Elsevier's Dictionary of Computer Science and Mathematics: In English, German, French and Russian Review

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Elsevier's Dictionary of Computer Science and Mathematics: In English, German, French and Russian ReviewNot really outdated at all. This dictionary claims to be the first to cover both maths and computer science. You might think that for the latter, it is surely outdated. Come on, written in 1995, with the 1999 edition just being a reprint. Haven't the authors heard of Moore's Law?
Well, they have. And this book is still fresh and mostly relevant. The computing section of the book concentrates on the basic principles and algorithms of computing. The von Neumann architecture. Turing test. Sorting methods like heap sort and quicksort. And so on. The book does not really deal with the latest operating systems or commercial software packages or freeware.
It's really aimed at the researcher who is studying the basic unpinnings of computing. The major ideas that span operating systems and applications. Now in this regard, it could do with some updating. Namely in the field of cryptography. The Advanced Encryption Standard and other crypto methods did not exist at the book's writing. There has indeed been progress in this field.
Elsevier's Dictionary of Computer Science and Mathematics: In English, German, French and Russian OverviewThis dictionary covers both computer science and mathematics. Selection of the terms was based either on their significance or on their frequency of use according to authoritative encyclopedia, dictionaries or textbooks. The modern developments and contemporary changes in terminology have been included, as well as recently established terms.
Computer science terminology covers the theory of algorithms, programming languages, program development methods, data and file structures, operating systems, computer architecture, hardware, communications, information technology, system and application software, microprogramming, etc. The mathematical terminology embraces all the major branches from elementary to advanced subjects: arithmetic, algebra, geometry, set theory, discrete mathematics, logic, linear algebra, matrix algebra, calculus, differential equations, numerical methods, mathematical programming, modern algebra, computer algebra, category theory, applied mathematics, theory of automata and formal languages, theory of games, Boolean algebra, theory of graphs and so on.

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