LEADER 01358nam 2200421 450 001 9910795059803321 005 20230814215652.0 010 $a1-943874-29-8 035 $a(CKB)4340000000261790 035 $a(MiAaPQ)EBC5326884 035 $a(EXLCZ)994340000000261790 100 $a20180414h20182018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aMathematics coaching and collaboration in a PLC at work /$fTimothy D. Kanold [and five others] 210 1$aBloomington, Indiana :$cSolution Tress Press,$d2018. 210 4$dİ2018 215 $a1 online resource (122 pages) $cillustrations, tables 225 0 $aEvery Student Can Learn Mathematics 311 $a1-943874-34-4 320 $aIncludes bibliographical references and index. 606 $aMathematics$xStudy and teaching 606 $aMathematics teachers$xTraining of 615 0$aMathematics$xStudy and teaching. 615 0$aMathematics teachers$xTraining of. 676 $a510.712 700 $aKanold$b Timothy D.$01031035 702 $aKanold$b Timothy D. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910795059803321 996 $aMathematics coaching and collaboration in a PLC at work$93853278 997 $aUNINA LEADER 04401nam 22006495 450 001 9910958637803321 005 20250731090533.0 010 $a1-4615-5563-9 024 7 $a10.1007/978-1-4615-5563-6 035 $a(CKB)3400000000096256 035 $a(SSID)ssj0000929662 035 $a(PQKBManifestationID)11574339 035 $a(PQKBTitleCode)TC0000929662 035 $a(PQKBWorkID)10912217 035 $a(PQKB)10498827 035 $a(DE-He213)978-1-4615-5563-6 035 $a(MiAaPQ)EBC3081836 035 $a(EXLCZ)993400000000096256 100 $a20121227d1998 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aNonlinear Multiobjective Optimization /$fby Kaisa Miettinen 205 $a1st ed. 1998. 210 1$aNew York, NY :$cSpringer US :$cImprint: Springer,$d1998. 215 $a1 online resource (XXI, 298 p.) 225 1 $aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v12 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a0-7923-8278-1 311 08$a1-4613-7544-4 320 $aIncludes bibliographical references and index. 327 $aI Terminology And Theory -- 2. Concepts -- 3. Theoretical Background -- II Methods -- 2. No-Preference Methods -- 3. A Posteriori Methods -- 4. A Priori Methods -- 5. Interactive Methods -- III Related Issues -- 1. Comparing Methods -- 2. Software -- 3. Graphical Illustration -- 4. Future Directions -- 5. Epilogue -- References. 330 $aProblems with multiple objectives and criteria are generally known as multiple criteria optimization or multiple criteria decision-making (MCDM) problems. So far, these types of problems have typically been modelled and solved by means of linear programming. However, many real-life phenomena are of a nonlinear nature, which is why we need tools for nonlinear programming capable of handling several conflicting or incommensurable objectives. In this case, methods of traditional single objective optimization and linear programming are not enough; we need new ways of thinking, new concepts, and new methods - nonlinear multiobjective optimization. Nonlinear Multiobjective Optimization provides an extensive, up-to-date, self-contained and consistent survey, review of the literature and of the state of the art on nonlinear (deterministic) multiobjective optimization, its methods, its theory and its background. The amount of literature on multiobjective optimization is immense. The treatment in this book is based on approximately 1500 publications in English printed mainly after the year 1980. Problems related to real-life applications often contain irregularities and nonsmoothnesses. The treatment of nondifferentiable multiobjective optimization in the literature is rather rare. For this reason, this book contains material about the possibilities, background, theory and methods of nondifferentiable multiobjective optimization as well. This book is intended for both researchers and students in the areas of (applied) mathematics, engineering, economics, operations research and management science; it is meant for both professionals and practitioners in many different fields of application. The intention has been to provide a consistent summary that may help in selecting an appropriate method for the problem to be solved. It is hoped the extensive bibliography will be of value to researchers. 410 0$aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v12 606 $aOperations research 606 $aMathematical optimization 606 $aCalculus of variations 606 $aOperations Research and Decision Theory 606 $aOptimization 606 $aCalculus of Variations and Optimization 615 0$aOperations research. 615 0$aMathematical optimization. 615 0$aCalculus of variations. 615 14$aOperations Research and Decision Theory. 615 24$aOptimization. 615 24$aCalculus of Variations and Optimization. 676 $a658.40301 700 $aMiettinen$b Kaisa$4aut$4http://id.loc.gov/vocabulary/relators/aut$0594977 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910958637803321 996 $aNonlinear multiobjective optimization$9993836 997 $aUNINA