sippi.sourceforge.net/htmldoc/), [pdf](http://sippi.sourceforge.net/sippi.pdf)
+### --> documentation: [html](https://www.gitbook.com/book/cultpenguin/sippi/details), [pdf](https://www.gitbook.com/download/pdf/book/cultpenguin/sippi)

-### --> Go directly to the [examples](http://sippi.sourceforge.net/htmldoc/chapExamples.html)
+### --> Go directly to the [examples](https://cultpenguin.gitbooks.io/sippi/content/chapExamples/)

 ![AM1234 ray coverage](http://sippi.sourceforge.net/htmldoc/figures/web/AM1234_data_raycoverage.png)![forward kernels](http://sippi.sourceforge.net/htmldoc/figures/web/sippi_kernels_velocity.png)![linear kernels](http://sippi.sourceforge.net/htmldoc/figures/web/sippi_kernels_Linear_Born_kernel.png)![line fitting](http://sippi.sourceforge.net/htmldoc/figures/web/sippi_line_fit.png)

Home modified by Thomas Mejer Hansen

Thomas Mejer Hansen — Thu, 18 Aug 2016 21:35:53 -0000

--- v70
+++ v71
@@ -71,8 +71,7 @@

 Hansen, T.M., Cordua, K. S., Looms. M.C., and Mosegaard, K., 2013. SIPPI : A Matlab toolbox for Sampling the solution to Inverse Problems with complex Prior Information: Part 2 - Application to cross hole GPR tomography. Computers & Geosciences, 52, 481-492-480. [doi:10.1016/j.cageo.2012.10.001](http://dx.doi.org/10.1016/j.cageo.2012.10.001).

-## examples form manuscripts
-SIPPI has been used for the following papers (and examples are available) 
+## Examples from manuscripts

 Hansen, T.M., Cordua, K. S., Jacobsen, B. J., and Mosegaard, K.. Accounting for imperfect forward modeling in geophysical inverse problems - exemplified for cross hole tomography. Geophsyics, 79(3) H1-H21, 2014. doi:10.1190/geo2013-0215.1

Home modified by Thomas Mejer Hansen

Thomas Mejer Hansen — Thu, 18 Aug 2016 21:35:09 -0000

--- v69
+++ v70
@@ -71,15 +71,24 @@

 Hansen, T.M., Cordua, K. S., Looms. M.C., and Mosegaard, K., 2013. SIPPI : A Matlab toolbox for Sampling the solution to Inverse Problems with complex Prior Information: Part 2 - Application to cross hole GPR tomography. Computers & Geosciences, 52, 481-492-480. [doi:10.1016/j.cageo.2012.10.001](http://dx.doi.org/10.1016/j.cageo.2012.10.001).

+## examples form manuscripts
+SIPPI has been used for the following papers (and examples are available) 
+
+Hansen, T.M., Cordua, K. S., Jacobsen, B. J., and Mosegaard, K.. Accounting for imperfect forward modeling in geophysical inverse problems - exemplified for cross hole tomography. Geophsyics, 79(3) H1-H21, 2014. doi:10.1190/geo2013-0215.1
+
+Hansen, T.M., Cordua. K.S., and Mosegaard, K. A general probabilistic approach for inference of Gaussian model parameters from noisy data of point and volume support. Mathematical Geosciences 47(7), pp 843-865. published online 09-2014. doi:10.1007/s11004-014-9567-5 
+SIPPI example: http://sippi.sourceforge.net/htmldoc/sec_ex_covarianceinference.html
+

 # Acknowledgement

 SIPPI make use of other open software projects such as :

+* mGstat : <http: mgstat.sourceforge.net="">
+* MPSLib: <https: github.com="" ergosimulation="" mpslib="">
+* VISIM : <http: imgp.nbi.dk="" visim.php="">
+* Accurate Fast Marching Matlab toolbox : <http: www.mathworks.com="" matlabcentral="" fileexchange="" 24531-accurate-fast-marching="">
 * SGeMS : <http: sgems.sourceforge.net=""/>
-* VISIM : <http: imgp.nbi.dk="" visim.php="">
-* mGstat : <http: mgstat.sourceforge.net="">
-* Accurate Fast Marching Matlab toolbox : <http: www.mathworks.com="" matlabcentral="" fileexchange="" 24531-accurate-fast-marching="">

 Codes and theory has been developed by the [Inverse Modeling and Geostatistics Project](http://imgp.nbi.dk)

Home modified by Thomas Mejer Hansen

Thomas Mejer Hansen — Tue, 01 Mar 2016 13:29:26 -0000

--- v68
+++ v69
@@ -37,8 +37,7 @@
 The following methods are available for sampling the a posteriori probability distribution, using any prior model that can be defined in SIPPI :

 * [The extended Metropolis sampler](http://sippi.sourceforge.net/htmldoc/chapPosterior.html#sec_extendedmetropolis). 
-This is the primary algorithm in SIPPI as it allow sampling the solution to non-linear inverse problems, using any combination of all the available a priori models.
-It can be run using both [Parallel tempering](http://sippi.sourceforge.net/htmldoc/sec_tempering.html) and [Simulated Annealing](http://sippi.sourceforge.net/htmldoc/sec_simanneal.html).
+This is the primary algorithm in SIPPI as it allow sampling the solution to non-linear inverse problems, using any combination of all the available a priori models. It can be run using both [Parallel tempering](http://sippi.sourceforge.net/htmldoc/sec_tempering.html)  and [Simulated Annealing](http://sippi.sourceforge.net/htmldoc/sec_simanneal.html).

 * [Rejection sampling](http://sippi.sourceforge.net/htmldoc/chapPosterior.html#sec_rejection). 
 Can handle the same prior models as the extended Metropolis algorithm, but it is only usable for very low dimensional inverse problems.

Home modified by Thomas Mejer Hansen

Thomas Mejer Hansen — Tue, 01 Mar 2016 13:28:18 -0000

--- v67
+++ v68
@@ -38,9 +38,7 @@

 * [The extended Metropolis sampler](http://sippi.sourceforge.net/htmldoc/chapPosterior.html#sec_extendedmetropolis). 
 This is the primary algorithm in SIPPI as it allow sampling the solution to non-linear inverse problems, using any combination of all the available a priori models.
-
-* [Parallel tempering](http://sippi.sourceforge.net/htmldoc/sec_tempering.html).
-The extended Metropolis algorithm can be used with the Parallel Tempering algorithm.
+It can be run using both [Parallel tempering](http://sippi.sourceforge.net/htmldoc/sec_tempering.html) and [Simulated Annealing](http://sippi.sourceforge.net/htmldoc/sec_simanneal.html).

 * [Rejection sampling](http://sippi.sourceforge.net/htmldoc/chapPosterior.html#sec_rejection). 
 Can handle the same prior models as the extended Metropolis algorithm, but it is only usable for very low dimensional inverse problems.