000 | 01978nam a2200349 i 4500 | ||
---|---|---|---|
001 | CR9781009070218 | ||
003 | UkCbUP | ||
005 | 20240912201340.0 | ||
006 | m|||||o||d|||||||| | ||
007 | cr|||||||||||| | ||
008 | 210326s2022||||enk o ||1 0|eng|d | ||
020 | _a9781009070218 (ebook) | ||
020 | _z9781316513583 (hardback) | ||
040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
050 | 4 |
_aQA76.9.M35 _bM38 2022 |
|
082 | 0 | 4 |
_a004.0151 _223 |
245 | 0 | 0 |
_aMathematics for future computing and communications / _cedited by Liao Heng, Bill McColl. |
264 | 1 |
_aCambridge : _bCambridge University Press, _c2022. |
|
300 |
_a1 online resource (x, 387 pages) : _bdigital, PDF file(s). |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
500 | _aTitle from publisher's bibliographic system (viewed on 03 Dec 2021). | ||
520 | _aFor 80 years, mathematics has driven fundamental innovation in computing and communications. This timely book provides a panorama of some recent ideas in mathematics and how they will drive continued innovation in computing, communications and AI in the coming years. It provides a unique insight into how the new techniques that are being developed can be used to provide theoretical foundations for technological progress, just as mathematics was used in earlier times by Turing, von Neumann, Shannon and others. Edited by leading researchers in the field, chapters cover the application of new mathematics in computer architecture, software verification, quantum computing, compressed sensing, networking, Bayesian inference, machine learning, reinforcement learning and many other areas. | ||
650 | 0 |
_aComputer science _xMathematics. |
|
650 | 0 |
_aCommunication _xMathematics. |
|
700 | 1 |
_aHeng, Liao, _eeditor. |
|
700 | 1 |
_aMcColl, Bill, _eeditor. |
|
776 | 0 | 8 |
_iPrint version: _z9781316513583 |
856 | 4 | 0 | _uhttps://doi.org/10.1017/9781009070218 |
942 |
_2ddc _cEB |
||
999 |
_c9025 _d9025 |