Lindsey Heagy 1e6ed86135 - parametrized layer ...

- parameterized block in layer inherits parametrized layer

2016-05-31 21:39:59 -07:00

..

DCIP

Merge branch 'dev' into ref/dev

2016-05-27 10:01:28 -07:00

EM

start of including primary fields derivs

2016-05-31 21:04:26 -07:00

Examples

Merge branch 'dev' into ref/dev

2016-05-27 11:10:39 -07:00

FLOW

Problem.Jvec, Problem.Jtvec, Problem.fields, DataMisfit, survey.dpred take a fields object f (not a solution vector, u)

2016-03-29 22:49:03 -07:00

Mesh

Merge branch 'dev' into dcip/dev

2016-05-17 23:26:17 -07:00

MT

import from ProblemFDEM in baseMT, fixed a missed real_or_imag --> component

2016-05-10 19:57:16 -07:00

Utils

Merge branch 'dev' into ref/dev

2016-05-27 10:01:28 -07:00

__init__.py

Bump version: 0.1.9 → 0.1.10

2016-03-23 13:04:18 -07:00

DataMisfit.py

f for fields in data misfit, directives etc. Previously, f was used in the InvProblem to be the function value for the objective function --> this has been renamed to phi

2016-03-31 09:28:48 -07:00

Directives.py

use phi_d_star, chifact in defining target misfit

2016-05-22 11:42:23 -07:00

Fields.py

updates to the time fields side of things as well

2015-06-01 16:27:31 -07:00

Inversion.py

remove mutable arguments.

2016-04-07 16:35:47 -07:00

InvProblem.py

f for fields in data misfit, directives etc. Previously, f was used in the InvProblem to be the function value for the objective function --> this has been renamed to phi

2016-03-31 09:28:48 -07:00

Maps.py

- parametrized layer

2016-05-31 21:39:59 -07:00

Models.py

initial commit of PropMap

2015-05-31 10:43:23 -07:00

Optimization.py

Merge branch 'feat/sparse-regularization' into patch/sparse-dcip

2016-04-06 14:53:45 -07:00

Problem.py

f for fields in data misfit, directives etc. Previously, f was used in the InvProblem to be the function value for the objective function --> this has been renamed to phi

2016-03-31 09:28:48 -07:00

PropMaps.py

fix bug in prop map linked derivs

2016-05-26 17:58:30 -07:00

Regularization.py

return a scipy sparse matrix for the deriv (a bit silly - it is dense, but nicer for multiplication). Init Regularization with a nP

2016-05-28 15:40:28 -07:00

Survey.py

Minor revisions + remove trailing white spaces

2016-04-06 22:29:57 -07:00

Tests.py

Bump version: 0.1.7 → 0.1.8 (+7 squashed commits)

2016-01-10 13:38:06 -08:00