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Overdetermined fit (decreased Pade order)

This commit is contained in:
Nuwan Yapa 2026-06-05 12:26:45 -04:00
parent 99be9bdb78
commit d16f6c7660
1 changed files with 2 additions and 2 deletions
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4
calculations/EC+ACCC.jl
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@ -27,7 +27,7 @@ training_E = EC.training_E
quick_extrapolate(c) = argmin(real, get_extrapolated_evals(EC.H0_EC, EC.H1_EC, EC.N_EC, c, 0)) quick_extrapolate(c) = argmin(real, get_extrapolated_evals(EC.H0_EC, EC.H1_EC, EC.N_EC, c, 0))
n_EC = 10 n_EC = 30
EC_c = (1.8 .+ rand(n_EC)) .+ 0.001im .* (-2 .+ 4 * rand(n_EC)) EC_c = (1.8 .+ rand(n_EC)) .+ 0.001im .* (-2 .+ 4 * rand(n_EC))
target_c = 0.0 : 0.2 : 1.2 target_c = 0.0 : 0.2 : 1.2
@ -47,7 +47,7 @@ println("Estimated c0 = ", c0)
EC_k = alt_sqrt.(EC_E) EC_k = alt_sqrt.(EC_E)
order::Int = ceil((length(EC_c) - 1) / 2) # order of the Pade approximant order::Int = 5 # order of the Pade approximant
# Solve coefficients as a linear system # Solve coefficients as a linear system
M_left_element(c, i) = alt_sqrt(c - c0)^i M_left_element(c, i) = alt_sqrt(c - c0)^i