v3.3.1

JUDI v3.3.1

Diff since v3.3.0

Merged pull requests:

• Simsources (#179) (@mloubout)

v3.3.0

JUDI v3.3.0

Diff since v3.2.3

Closed issues:

• Modeling LSRTM - Devito tutorial (#180)
• The final result cannot be saved in h5 file？ (#184)

Merged pull requests:

• Elastic forward (#183) (@mloubout)

v3.2.3

JUDI v3.2.3

Diff since v3.2.2

Closed issues:

• I tried FWI with JUDI on the actual marine data, but my gradient was always 0 (#176)

Merged pull requests:

• Init openacc ctx at init to avoid cuda conflicts (#178) (@mloubout)

v3.2.2

JUDI v3.2.2

Diff since v3.2.1

Closed issues:

• RTM in frequency domain result in error (#164)
• judiTopmute ERROR: n not defined (#165)
• Failed to run 2D Modeling Quickstart from the website (#171)
• ERROR: UndefVarError: SLIM_optim not defined (#174)

Merged pull requests:

• Fix tutorial to use the correct squared slowness and remove JUDI4Flux info (#162) (@ziyiyin97)
• fix topmute; add associated tests (#166) (@ziyiyin97)

v3.2.1

JUDI v3.2.1

Diff since v3.2.0

Merged pull requests:

• Derivative of the Jacaobian w.r.t to the source with rrule (#152) (@mloubout)
• CompatHelper: bump compat for SegyIO to 0.8, (keep existing compat) (#161) (@github-actions[bot])

v3.2.0

JUDI v3.2.0

Diff since v3.1.13

Closed issues:

• overload DepthScaling and Topmute operators for PhysicalParameter? (#48)
• UndefVarError: backtracking_linesearch not defined (#159)

Merged pull requests:

• Illumination and precon (#151) (@mloubout)

v3.1.13

JUDI v3.1.13

Diff since v3.1.12

Closed issues:

• FWI: Dimension mismatch when limit_m=true (#156)

Merged pull requests:

• Fixes padding for limit_m (#157) (@mloubout)

v3.1.12

JUDI v3.1.12

Diff since v3.1.11

Merged pull requests:

• Optional misfit input (#149) (@mloubout)

v3.1.11

JUDI v3.1.11

Diff since v3.1.10

Merged pull requests:

• Generalize imaging condition (#148) (@mloubout)

v3.1.10

JUDI v3.1.10

Diff since v3.1.9

Merged pull requests:

• Added possibility to set dt,t to OOC Geometry (#139) (@kerim371)
• fix return op for gradient (#147) (@mloubout)