From 06d1a482088a5b81c55d48cd2acbba405cea3326 Mon Sep 17 00:00:00 2001
From: Johanna <johanna@zijderveld.de>
Date: Tue, 7 May 2024 15:00:19 +0200
Subject: [PATCH] change the optimizer kwargs to make convergence behave better
---
docs/source/hubbard_1d.md | 2 +-
examples/1d_hubbard_totalenergy.ipynb | 2 +-
2 files changed, 2 insertions(+), 2 deletions(-)
diff --git a/docs/source/hubbard_1d.md b/docs/source/hubbard_1d.md
index d21c43f..8f1a7ea 100644
--- a/docs/source/hubbard_1d.md
+++ b/docs/source/hubbard_1d.md
@@ -91,7 +91,7 @@ def compute_sol(U, h_0, nk, filling=2):
}
guess = pymf.generate_guess(frozenset(h_int), len(list(h_0.values())[0]))
full_model = pymf.Model(h_0, h_int, filling)
- mf_sol = pymf.solver(full_model, guess, nk=nk)
+ mf_sol = pymf.solver(full_model, guess, nk=nk, optimizer_kwargs={"M":0})
return pymf.add_tb(h_0, mf_sol)
diff --git a/examples/1d_hubbard_totalenergy.ipynb b/examples/1d_hubbard_totalenergy.ipynb
index 30492b2..5464fdc 100644
--- a/examples/1d_hubbard_totalenergy.ipynb
+++ b/examples/1d_hubbard_totalenergy.ipynb
@@ -124,7 +124,7 @@
" }\n",
" guess = pymf.generate_guess(frozenset(h_int), len(list(h_0.values())[0]))\n",
" full_model = pymf.Model(h_0, h_int, filling)\n",
- " mf_sol = pymf.solver(full_model, guess, nk=nk)\n",
+ " mf_sol = pymf.solver(full_model, guess, nk=nk, optimizer_kwargs={\"M\":0})\n",
" return pymf.add_tb(h_0, mf_sol)\n",
"\n",
"\n",
--
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