v1.0.4

SparseIR v1.0.4

Diff since v1.0.3

v1.0.3

SparseIR v1.0.3

Diff since v1.0.2

v1.0.2

SparseIR v1.0.2

Diff since v1.0.1

v1.0.1

SparseIR v1.0.1

Diff since v1.0.0

v1.0.0

SparseIR.jl v1.0: optimal basis meets stable code

Today we are proud to release the first stable version of SparseIR.jl: a Julia package for optimal compression of many-body propagators on the imaginary (Euclidean) time axis as well as fast and stable diagrammatic computations.

Reasons to use IR basis functions and sparse sampling:

• The IR basis is a provably optimal basis for many-body propagators on the imaginary axis.
• The IR basis comes with a sparse, near-optimal set of imaginary times and frequencies on which diagrammatic equations can be solved.
• The IR basis has an intimate connection with the real-frequency axis: it is a powerful preprocessor and preconditioner for analytic continuation.

v0.97.2

SparseIR v0.97.2

Diff since v0.97.1

v0.97.1

SparseIR v0.97.1

Diff since v0.97.0

v0.97.0

SparseIR v0.97.0

Diff since v0.96.0

v0.96.0

SparseIR v0.96.0

Diff since v0.95.1

Closed issues:

• fermion/boson (#38)

Merged pull requests:

• Clean up imports and exports (#39) (@mwallerb)
• Rename from SPR to DLR (#40) (@shinaoka)

v0.95.1

SparseIR v0.95.1

Diff since v0.95.0

Closed issues:

• Composite/augmented basis issues (#35)