Add new point to improve extrapolation
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@ -9,9 +9,13 @@ println("No of threads = ", Threads.nthreads())
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atol = 10^-5
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atol = 10^-5
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maxevals = 10^5
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maxevals = 10^5
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training_c = [1.1, 0.9, 0.7, 0.5]
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extrapolating_c = 0.0 : 0.2 : 1.2
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training_ref = reverse([1.4750633616275919 - 0.0003021770706749637im
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training_ref = reverse([1.4750633616275919 - 0.0003021770706749637im
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1.9567078295375822 - 0.0007646829108872369im
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1.9567078295375822 - 0.0007646829108872369im
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2.4351117758403076 - 0.001281037843108658im])
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2.4351117758403076 - 0.001281037843108658im
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2.85])
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exact_ref = reverse([4.076662025307587-0.012709842443350328im,
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exact_ref = reverse([4.076662025307587-0.012709842443350328im,
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3.613318119833891-0.007335804709990623im,
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3.613318119833891-0.007335804709990623im,
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@ -85,9 +89,6 @@ display(test_evals)
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Es = n1s = l1s = n2s = l2s = mask1 = mask2 = T1 = T2 = V1_cache = V_relative_cache = V1 = V_relative = U = V2 = nothing
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Es = n1s = l1s = n2s = l2s = mask1 = mask2 = T1 = T2 = V1_cache = V_relative_cache = V1 = V_relative = U = V2 = nothing
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GC.gc()
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GC.gc()
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training_c = [1.1, 0.9, 0.7]
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extrapolating_c = 0.0 : 0.2 : 1.2
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exact = ComplexF64[]
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exact = ComplexF64[]
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training = ComplexF64[]
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training = ComplexF64[]
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extrapolated = ComplexF64[]
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extrapolated = ComplexF64[]
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