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Titlebook: Discovering Mathematics with Maple; An interactive explo Roelof J. Stroeker,Johan F. Kaashoek Textbook 1999 Springer Basel AG 1999 Algebra.

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书目名称Discovering Mathematics with Maple
副标题An interactive explo
编辑Roelof J. Stroeker,Johan F. Kaashoek
视频video
图书封面Titlebook: Discovering Mathematics with Maple; An interactive explo Roelof J. Stroeker,Johan F. Kaashoek Textbook 1999 Springer Basel AG 1999 Algebra.
描述his book grew out of the wish to let students of econometrics get acquainted T with the powerful techniques of computer algebra at an early stage in their curriculum. As no textbook available at the time met our requirements as to content and presentation, we had no other choice than to write our own course material. The try-out on a group of 80 first year students was not without success, and after adding some necessary modifications, the same material was presented to a new group of students of similar size the year after. Some more adjustments were made, and the final result now lies before you. Working with computer algebra packages like Derive, Mathematica, and Maple over many years convinced us of the favourable prospects of computer algebra as a means of improving the student‘s understanding of the difficult concepts on which mathematical techniques are often based. Moreover, advanced mathematical ed­ ucation, be it for mathematics itself or for mathematical statistics, operations research and other branches of applied mathematics, can greatly profit from the large amount of non-trivial mathematical knowledge that is stored in a computer algebra system. Admittedly, the fact
出版日期Textbook 1999
关键词Algebra; Calculation; Computeralgebra; Counting; STATISTICA; Variable; calculus; computer algebra; computer
版次1
doihttps://doi.org/10.1007/978-3-0348-8726-7
isbn_softcover978-3-7643-6091-7
isbn_ebook978-3-0348-8726-7
copyrightSpringer Basel AG 1999
The information of publication is updating

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978-3-7643-6091-7Springer Basel AG 1999
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Strategies for Knowledge Elicitation be focused on the abstract structure of vector spaces and linear mappings (or linear transformations) between them. Vectors—the elements of a vector space—do not need to be ordered lists of numbers, polynomials can also be viewed as vectors. Of course, matrices continue to play a prominent role, na
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