000 04170nam a22004935i 4500
001 978-3-658-40423-9
003 DE-He213
005 20240207153518.0
007 cr nn 008mamaa
008 230830s2023 gw | s |||| 0|eng d
020 _a9783658404239
_9978-3-658-40423-9
050 4 _aQA76.9.M35
072 7 _aUYAM
_2bicssc
072 7 _aCOM018000
_2bisacsh
072 7 _aUYAM
_2thema
082 0 4 _a004.0151
_223
100 1 _aHartmann, Peter.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aMathematics for Computer Scientists
_h[electronic resource] :
_bA Practice-Oriented Approach /
_cby Peter Hartmann.
250 _a1st ed. 2023.
264 1 _aWiesbaden :
_bSpringer Fachmedien Wiesbaden :
_bImprint: Springer,
_c2023.
300 _aX, 590 p. 219 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aAcceso multiusuario
505 0 _aDISCRETE MATHEMATICS AND LINEAR ALGEBRA -- Sets and mappings -- Logic -- Natural numbers, complete induction, recursion -- Some number theory -- Algebraic structures -- Vector spaces -- Matrices -- Gaussian algorithm and systems of linear equations -- Eigenvalues, eigenvectors and basis transformations -- Scalar product and orthogonal maps -- Graph theory -- ANALYSIS -- The real numbers -- Sequences and series -- Continuous functions -- Differential calculus -- Integral calculus -- Differential equations -- Numerical methods -- PROBABILITY AND STATISTICS -- Probability spaces -- Random variables -- Important distributions and stochastic processes -- Statistical methods -- Appendix.
520 _aThis textbook contains the mathematics needed to study computer science in application-oriented computer science courses. The content is based on the author's many years of teaching experience. The translation of the original German 7th edition Mathematik für Informatiker by Peter Hartmann was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. Textbook Features You will always find applications to computer science in this book. Not only will you learn mathematical methods, you will gain insights into the ways of mathematical thinking to form a foundation for understanding computer science. Proofs are given when they help you learn something, not for the sake of proving. Mathematics is initially a necessary evil for many students. The author explains in each lesson how students can apply what they have learned by giving many real world examples, and by constantly cross-referencing math and computer science. Students will see how math is not only useful, but can be interesting and sometimes fun. The Content Sets, logic, number theory, algebraic structures, cryptography, vector spaces, matrices, linear equations and mappings, eigenvalues, graph theory. Sequences and series, continuous functions, differential and integral calculus, differential equations, numerics. Probability theory and statistics. The Target Audiences Students in all computer science-related coursework, and independent learners. The Author Peter Hartmann is a professor at Landshut University of Applied Sciences in the Department of Computer Science. The focus of his teaching is on mathematics for computer scientists and business informatics specialists.
541 _fUABC ;
_cPerpetuidad
650 0 _aComputer science
_xMathematics.
650 1 4 _aMathematics of Computing.
650 2 4 _aMathematical Applications in Computer Science.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783658404222
776 0 8 _iPrinted edition:
_z9783658404246
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-658-40423-9
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cLIBRO_ELEC
999 _c260925
_d260924