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Titlebook: Maple V Programming Guide; for Release 5 M. B. Monagan,K. O. Geddes,S. M. Vorkoetter Textbook 1998Latest edition Waterloo Maple Inc. 1998 M

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31#
發(fā)表于 2025-3-27 00:36:59 | 只看該作者
Programming with Maple Graphics,ators, or functions, along with information about domains and possibly ranges. In all cases, the graphic commands allow for the setting of options, specifying such attributes as coloring, shading, or axes style.
32#
發(fā)表于 2025-3-27 01:26:23 | 只看該作者
33#
發(fā)表于 2025-3-27 06:00:04 | 只看該作者
The Maple Language,bine words into sentences; syntax is grammar, and is purely mechanical. Semantics is the extra information or meaning that syntax cannot capture, and determines what Maple does when it receives a command.
34#
發(fā)表于 2025-3-27 09:50:26 | 只看該作者
Input and Output,equest input directly from the user and/or present output directly to the user. To meet these needs, Maple provides a comprehensive collection of input and output (I/O) commands. The . is the term which refers to these commands as a group.
35#
發(fā)表于 2025-3-27 16:13:06 | 只看該作者
the statistical upper and lower normal limits as between plus and minus two standard deviations (± 2SD). This means that about 2% of a normal population will be assessed as abnormally large and around 2% abnormally small with respect to the parameter assessed. In this way, the presentation throughout the book978-1-4471-1846-6978-1-4471-1844-2
36#
發(fā)表于 2025-3-27 18:04:46 | 只看該作者
37#
發(fā)表于 2025-3-28 00:28:00 | 只看該作者
M. B. Monagan,K. O. Geddes,K. M. Heal,G. Labahn,S. M. Vorkoettertical upper and lower normal limits as between plus and minus two standard deviations (± 2SD). This means that about 2% of a normal population will be assessed as abnormally large and around 2% abnormally small with respect to the parameter assessed. In this way, the presentation throughout the book
38#
發(fā)表于 2025-3-28 03:09:18 | 只看該作者
39#
發(fā)表于 2025-3-28 07:49:45 | 只看該作者
40#
發(fā)表于 2025-3-28 11:11:12 | 只看該作者
M. B. Monagan,K. O. Geddes,K. M. Heal,G. Labahn,S. M. Vorkoettertical upper and lower normal limits as between plus and minus two standard deviations (± 2SD). This means that about 2% of a normal population will be assessed as abnormally large and around 2% abnormally small with respect to the parameter assessed. In this way, the presentation throughout the book
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