000805666 000__ 03489cam\a2200541Mi\4500 000805666 001__ 805666 000805666 005__ 20230306143801.0 000805666 006__ m\\\\\o\\d\\\\\\\\ 000805666 007__ cr\un\nnnunnun 000805666 008__ 171030s2017\\\\gw\\\\\\o\\\\\000\0\eng\d 000805666 019__ $$a1008977163$$a1013477424$$a1013918039 000805666 020__ $$a9783319659190$$q(electronic book) 000805666 020__ $$a3319659197$$q(electronic book) 000805666 020__ $$z9783319659176 000805666 020__ $$z3319659170 000805666 0247_ $$a10.1007/978-3-319-65919-0$$2doi 000805666 035__ $$aSP(OCoLC)on1011371709 000805666 035__ $$aSP(OCoLC)1011371709$$z(OCoLC)1008977163$$z(OCoLC)1013477424$$z(OCoLC)1013918039 000805666 040__ $$aFIE$$beng$$erda$$cFIE$$dGW5XE$$dOCLCO$$dN$T$$dEBLCP$$dAZU$$dNOC$$dOCLCF$$dYDX$$dUPM$$dOCLCA$$dCOO 000805666 049__ $$aISEA 000805666 050_4 $$aT57.74 000805666 08204 $$a519.7/2$$223 000805666 08214 $$a519.6 000805666 1001_ $$aPloskas, Nikolaos,$$eauthor. 000805666 24510 $$aLinear programming using MATLAB® /$$cNikolaos Ploskas, Nikolaos Samaras. 000805666 264_1 $$aCham :$$bSpringer,$$c2017. 000805666 300__ $$a1 online resource (xvii, 637 pages) :$$billustrations. 000805666 336__ $$atext$$btxt$$2rdacontent 000805666 337__ $$acomputer$$bc$$2rdamedia 000805666 338__ $$aonline resource$$bcr$$2rdacarrier 000805666 347__ $$atext file$$bPDF$$2rda 000805666 4901_ $$aSpringer Optimization and Its Applications,$$x1931-6828 ;$$vv. 127 000805666 5050_ $$a1. Introduction -- 2. Linear Programming Algorithms -- 3. Linear Programming Benchmark and Random Problems -- 4. Presolve Methods -- 5. Scaling Techniques -- 6. Pivoting Rules -- 7. Basis Inverse and Update Methods -- 8. Revised Primal Simplex Algorithm -- 9. Exterior Point Simplex Algorithms -- 10. Interior Point Method -- 11. Sensitivity Analysis -- Appendix: MATLAB's Optimization Toolbox Algorithms -- Appendix: State-of-the-art Linear Programming Solvers;CLP and CPLEX. 000805666 506__ $$aAccess limited to authorized users. 000805666 520__ $$aThis book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included for each algorithm as well as comprehensive numerical examples and corresponding MATLAB® code. The MATLAB® implementations presented in this book are sophisticated and allow users to find solutions to large-scale benchmark linear programs. Each algorithm is followed by a computational study on benchmark problems that analyze the computational behavior of the presented algorithms. As a solid companion to existing algorithmic-specific literature, this book will be useful to researchers, scientists, mathematical programmers, and students with a basic knowledge of linear algebra and calculus. The clear presentation enables the reader to understand and utilize all components of simplex-type methods, such as presolve techniques, scaling techniques, pivoting rules, basis update methods, and sensitivity analysis.--$$cProvided by publisher. 000805666 650_0 $$aLinear programming. 000805666 650_0 $$aMathematics. 000805666 650_0 $$aComputer science$$xMathematics. 000805666 650_0 $$aAlgorithms. 000805666 650_0 $$aComputer software. 000805666 650_0 $$aMathematical optimization. 000805666 7001_ $$aSamaras, Nikolaos,$$eauthor. 000805666 77608 $$iPrint version:$$z9783319659176 000805666 830_0 $$aSpringer optimization and its applications ;$$vv. 127. 000805666 852__ $$bebk 000805666 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-65919-0$$zOnline Access$$91397441.1 000805666 909CO $$ooai:library.usi.edu:805666$$pGLOBAL_SET 000805666 980__ $$aEBOOK 000805666 980__ $$aBIB 000805666 982__ $$aEbook 000805666 983__ $$aOnline 000805666 994__ $$a92$$bISE