Calculate smallest eigenvalues

stefanv · stefanv · commit 1e6fc6488e91 · 2024-07-05T12:07:25.000-07:00
diff --git a/advanced/scipy_sparse/examples/lobpcg_sakurai.py b/advanced/scipy_sparse/examples/lobpcg_sakurai.py
@@ -45,7 +45,7 @@ def sakurai(n):
 data = []
 tt = time.time()
 eigs, vecs, resnh = sp.sparse.linalg.lobpcg(
-    A, X, B, tol=1e-6, maxiter=500, retResidualNormsHistory=1
+    A, X, B, tol=1e-6, largest=False, maxiter=500, retResidualNormsHistory=1,
 )
 data.append(time.time() - tt)
 print("Results by LOBPCG for n=" + str(n))

Original file line number	Diff line number	Diff line change
`@@ -45,7 +45,7 @@ def sakurai(n):`
`45`	`45`	`data = []`
`46`	`46`	`tt = time.time()`
`47`	`47`	`eigs, vecs, resnh = sp.sparse.linalg.lobpcg(`
`48`		`- A, X, B, tol=1e-6, maxiter=500, retResidualNormsHistory=1`
	`48`	`+ A, X, B, tol=1e-6, largest=False, maxiter=500, retResidualNormsHistory=1,`
`49`	`49`	`)`
`50`	`50`	`data.append(time.time() - tt)`
`51`	`51`	`print("Results by LOBPCG for n=" + str(n))`