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

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 supposing the first product in view is IBM's APL2 as carried out on mainframe, workstation and RS/6000, the language fea­ tures lined proportion enormous universal floor with APL *PLUS II and Oyalog APL. this can be a ebook approximately talents instead of wisdom, and an acquaintance with a few number of APL at the reader's half is believed from the beginning. it really is designed to be learn as a continual textual content, interspersed with exer­ cises designed to provide gradually deeper perception into what the authors conceive because the positive aspects that have the best impression on programming options. it can even be compatible as a text-book for a moment path in APL2, even supposing adventure means that such a lot programming language studying is now through self­ research, in order that this quantity is likely to offer follow-up studying to extra user-friendly texts reminiscent of "APL2 at a look" by means of Brown, Pakin and Polivka. fabric is mentioned extra informally than in a language handbook - during this ebook textual bulk is in percentage to trouble and value instead of to the level of technical info. certainly, a few APL2 extensions should not coated in any respect the place the technicalities pose no nice difficulties in figuring out and will be effortlessly assimilated from the language manuals.

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Since the result of format is always simple iliA provides a guaranteed means of denesting arrays. 5 for UPRANK) transforms any array A into a simple character matrix. 2 Sorting Grade-up and grade-down may take a left argument provided that the right argument is a simple non-scalar character array. In this case the left argument defines an alphabet or collating sequence. Where the collating sequence is a simple vector, it defines "alphabetical order" in the normal usage of that term. For example: 44 COW BEE YAK CAT SOW 2 q BEE CAT COW SOW YAK APL2 IN DEPTH M1q+5 3p'COWBEEYAKCATSOW' M1q 'ABCEKOSTWY'4M1q 5 3 M1Q['ABCEKOSTWY'4M1q;] The collating sequence may have rank greater than one, in which case it is the last axis which is the most significant.

Contrast this with t (first) which selects the leading item by removing a level of nesting if one exists: t(23p16)('ABCD') 2 3 456 pt(23p16)('ABCD') 2 3 m( 1 ~=A) / ' A+cA' makes A into a scalar if it is simple and non-scalar, otherwise it does nothing. g. pit 0, gives a VALUE ERROR. There are by contrast situations in which scalars are an embarrassment on account of the floating scalar rule, and it is desirable to eliminate the possibility that an array has empty shape. Illustration : Descalarlzation 1/S makes S into a one-item vector if it is a scalar, otherwise does nothing.

To achieve variation between columns a pair of integers can be provided for each column in the data right argument. " A simple character vector left argument acts like a template or picture describing where the numeric data is to be placed when it is converted to its character representation. This character vector contains both character digits which determine the character representation of the numbers, and also "decorators" which are characters to be displayed in addition to the numbers. The character vector should be viewed as a set of fields, one for each column of the array right argument with each field containing character digits and possibly decorators.

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