Add block_tt_id: learn n functions simultaneously#3
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…ructure Implements block_tt_id<T>, a variant of tt_id that learns n functions at once by carrying a function index alpha at the moving sweep center. The single output TensorTrain has one "fat" core at the center site with local dim n*d_center; all other cores have normal shape [r, d, r']. Shared Iset/Jset are kept alpha-free by placing alpha on the right in the right sweep (row ID on M[i,(alpha,j)]) and on the left in the left sweep (col ID on M[(alpha,i),j]). Also adds test_block_tt_id.cpp with 4 test cases covering accuracy, fat-core shape, n=1 degeneracy, and bond-dimension efficiency. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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Implements block_tt_id, a variant of tt_id that learns n functions at once by carrying a function index alpha at the moving sweep center.
The single output TensorTrain has one "fat" core at the center site with local dim n*d_center; all other cores have normal shape [r, d, r']. Shared Iset/Jset are kept alpha-free by placing alpha on the right in the right sweep (row ID on M[i,(alpha,j)]) and on the left in the left sweep (col ID on M[(alpha,i),j]).
Also adds test_block_tt_id.cpp with 4 test cases covering accuracy, fat-core shape, n=1 degeneracy, and bond-dimension efficiency.