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| author | Haochen Wu <wuhaochen42@gmail.com> | 2015-10-17 17:44:48 -0700 |
|---|---|---|
| committer | Haochen Wu <wuhaochen42@gmail.com> | 2015-10-17 17:44:48 -0700 |
| commit | d2f5b5179b2ec6f7702360fdeca30cff4a369200 (patch) | |
| tree | fc32dae129c0264063491630961bd83fac7bc973 | |
| parent | 3e936486237ee7dcaf4cf3f3c8d0629e2c5f3539 (diff) | |
| download | networkx-d2f5b5179b2ec6f7702360fdeca30cff4a369200.tar.gz | |
fix type issue
| -rw-r--r-- | networkx/linalg/algebraicconnectivity.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/networkx/linalg/algebraicconnectivity.py b/networkx/linalg/algebraicconnectivity.py index b40fe6f1..de4ef0bf 100644 --- a/networkx/linalg/algebraicconnectivity.py +++ b/networkx/linalg/algebraicconnectivity.py @@ -244,7 +244,7 @@ def _tracemin_fiedler(L, X, normalized, tol, method): W -= (W.T * X * X.T).T project(W) # Compute the diagonal of P * L * P as a Jacobi preconditioner. - D = L.diagonal() + D = L.diagonal().astype(float) D += 2. * (asarray(X) * asarray(W)).sum(axis=1) D += (asarray(X) * asarray(X * (W.T * X))).sum(axis=1) D[D < tol * Lnorm] = 1. |