APL Programs for the Mathematics Classroom - download pdf or read online

By Norman D. Thomson

ISBN-10: 0387970029

ISBN-13: 9780387970028

ISBN-10: 1461236681

ISBN-13: 9781461236689

The suggestion for this publication grew out of proposals on the APL86 con­ ference in Manchester which resulted in the initiation of the I-APL (International APL) undertaking, and during it to the supply of an interpreter which might convey some great benefits of APL in the technique of gigantic numbers of college young children and their academics. the incentive is that when institution academics have glimpsed the probabilities, there'll be a spot for an "ideas" booklet of brief courses on the way to allow beneficial algorithms to be introduced speedily into school room use, and even perhaps to be written and constructed in entrance of the category. A test of the contents will express how the conciseness of APL makes it attainable to deal with a tremendous diversity of subject matters in a small variety of pages. there's clearly a level of idiosyncrasy within the number of themes - the choice i've got made displays algo­ rithms that have both proved necessary in genuine paintings, or that have stuck my mind's eye as applicants for demonstrating the worth of APL as a mathematical notation. the place acceptable, notes at the courses are meant to teach the naturalness with which APL bargains with the math involved, and to estab­ lish that APL isn't, as is usually meant, an unreadable lan­ guage written in a extraordinary personality set.

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Example text

1. Determinants The determinant of a square matrix R is given by the following algorithm which obtains the result as the product of the successive topmost leading diagonal items which appear as the original matrix is reduced by progressively replacing it with the outer product of its leading row and column divided by the current topmost diagonal element. 4. Polynomials In the examples in this section a polynomial is represented by a vector of its coefficients in descending power order. Coefficients of omitted powers must be represented by O's.

Since L*R is likely to be evaluated within the machine as *RxeL, this test is valid only if you trust that the exponentiation and log routines are implemented using the full possible precision. If not, here is a program you can use which calculates the successive powers of 2 (line 3) stopping whenever the difference between 2*T and (2*T)-1 is not computed as 1. 2. 13. Counting Series Forwards and Backwards Another comparison which demonstrates that the arithmetical precision on any computer is finite involves taking a series which has a large number of very small terms in its tail, and observing the difference between counting the terms starting from the head and then from the tail.

Determinants The determinant of a square matrix R is given by the following algorithm which obtains the result as the product of the successive topmost leading diagonal items which appear as the original matrix is reduced by progressively replacing it with the outer product of its leading row and column divided by the current topmost diagonal element. 4. Polynomials In the examples in this section a polynomial is represented by a vector of its coefficients in descending power order. Coefficients of omitted powers must be represented by O's.

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APL Programs for the Mathematics Classroom by Norman D. Thomson


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