LEADER 01400nam 2200421 450 001 996490355503316 005 20231110213150.0 010 $a3-031-17422-4 035 $a(CKB)5840000000091656 035 $a(MiAaPQ)EBC7102095 035 $a(Au-PeEL)EBL7102095 035 $a(PPN)264954831 035 $a(EXLCZ)995840000000091656 100 $a20230225d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aComputer and communication engineering $e2nd International Conference, CCCE 2022, Rome, Italy, March 11-13, 2022 : revised selected papers /$fedited by Filippo Neri, [and four others] 210 1$aCham, Switzerland :$cSpringer,$d[2022] 210 4$dİ2022 215 $a1 online resource (200 pages) 225 1 $aCommunications in Computer and Information Science ;$vv.1630 311 $a3-031-17421-6 320 $aIncludes bibliographical references and index. 410 0$aCommunications in Computer and Information Science 606 $aComputer engineering$vCongresses 615 0$aComputer engineering 676 $a929.605 702 $aNeri$b Filippo 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996490355503316 996 $aComputer and Communication Engineering$92504538 997 $aUNISA LEADER 03027nam 22006015 450 001 9911031627503321 005 20251010131541.0 010 $a981-9691-94-X 024 7 $a10.1007/978-981-96-9194-4 035 $a(MiAaPQ)EBC32336682 035 $a(Au-PeEL)EBL32336682 035 $a(CKB)41597713600041 035 $a(DE-He213)978-981-96-9194-4 035 $a(OCoLC)1549520399 035 $a(EXLCZ)9941597713600041 100 $a20251010d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOptimization Methods and Algorithms /$fby Anand J. Kulkarni 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (176 pages) 225 1 $aEngineering Series 311 08$a981-9691-93-1 327 $aChapter 1 Introduction to Optimization -- Chapter 2 Single Variable Optimization Methods -- Chapter 3 Multi Variable Optimization Methods -- Chapter 4 Graphical Optimization -- Chapter 5 Linear Programming Methods -- Chapter 6 Nature inspired Optimization Methods. 330 $aThe book thoroughly explains fundamental optimization concepts and terminology, including variables, parameters, constraints, bounds, and convexity. It also demonstrates how to formulate optimization problems using illustrative examples. Covering both single-variable and multi-variable optimization methods, the book provides theoretical insights, practical examples, and exercises, along with a graphical approach to problem-solving. In light of growing concerns about resource limitations and environmental impacts, this textbook addresses the need for efficient resource use amidst technological advancements and market competition. Students will appreciate the comprehensive coverage, supported by illustrations and exercises that deepen their understanding. Instructors will find it invaluable for classroom teaching, with accessible concepts and practical examples that highlight the nuances of optimization. 410 0$aEngineering Series 606 $aEngineering mathematics 606 $aEngineering$xData processing 606 $aMathematical optimization 606 $aComputational intelligence 606 $aMathematical and Computational Engineering Applications 606 $aOptimization 606 $aComputational Intelligence 615 0$aEngineering mathematics. 615 0$aEngineering$xData processing. 615 0$aMathematical optimization. 615 0$aComputational intelligence. 615 14$aMathematical and Computational Engineering Applications. 615 24$aOptimization. 615 24$aComputational Intelligence. 676 $a620 700 $aKulkarni$b Anand J$01368635 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911031627503321 996 $aOptimization Methods and Algorithms$94444824 997 $aUNINA