LEADER 03158oam 2200685Ma 450 001 9910973566203321 005 20240402061509.0 010 $a1-04-015780-7 010 $a0-429-06752-6 010 $a1-4665-0159-6 035 $a(CKB)3710000000391529 035 $a(EBL)1633372 035 $a(SSID)ssj0001459310 035 $a(PQKBManifestationID)12473530 035 $a(PQKBTitleCode)TC0001459310 035 $a(PQKBWorkID)11464022 035 $a(PQKB)10573589 035 $a(Au-PeEL)EBL1633372 035 $a(CaPaEBR)ebr11167340 035 $a(OCoLC)908079059 035 $a(OCoLC)958799177$z(OCoLC)1122508392 035 $a(OCoLC-P)958799177 035 $a(FlBoTFG)9780429067525 035 $a(OCoLC)958799177 035 $a(FINmELB)ELB143905 035 $a(MiAaPQ)EBC1633372 035 $a(EXLCZ)993710000000391529 100 $a20160914d2012 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLinear algebra and probability for computer science applications /$fErnest Davis 205 $a1st ed. 210 $aBoca Raton, FL $cCRC Press$dİ2012 210 1$aBoca Raton, Florida ;$aLondon, [England] ;$aNew York :$cCRC Press,$d2012. 210 4$dİ2012 215 $a1 online resource (430 p.) 225 0 $aAn A K Peters Book 300 $aDescription based upon print version of record. 311 08$a1-4665-0155-3 320 $aIncludes bibliographical references. 327 $aFront Cover; Dedication; Contents; Preface; 1. MATLAB; I: Linear Algebra; 2. Vectors; 3. Matrices; 4. Vector Spaces; 5. Algorithms; 6. Geometry; 7. Change of Basis, DFT, and SVD; II: Probability; 8. Probability; 9. Numerical Random Variables; 10. Markov Models; 11. Confidence Intervals; 12. Monte Carlo Methods; 13. Information and Entropy; 14. Maximum Likelihood Estimation; References; Notation 330 $a"Taking a computer scientist's point of view, this classroom-tested text gives an introduction to linear algebra and probability theory, including some basic aspects of statistics. It discusses examples of applications from a wide range of areas of computer science, including computer graphics, computer vision, robotics, natural language processing, web search, machine learning, statistical analysis, game playing, graph theory, scientific computing, decision theory, coding, cryptography, network analysis, data compression, and signal processing. It includes an extensive discussion of MATLAB, and includes numerous MATLAB exercises and programming assignments"--$cProvided by publisher. 606 $aComputer science$xMathematics 606 $aAlgebras, Linear 606 $aProbabilities 615 0$aComputer science$xMathematics. 615 0$aAlgebras, Linear. 615 0$aProbabilities. 676 $a004.01/51 686 $aMAT000000$aMAT003000$aMAT029010$2bisacsh 700 $aDavis$b Ernest$0754648 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9910973566203321 996 $aLinear algebra and probability for computer science applications$94398195 997 $aUNINA