LEADER 02773nam 2200661Ia 450 001 9910455634403321 005 20200520144314.0 010 $a0-8389-9855-0 035 $a(CKB)111090425045190 035 $a(EBL)218932 035 $a(OCoLC)122350143 035 $a(SSID)ssj0000187002 035 $a(PQKBManifestationID)11182659 035 $a(PQKBTitleCode)TC0000187002 035 $a(PQKBWorkID)10253187 035 $a(PQKB)10255732 035 $a(MiAaPQ)EBC218932 035 $a(Au-PeEL)EBL218932 035 $a(CaPaEBR)ebr10179762 035 $a(EXLCZ)99111090425045190 100 $a20030609d2003 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aKeeping current$b[electronic resource] $eadvanced Internet strategies to meet librarian and patron needs /$fSteven M. Cohen 210 $aChicago $cAmerican Library Association$d2003 215 $a1 online resource (119 p.) 300 $aDescription based upon print version of record. 311 $a0-8389-0864-0 320 $aIncludes bibliographical references and index. 327 $aContents; Figures; Acknowledgments; Introduction; Chapter 1 - Developments in Currency; Chapter 2 - Search Engines; Chapter 3 - Web Site Monitoring Software; Chapter 4 - Weblogs; Chapter 5 - RSS Feeds; Index; 330 $aKeeping up with the ever-growing Web, along with professional resources and information for customers, can be an overwhelming challenge for busy librarians. What if you could keep current in one hour per day or less? What if you didn't have to surf? What if the information you selected proactively arrived in your inbox? What if you had effective sorting and saving tools to capture your preferred portion of this flood of data? 606 $aCurrent awareness services$xInformation technology 606 $aComputer network resources$xManagement 606 $aWorld Wide Web$xComputer programs 606 $aWeb search engines 606 $aBlogs 606 $aLibrary science$xComputer network resources 606 $aCommunication in library science 608 $aElectronic books. 615 0$aCurrent awareness services$xInformation technology. 615 0$aComputer network resources$xManagement. 615 0$aWorld Wide Web$xComputer programs. 615 0$aWeb search engines. 615 0$aBlogs. 615 0$aLibrary science$xComputer network resources. 615 0$aCommunication in library science. 676 $a025.5/25/02854678 700 $aCohen$b Steven M.$f1974-$0895411 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910455634403321 996 $aKeeping current$92000345 997 $aUNINA LEADER 01584nam 2200457I 450 001 9910704629703321 005 20130708083026.0 035 $a(CKB)5470000002443420 035 $a(OCoLC)852123551 035 $a(EXLCZ)995470000002443420 100 $a20130708d2013 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAircraft turbine engine control research at NASA Glenn Research Center /$fSanjay Garg 210 1$aCleveland, Ohio :$cNational Aeronautics and Space Administration, Glenn Research Center,$d2013. 215 $a1 online resource (28 pages) $cillustrations 225 1 $aNASA/TM ;$v2013-217821 300 $aTitle from title screen (viewed on July 8, 2013). 300 $a"April 2013." 320 $aIncludes bibliographical references (pages 26-28). 606 $aAircraft engines$2nasat 606 $aTurbine engines$2nasat 606 $aEngine control$2nasat 606 $aPropulsion system performance$2nasat 606 $aPropulsion system configurations$2nasat 615 7$aAircraft engines. 615 7$aTurbine engines. 615 7$aEngine control. 615 7$aPropulsion system performance. 615 7$aPropulsion system configurations. 700 $aGarg$b Sanjay$01386527 712 02$aNASA Glenn Research Center, 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910704629703321 996 $aAircraft turbine engine control research at NASA Glenn Research Center$93490005 997 $aUNINA LEADER 04000nam 22005535 450 001 9910674355703321 005 20251113180149.0 010 $a3-031-21139-1 024 7 $a10.1007/978-3-031-21139-3 035 $a(MiAaPQ)EBC7205355 035 $a(Au-PeEL)EBL7205355 035 $a(CKB)26170315500041 035 $a(DE-He213)978-3-031-21139-3 035 $a(PPN)268204977 035 $a(EXLCZ)9926170315500041 100 $a20230221d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 13$aAn Introduction to Optimal Control Theory $eThe Dynamic Programming Approach /$fby Onésimo Hernández-Lerma, Leonardo R. Laura-Guarachi, Saul Mendoza-Palacios, David González-Sánchez 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (279 pages) 225 1 $aTexts in Applied Mathematics,$x2196-9949 ;$v76 311 08$aPrint version: Hernández-Lerma, Onésimo An Introduction to Optimal Control Theory Cham : Springer International Publishing AG,c2023 9783031211386 320 $aIncludes bibliographical references (pages 263-270) and index. 327 $aIntroduction: optimal control problems-. Discrete-time deterministic systems -- Discrete-time stochastic control systems -- Continuous-time deterministic systems -- Continuous-time Markov control processes -- Controlled diffusion processes -- Appendices -- Bibliography -- Index. 330 $aThis book introduces optimal control problems for large families of deterministic and stochastic systems with discrete or continuous time parameter. These families include most of the systems studied in many disciplines, including Economics, Engineering, Operations Research, and Management Science, among many others. The main objective is to give a concise, systematic, and reasonably self contained presentation of some key topics in optimal control theory. To this end, most of the analyses are based on the dynamic programming (DP) technique. This technique is applicable to almost all control problems that appear in theory and applications. They include, for instance, finite and infinite horizon control problems in which the underlying dynamic system follows either a deterministic or stochastic difference or differential equation. In the infinite horizon case, it also uses DP to study undiscounted problems, such as the ergodic or long-run average cost. After a general introduction to control problems, the book covers the topic dividing into four parts with different dynamical systems: control of discrete-time deterministic systems, discrete-time stochastic systems, ordinary differential equations, and finally a general continuous-time MCP with applications for stochastic differential equations. The first and second part should be accessible to undergraduate students with some knowledge of elementary calculus, linear algebra, and some concepts from probability theory (random variables, expectations, and so forth). Whereas the third and fourth part would be appropriate for advanced undergraduates or graduate students who have a working knowledge of mathematical analysis (derivatives, integrals, ...) and stochastic processes. 410 0$aTexts in Applied Mathematics,$x2196-9949 ;$v76 606 $aStochastic processes 606 $aStochastic models 606 $aStochastic Systems and Control 606 $aStochastic Modelling 615 0$aStochastic processes. 615 0$aStochastic models. 615 14$aStochastic Systems and Control. 615 24$aStochastic Modelling. 676 $a515.642 676 $a515.642 700 $aHerna?ndez-Lerma$b O$g(One?simo),$0350131 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910674355703321 996 $aAn Introduction to Optimal Control Theory$93374123 997 $aUNINA