Dictionary of Computer Science, Engineering and TechnologyPhilip A. Laplante CRC Press, 2017. gada 19. dec. - 560 lappuses A complete lexicon of technical information, the Dictionary of Computer Science, Engineering, and Technology provides workable definitions, practical information, and enhances general computer science and engineering literacy. It spans various disciplines and industry sectors such as: telecommunications, information theory, and software and hardware systems. If you work with, or write about computers, this dictionary is the single most important resource you can put on your shelf. The dictionary addresses all aspects of computing and computer technology from multiple perspectives, including the academic, applied, and professional vantage points. Including more than 8,000 terms, it covers all major topics from artificial intelligence to programming languages, from software engineering to operating systems, and from database management to privacy issues. The definitions provided are detailed rather than concise. Written by an international team of over 80 contributors, this is the most comprehensive and easy-to-read reference of its kind. If you need to know the definition of anything related to computers you will find it in the Dictionary of Computer Science, Engineering, and Technology. |
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Citi izdevumi - Skatīt visu
Dictionary of Computer Science, Engineering and Technology Philip A. Laplante Ierobežota priekšskatīšana - 2017 |
Dictionary of Computer Science, Engineering and Technology Philip A. Laplante Ierobežota priekšskatīšana - 2000 |
Bieži izmantoti vārdi un frāzes
algorithm analysis application architecture attributes binary bits block Boolean byte cache called color compiler components convolutional code database defined detection device disk distribution element encoding error evaluation example execution filter finite floating point formal function fuzzy set genetic algorithm graph Hamming distance hardware hash hierarchy implementation input instruction integer interface linear logic machine main memory matrix measure method module multiple neural network neuron node object object-oriented object-oriented programming operand operating system optical optimization output parallel parameter performed pixel problem processor programming language pushdown automaton quantization queue random random variable reference representation represented result robot rule sampling sequence signal significand source code space specific storage stored structure subroutine surface symbols technique transaction transform tree Turing machine typically unit usually variable vector vector quantization