| Record ID | marc_columbia/Columbia-extract-20221130-028.mrc:128779887:3835 |
| Source | marc_columbia |
| Download Link | /show-records/marc_columbia/Columbia-extract-20221130-028.mrc:128779887:3835?format=raw |
LEADER: 03835cam a2200553Ia 4500
001 13725280
005 20220528224257.0
006 m o d
007 cr cnu---unuuu
008 091009s2009 ne a ob 001 0 eng d
035 $a(OCoLC)ocn455361523
035 $a(NNC)13725280
040 $aOPELS$beng$epn$cOPELS$dOPELS$dCDX$dN$T$dYDXCP$dEBLCP$dBTCTA$dIDEBK$dOCLCQ$dOCLCF$dOCLCQ$dKNOVL$dOCLCQ$dCOO$dSTF$dOCLCQ$dD6H$dNLE$dUKMGB$dLEAUB$dOL$$dOCLCQ$dUAB$dOCLCO
015 $aGBB8C8151$2bnb
016 7 $a017549239$2Uk
019 $a311787842$a670431939$a1224451967
020 $a9780080914039$q(electronic bk.)
020 $a0080914039$q(electronic bk.)
020 $z9780080446738
035 $a(OCoLC)455361523$z(OCoLC)311787842$z(OCoLC)670431939$z(OCoLC)1224451967
037 $bKnovel Corporation$nhttp://www.knovel.com
050 4 $aTJ212$b.P69 2009eb
072 7 $aTEC$x004000$2bisacsh
072 7 $aTEC$x037000$2bisacsh
082 04 $a629.8312$222
049 $aZCUA
100 1 $aPoznyak, Alexander S.
245 10 $aAdvanced mathematical tools for automatic control engineers.$nVolume 2,$pStochastic techniques /$cAlex Poznyak.
246 30 $aStochastic techniques
250 $a1st ed.
260 $aAmsterdam ;$aBoston :$bElsevier Science,$c2009.
300 $a1 online resource (xxix, 538 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
504 $aIncludes bibliographical references (pages 529-533) and index.
520 $aThe second volume of this work continues the and approach of the first volume, providing mathematical tools for the control engineer and examining such topics as random variables and sequences, iterative logarithmic and large number laws, differential equations, stochastic measurements and optimization, discrete martingales and probability space. It includes proofs of all theorems and contains many examples with solutions. It is written for researchers, engineers and advanced students who wish to increase their familiarity with different topics of modern and classical mathematics related to system and automatic control theories. It also has applications to game theory, machine learning and intelligent systems. * Provides comprehensive theory of matrices, real, complex and functional analysis * Provides practical examples of modern optimization methods that can be effectively used in variety of real-world applications * Contains worked proofs of all theorems and propositions presented.
505 0 $aPreface; Introduction; Probability Space; Random Variables; Mathematical Expectation; Random Sequences; Conditional Mathematical Expectation; Discrete Martingales; Large Number Laws; Characteristic Functions and the Central Limit Theorem; Iterative Logarithmic Law; Stochastic Differential Equations; Wiener and Kalman Filtering; Parametric Identification under Stochastic Measurements; Stochastic Optimization; Finite Markov Chains, Discrete Events and Elements of Queering Theory.
588 0 $aPrint version record.
650 0 $aAutomatic control$xMathematics.
650 6 $aCommande automatique$xMathématiques.
650 7 $aTECHNOLOGY & ENGINEERING$xAutomation.$2bisacsh
650 7 $aTECHNOLOGY & ENGINEERING$xRobotics.$2bisacsh
650 7 $aAutomatic control$xMathematics.$2fast$0(OCoLC)fst00822713
655 0 $aElectronic books.
655 4 $aElectronic books.
776 08 $iPrint version:$aPoznyak, Alexander S.$tAdvanced mathematical tools for automatic control engineers.$nVolume 2, Stochastic techniques.$dOxford : Elsevier Science, 2009$z9780080446738$w(OCoLC)319208894
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio13725280$zACADEMIC - General Engineering & Project Administration
852 8 $blweb$hEBOOKS