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_a10.1007/978-3-540-76786-2 _2doi |
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_aDatatype-Generic Programming _h[electronic resource] : _bInternational Spring School, SSDGP 2006, Nottingham, UK, April 24-27, 2006, Revised Lectures / _cedited by Roland Backhouse, Jeremy Gibbons, Ralf Hinze, Johan Jeuring. |
250 | _a1st ed. 2007. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2007. |
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300 |
_aXI, 372 p. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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490 | 1 |
_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v4719 |
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505 | 0 | _aDatatype-Generic Programming -- Comparing Approaches to Generic Programming in Haskell -- Generic Programming, Now! -- Generic Programming with Dependent Types -- Generic Programming in ?mega -- Revealing the X/O Impedance Mismatch. | |
520 | _aA leitmotif in the evolution of programming paradigms has been the level and extent of parametrisation that is facilitated - the so-called genericity of the paradigm. The sorts of parameters that can be envisaged in a programming language range from simple values, like integers and ?oating-point numbers, through structured values, types and classes, to kinds (the type of types and/or classes).Datatype-generic programming is about parametrising programsby the structure of the data that they manipulate. Toappreciatethe importanceofdatatypegenericity,oneneedlooknofurther than the internet. The internet is a massive repository of structured data, but the structure is rarely exploited. For example, compression of data can be much more e?ective if its structure is known, but most compression algorithms regard the input data as simply a string of bits, and take no account of its internal organisation. Datatype-genericprogrammingisaboutexploitingthestructureofdatawhen it is relevant and ignoring it when it is not. Programming languages most c- monly used at the present time do not provide e?ective mechanisms for do- menting and implementing datatype genericity. This volume is a contribution towards improving the state of the art. The emergence of datatype genericity can be traced back to the late 1980s. | ||
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_aSoftware engineering. _94138 |
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_aComputer programming. _94169 |
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650 | 0 |
_aCompilers (Computer programs). _93350 |
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650 | 0 |
_aArtificial intelligence _xData processing. _921787 |
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650 | 0 |
_aComputer science. _99832 |
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650 | 1 | 4 |
_aSoftware Engineering. _94138 |
650 | 2 | 4 |
_aProgramming Techniques. _9137135 |
650 | 2 | 4 |
_aCompilers and Interpreters. _931853 |
650 | 2 | 4 |
_aData Science. _934092 |
650 | 2 | 4 |
_aComputer Science Logic and Foundations of Programming. _942203 |
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_aBackhouse, Roland. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9137136 |
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700 | 1 |
_aGibbons, Jeremy. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9137137 |
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_aHinze, Ralf. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9137138 |
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700 | 1 |
_aJeuring, Johan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9137139 |
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710 | 2 |
_aSpringerLink (Online service) _9137140 |
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773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9783540767855 |
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_iPrinted edition: _z9783540845935 |
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_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v4719 _9137141 |
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