Sprache: Englisch
Verlag: Cambridge University Press, 2016
ISBN 10: 110711666X ISBN 13: 9781107116665
Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USA
Hardcover. Zustand: Fair. No Jacket. Former library book; Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
Sprache: Englisch
Verlag: Cambridge University Press, 2015
ISBN 10: 110711666X ISBN 13: 9781107116665
Anbieter: PBShop.store US, Wood Dale, IL, USA
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: Cambridge University Press, 2015
ISBN 10: 110711666X ISBN 13: 9781107116665
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 74,03
Anzahl: 1 verfügbar
In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 74,36
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 436 pages. 10.00x7.00x1.00 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 105,25
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 436 pages. 10.00x7.00x1.00 inches. In Stock.
Gebunden. Zustand: New. This introduction is suitable for someone who has little or no background in Mathematica (R), or who has some experience using other languages such as C, Java, or Perl. Starting from first principles, this example-driven text contains material from discipli.
Sprache: Englisch
Verlag: Cambridge University Press Dez 2015, 2015
ISBN 10: 110711666X ISBN 13: 9781107116665
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - Essentials of Programming in Mathematica provides an introduction suitable for readers with little or no background in the language as well as for those with some experience using programs such as C, Java, or Perl. The author, an established authority on Mathematica programming, has written an example-driven text that covers the language from first principles, as well as including material from natural language processing, bioinformatics, graphs and networks, signal analysis, geometry, computer science, and many other applied areas. The book is appropriate for self-study or as a text for a course in programming in computational science. Readers will benefit from the author's tips, which provide insight and suggestions on small and large points. He also provides more than 350 exercises from novice through to advanced level with all of the solutions available online.