APL2 in Depth by Norman D. Thomson, Raymond P. Polivka (auth.)

By Norman D. Thomson, Raymond P. Polivka (auth.)

This publication is designed for individuals with a operating wisdom of APL who want to bring up their fluency within the wide selection of additional amenities provided by means of second-generation APL items. even though the first product in view is IBM's APL2 as applied on mainframe, laptop and RS/6000, the language fea­ tures lined proportion enormous universal flooring with APL *PLUS II and Oyalog APL. it is a publication approximately talents instead of wisdom, and an acquaintance with a few number of APL at the reader's half is thought from the beginning. it's designed to be learn as a continual textual content, interspersed with exer­ cises designed to provide steadily deeper perception into what the authors conceive because the gains that have the best influence on programming recommendations. it should even be appropriate as a text-book for a moment path in APL2, even if adventure means that so much programming language studying is now by way of self­ examine, in order that this quantity is prone to offer follow-up analyzing to extra trouble-free texts corresponding to "APL2 at a look" by means of Brown, Pakin and Polivka. fabric is mentioned extra informally than in a language handbook - during this booklet textual bulk is in percentage to trouble and value instead of to the level of technical info. certainly, a few APL2 extensions aren't lined in any respect the place the technicalities pose no nice difficulties in realizing and will be effectively assimilated from the language manuals.

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In structure terms indexing cross-sections arrays whereas pick selects items or subarrays from arrays. For all simple vectors V it follows from the floating scalar rule that V[ 1] and 1 =>V are identical, that is there is no need to distinguish an item and the cell containing it. With nested arrays however this distinction becomes one of crucial importance. 2S 1. 1 Scatter Indexing This is a versatile facility which nevertheless requires some care in its handling. g. A can be (3 2)(2 3)OA 10 11 6 7 The name "scatter indexing" derives from the fact that it is possible to consider the items of an argument such as ( 3 2) ( 2 3) as individual indices, and thereby select items one by one using the each operator.

In all cases the shape of the left argument must match the dimension along which the partition is to occur. 1 1 3 3 7c2 3 5p'ASCDE' AB CD E AS CD E AB CD E AS CD E AB CD E AB CD E In the next example, the effect of two successive partitions is to reduce a 2x6x5 array to a 2x4x3 array of vectors: 2 2 3 3 4c[2]1 1 3 3 7c2 6 5p'ABCDE' CD E CD CD E E CD CD E E CD E AS AB AS AS AS AB CD CD CD CD CD CD AB AS AB AS AB AS E E E E E E Partition applies in the same way to numeric right arguments: 1 2 2c[1]3 5pl15 12345 6 11 7 12 8 13 9 14 10 15 Items in the left argument must be non-negative, otherwise a DOMAIN ERROR occurs.

4 Index of The indexing functions applied to a vector take an index and select the matching data item. Index of does the opposite in the sense that it takes a data item and returns the index. If the data item is not found within the vector an integer one greater than the length of the vector is returned, and if the data item appears several times within the vector, the value returned is the index of the first occurrence in the vector. The left argument of dyadic t can be thought of as an alphahet in which the items of the right argument have to be sought.

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