03807oam 22007695 450 991078286580332120200520144314.01-281-95978-297866119597840-8213-7779-510.1596/978-0-8213-7778-9(CKB)1000000000721291(EBL)459343(OCoLC)314427709(SSID)ssj0000086745(PQKBManifestationID)11113708(PQKBTitleCode)TC0000086745(PQKBWorkID)10051899(PQKB)10111594(MiAaPQ)EBC459343(Au-PeEL)EBL459343(CaPaEBR)ebr10269615(CaONFJC)MIL195978(The World Bank)ocn266915379(US-djbf)15519864(EXLCZ)99100000000072129120081113d2009 uy 0engurcn|||||||||txtrdacontentcrdamediacrrdacarrierThe evolving regulatory context for private education in emerging economies : discussion paper and case studies /International Colloquium on Private EducationWashington, D.C. :World Bank,c2009.vi, 65 pages ;26 cmAfrica human development seriesWorld Bank working paper ;no. 154Description based upon print version of record.0-8213-7778-7 Includes bibliographical references (p. 25).Contents; Foreword; Part I: Discussion Paper: The Evolving Regulatory Context for Private Education in Emerging Economies; TABLE 2.1 Private and Public Universities in Africa, Various Countries; BOX 3.1 Registering a Private School; BOX 3.2 Curriculum Controls in Vietnam; BOX 4.1 Examples of University Establishment Processes in Three African Countries; BOX 4.2 Pakistan: A Supportive Framework for Private Tertiary Education Institutions; BOX 5.1 Micro-Credit Facilities for Education; Part II: Country Case Studies; TABLE 11.2 Student Intake, Enrollment, and OutputTABLE 11.1 Number of Universities, University Colleges, Foreign Branch Campuses, and CollegesTABLE 11.4 Faculty; TABLE 11.5 International Students; TABLE 11.3 Student Intake, Enrollment, and Output, By Level of StudiesGovernments around the world, and particularly those in developing countries, face significant educational challenges. Despite progress in raising education enrollments at the basic education level, much remains to be done. Today, about 77 million children in developing countries are not in school, particularly in Sub-Saharan Africa and South Asia. Higher education participation rates remain low in many developing countries, and public higher education institutions (HEIs) struggle to absorb growing numbers of secondary school graduates. Public universities face ongoing challenges, including a Africa Region human development series.World Bank e-Library.World Bank working paper ;no. 154.Privatization in educationDeveloping countriesPrivate schoolsGovernment policyDeveloping countriesPrivatization in educationPrivate schoolsGovernment policy379.281.12bclInternational Colloquium on Private Education.DLCDLCYDXYDXCPBTCTACDXNLGGCOCLCQBWXDLCBOOK9910782865803321The evolving regulatory context for private education in emerging economies3687583UNINA03421nam 22006852 450 991078157400332120151005020622.01-107-22690-21-283-34243-X1-139-16037-097866133424300-511-76229-11-139-16137-71-139-15580-61-139-15932-11-139-15755-8(CKB)2550000000065970(EBL)807191(OCoLC)763159240(SSID)ssj0000554817(PQKBManifestationID)11368622(PQKBTitleCode)TC0000554817(PQKBWorkID)10517171(PQKB)11210047(UkCbUP)CR9780511762291(MiAaPQ)EBC807191(Au-PeEL)EBL807191(CaPaEBR)ebr10514275(CaONFJC)MIL334243(PPN)261291270(EXLCZ)99255000000006597020100506d2011|||| uy| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierGreedy approximation /Vladimir Temlyakov[electronic resource]Cambridge :Cambridge University Press,2011.1 online resource (xiv, 418 pages) digital, PDF file(s)Cambridge monographs on applied and computational mathematics ;20Title from publisher's bibliographic system (viewed on 05 Oct 2015).1-107-00337-7 Includes bibliographical references and index.1. Greedy approximation with respect to bases -- 2. Greedy approximation with respect to dictionaries: Hilbert spaces -- 3. Entropy -- 4. Approximation in learning theory -- 5. Approximation in compressed sensing -- 6. Greedy approximation with respect to dictionaries: Banach spaces.This first book on greedy approximation gives a systematic presentation of the fundamental results. It also contains an introduction to two hot topics in numerical mathematics: learning theory and compressed sensing. Nonlinear approximation is becoming increasingly important, especially since two types are frequently employed in applications: adaptive methods are used in PDE solvers, while m-term approximation is used in image/signal/data processing, as well as in the design of neural networks. The fundamental question of nonlinear approximation is how to devise good constructive methods (algorithms) and recent results have established that greedy type algorithms may be the solution. The author has drawn on his own teaching experience to write a book ideally suited to graduate courses. The reader does not require a broad background to understand the material. Important open problems are included to give students and professionals alike ideas for further research.Cambridge monographs on applied and computational mathematics ;20.Approximation theoryCompressed sensing (Telecommunication)Approximation theory.Compressed sensing (Telecommunication)518/.5MAT034000bisacshTemlyakov Vladimir1953-1561800UkCbUPUkCbUPBOOK9910781574003321Greedy approximation3828818UNINA