Computer-Assisted Analysis and Model Simplification: Proceedings of the First Symposium on Computer-Assisted Analysis and Model Simplification, University of Colorado, Boulder, Colorado, March 28, 1980
Harvey J. Greenberg · John S. Maybee
Mey 2014 · Elsevier
I-Ebook
534
Amakhasi
family_home
Kufanelekile
info
Mayelana nale ebook
Computer-Assisted Analysis and Model Simplification deals with problems associated with the implementation, understanding, and management of large-scale, computer-resident models. This book focuses on five general research areas—structural modeling, qualitative economics, mathematical programming systems, relational databases, and combinatorics. In these topics, this compilation discusses the scope of computer-assisted analysis and model, structural models and graph theory, and qualitative stability of matrices and economic theory. The strong sign-solvability and weak satisfiability, automatic identification of embedded structure in large-scale optimization models, and query systems for linear programming models are also deliberated. This publication is a good source for students, specialists, and researchers interested in computer-assisted analysis and model simplification.
Computer-Assisted Analysis and Model Simplification deals with problems associated with the implementation, understanding, and management of large-scale, computer-resident models. This book focuses on five general research areas—structural modeling, qualitative economics, mathematical programming...
Thola okuningi
Nikeza le ebook isilinganiso
Sitshele ukuthi ucabangani.
Ulwazi lokufunda
Amasmathifoni namathebulethi
Faka uhlelo lokusebenza lwe-Google Play Amabhuku lwe-Android ne-iPad/iPhone. Livunyelaniswa ngokuzenzakalela ne-akhawunti yakho liphinde likuvumele ukuthi ufunde uxhunywe ku-inthanethi noma ungaxhunyiwe noma ngabe ukuphi.
Amakhompyutha aphathekayo namakhompyutha
Ungalalela ama-audiobook athengwe ku-Google Play usebenzisa isiphequluli sewebhu sekhompuyutha yakho.
Ama-eReaders namanye amadivayisi
Ukuze ufunde kumadivayisi e-e-ink afana ne-Kobo eReaders, uzodinga ukudawuniloda ifayela futhi ulidlulisele kudivayisi yakho. Landela imiyalelo Yesikhungo Sosizo eningiliziwe ukuze udlulise amafayela kuma-eReader asekelwayo.
