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1. |
Record Nr. |
UNINA9910700902703321 |
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Titolo |
Scientific cooperation : mineral and earth sciences : protocol between the United States of America and China; signed at Reston and Beijing, July 27, 2006 |
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Pubbl/distr/stampa |
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[Washington, D.C.] : , : U.S. Dept. of State, , [2011?] |
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Descrizione fisica |
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1 online resource (10] pages) |
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Collana |
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Treaties and other international acts series ; ; 06-727 |
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Soggetti |
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Research - Law and legislation - United States |
Research - Law and legislation - China |
Minerals - Research - International cooperation |
Earth sciences - Research - International cooperation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from title screen (viewed on Sept. 21, 2011). |
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2. |
Record Nr. |
UNICAMPANIAVAN00113874 |
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Autore |
Gander, Walter |
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Titolo |
Learning MATLAB : a problem solving approach / Walter Gander |
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Pubbl/distr/stampa |
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Titolo uniforme |
Learning MATLAB : a problem solving approach |
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Descrizione fisica |
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XIV, 149 p. : ill. ; 24 cm |
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Soggetti |
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65-XX - Numerical analysis [MSC 2020] |
65Y15 - Packaged methods for numerical algorithms [MSC 2020] |
68-XX - Computer science [MSC 2020] |
68N15 - Theory of programming languages [MSC 2020] |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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This comprehensive and stimulating introduction to Matlab, a computer language now widely used for technical computing, is based on an introductory course held at Qian Weichang College, Shanghai University, in the fall of 2014.
Teaching and learning a substantial programming language aren’t always straightforward tasks. Accordingly, this textbook is not meant to cover the whole range of this high-performance technical programming environment, but to motivate first- and second-year undergraduate students in mathematics and computer science to learn Matlab by studying representative problems, developing algorithms and programming them in Matlab. While several topics are taken from the field of scientific computing, the main emphasis is on programming.
A wealth of examples are completely discussed and solved, allowing students to learn Matlab by doing: by solving problems, comparing approaches and assessing the proposed solutions. |
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