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Scientific computing: an introductory survey Michael T. Heath.

by Heath, Michael T.

Edition: 2nd ed. Publisher: Boston : McGraw-Hill, c2002Online access: Publisher description | Table of contents Availability: Items available for loan: Central Library (CL)Call number: 004.165 HEA (1).
The handbook of software for engineers and scientists / editor-in-chief, Paul W. Ross.

by Ross, Paul W, 1938-.

Publisher: Boca Raton, Fla. : [New York] : CRC Press ; IEEE Press, c1996Other title: Software for engineers and scientists.Online access: Publisher description Availability: Items available for loan: Military College of Signals (MCS)Call number: 005.30245,HAN (1).
Modern software tools for scientific computing / Erlend Arge, Are Magnus Bruaset, Hans Petter Langtangen, editors.

by Arge, Erlend, 1960- | Bruaset, A. M | Langtangen, Hans Petter, 1962-.

Publisher: Mumbai Jaico publishing house 2004Availability: Items available for loan: Military College of Signals (MCS)Call number: 005.1,MOD (1).
Computing for engineers and scientists with Fortran 77 / Daniel D. McCracken.

by McCracken, Daniel D.

Publisher: New York : Wiley, c1984Availability: Items available for loan: Military College of Signals (MCS)Call number: 005.133,MCC (1).
Introduction to Python for Science and Engineering by David J. Pine.

by Pine, David J [author.].

Material type: Text Text; Format: print ; Literary form: Not fiction Publisher: Boca Raton, Florida : CRC Press, [2019]Availability: No items available : Checked out (1).
Learning scientific programming with Python / Christian Hill.

by Hill, Christian, 1974- [author.].

Edition: Second edition.Material type: Text Text; Format: available online remote; Literary form: Not fiction Publisher: New York : Cambridge University Press, 2020Availability: Items available for loan: School of Civil and Environmental Engineering (SCEE)Call number: 005.133 HIL (1).
Data-driven modeling & scientific computation : methods for complex systems & big data / J. Nathan Kutz, Department of Applied Mathematics, University of Washington.

by Kutz, Jose Nathan [author.].

Edition: First edition.Material type: Text Text; Format: print ; Literary form: Not fiction Publisher: Oxford : Oxford University Press, 2013Other title: Data-driven modeling and scientific computation.Availability: Items available for loan: School of Mechanical & Manufacturing Engineering (SMME)Call number: 515.353 KUT (1).
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