sparse-ir-tutorial/_toc.yml at main · SpM-lab/sparse-ir-tutorial · GitHub

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format: jb-book
root: index
parts:
#- caption: Migration guide
  #chapters:
  #- file: src/migration.md
- caption: Basic theory
  chapters:
  - url: https://spm-lab.github.io/sparse-ir-doc/
    title: sparse-ir ecosystem overview
  - url: https://spm-lab.github.io/sparse-ir-doc/src/history_comparison.html
    title: "IR, DLR and MiniPole: history and comparison"
  - url: https://spm-lab.github.io/sparse-ir-doc/src/notation.html
    title: Notation and conventions
  - url: https://spm-lab.github.io/sparse-ir-doc/src/IR_py.html
    title: Intermediate representation (IR)
  - url: https://spm-lab.github.io/sparse-ir-doc/src/sparse_sampling_py.html
    title: Sparse sampling
  - url: https://spm-lab.github.io/sparse-ir-doc/src/DLR.html
    title: Discrete Lehmann representation
  - url: https://spm-lab.github.io/sparse-ir-doc/src/matsubarasum.html
    title: Summation over Matsubara axis
- caption: Reference
  chapters:
  - file: src/api
  - file: src/additional_material
- caption: Sample codes
  chapters:
  - file: src/transformation_py
  - file: src/sparse_sampling_demo_py
  - file: src/DLR_py
  - file: src/second_order_perturbation_py
  - file: src/GW_py
  - file: src/DMFT_IPT_py
  - file: src/FLEX_py
  - file: src/TPSC_py
  - file: src/eliashberg_holstein_py
  - file: src/orbital_magnetic_susceptibility_py
  - file: src/liechtenstein_py
- caption: Analytic continuation
  chapters:
  - file: src/analytic_continuation_py
  - file: src/spm_py
- caption: Sample codes (Julia)
  chapters:
  - file: src/transformation_jl
  - file: src/sparse_sampling_demo_jl
  - file: src/DLR_jl
  - file: src/DMFT_IPT_jl
  - file: src/FLEX_jl
  - file: src/BgG_jl
#- caption: Sample codes (Fortran)
  #chapters:
  #- file: src/second_order_perturbation_fort
- caption: Reference
  chapters:
  - file: src/citation.md
  - file: src/bibliography.md