short journal names

[lectures/latex.git] / bibdb / bibdb.bib

diff --git a/bibdb/bibdb.bib b/bibdb/bibdb.bib
index 0474d29..ecc06aa 100644 (file)
--- a/bibdb/bibdb.bib
+++ b/bibdb/bibdb.bib
@@ -6186,6 +6186,49 @@
   doi =          "10.1063/1.466486",
 }
 
+@Article{jacobi1845,
+  author =       "C. G. J. Jacobi",
+  title =        "Ueber eine neue Auflösungsart der bei der Methode der
+                 kleinsten Quadrate vorkommenden lineären Gleichungen",
+  journal =      "Astronom. Nachr.",
+  volume =       "22",
+  number =       "20",
+  publisher =    "WILEY-VCH Verlag",
+  ISSN =         "1521-3994",
+  URL =          "http://dx.doi.org/10.1002/asna.18450222002",
+  doi =          "10.1002/asna.18450222002",
+  pages =        "297--306",
+  year =         "1845",
+}
+
+@Article{jacobi1846,
+  author =       "C. G. J. Jacobi",
+  title =        "{\"U}ber ein leichtes Verfahren die in der Theorie der
+                 {S}{\"a}cularst{\"o}rungen vorkommenden Gleichungen
+                 numerisch aufzul{\"o}sen",
+  journal =      "J. Reine und Angew. Math.",
+  volume =       "1846",
+  number =       "30",
+  URL =          "http://www.degruyter.com/view/j/crll.1846.issue-30/crll.1846.30.51/crll.1846.30.51.xml",
+  doi =          "doi:10.1515/crll.1846.30.51",
+  pages =        "51--94",
+  year =         "1846",
+}
+
+@Article{sleijpen96,
+  author =       "G. G. Sleijpen and H. {Van der Vorst}",
+  title =        "A Jacobi¿Davidson Iteration Method for Linear
+                 Eigenvalue Problems",
+  journal =      "SIAM Journal on Matrix Analysis and Applications",
+  volume =       "17",
+  number =       "2",
+  pages =        "401--425",
+  year =         "1996",
+  doi =          "10.1137/S0895479894270427",
+  URL =          "http://epubs.siam.org/doi/abs/10.1137/S0895479894270427",
+  eprint =       "http://epubs.siam.org/doi/pdf/10.1137/S0895479894270427",
+}
+
 @Article{sleijpen00,
   author =       "G. Sleijpen and H. {Van der Vorst}",
   title =        "A Jacobi--Davidson Iteration Method for Linear