Comprehensive Mathematics for Computer Scientists 1 : Sets and Numbers, Graphs and Algebra, Logic and Machines, Linear Geometry (Second Edition)
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The work Comprehensive Mathematics for Computer Scientists 1 : Sets and Numbers, Graphs and Algebra, Logic and Machines, Linear Geometry (Second Edition) represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
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Comprehensive Mathematics for Computer Scientists 1 : Sets and Numbers, Graphs and Algebra, Logic and Machines, Linear Geometry (Second Edition)
Resource Information
The work Comprehensive Mathematics for Computer Scientists 1 : Sets and Numbers, Graphs and Algebra, Logic and Machines, Linear Geometry (Second Edition) represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Comprehensive Mathematics for Computer Scientists 1 : Sets and Numbers, Graphs and Algebra, Logic and Machines, Linear Geometry (Second Edition)
 Title remainder
 Sets and Numbers, Graphs and Algebra, Logic and Machines, Linear Geometry (Second Edition)
 Statement of responsibility
 by Guerino Mazzola, Gérard Milmeister, Jody Weissmann
 Subject

 Computational complexity
 Computer science
 Computer science
 Mathematical Logic and Formal Languages
 Computer Science
 Computational complexity
 Computer Science
 Discrete Mathematics in Computer Science
 Mathematics of Computing
 Applications of Mathematics
 Electronic resources
 Mathematics
 Mathematics
 Computer Science
 Computer science
 Language
 eng
 Summary
 This twovolume textbook Comprehensive Mathematics for Computer Scientists is a selfcontained comprehensive presentation of mathematics including sets, numbers, graphs, algebra, logic, grammars, machines, linear geometry, calculus, ODEs, and special themes such as neural networks, Fourier theory, wavelets, numerical issues, statistics, categories, and manifolds. The concept framework is streamlined but defining and proving virtually everything. The style implicitly follows the spirit of recent toposoriented theoretical computer science. Despite the theoretical soundness, the material stresses a large number of core computer science subjects, such as, for example, a discussion of floating point arithmetic, BackusNaur normal forms, Lsystems, Chomsky hierarchies, algorithms for data encoding, e.g., the ReedSolomon code. The numerous course examples are motivated by computer science and bear a generic scientific meaning. For the second edition the entire text has been carefully reread, and many examples have been added, as well as illustrations and explications to statements and proofs which were exposed in a too shorthand style. This makes the book more comfortable for instructors as well as for students to handle
 Image bit depth
 0
 LC call number
 QA76.9.M35
 Literary form
 non fiction
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