http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
1 online resource (686 pages) : 235 illustrations.
Presenting a strong and clear relationship between theory and practice, Linear and Integer Optimization: Theory and Practice is divided into two main parts. The first covers the theory of linear and integer optimization, including both basic and advanced topics. Dantzig's simplex algorithm, duality, sensitivity analysis, integer optimization models, and network models are introduced.
chapter 1 Basic concepts of linear optimization -- part Part I: Linear optimization theory: basic techniques -- chapter 2 Geometry and algebra of feasible regions -- chapter 3 Dantzig's simplex algorithm -- chapter 4 Duality, feasibility, and optimality -- chapter 5 Sensitivity analysis -- chapter 6 Large-scale linear optimization -- chapter 7 Integer linear optimization -- chapter 8 Linear network models -- chapter 9 Computational complexity -- part Part II: Linear optimization practice: advanced techniques -- chapter 10 Designing a reservoir for irrigation -- chapter 11 Classifying documents by language -- chapter 12 Production planning: a single product case -- chapter 13 Production of coee machines -- chapter 14 Conflicting objectives: producing versus importing -- chapter 15 Coalition formation and profit distribution -- chapter 16 Minimizing trimloss when cutting cardboard -- chapter 17 O-shore helicopter routing -- chapter 18 The catering service problem -- part Appendices -- chapter A -- Mathematical proofs -- chapter B -- Linear algebra -- chapter C Graph theory -- chapter D -- Convexity -- chapter E Nonlinear optimization -- chapter F Writing LO-models in GNU MathProg (GMPL) -- chapter List of Symbols.
TECHNOLOGY & ENGINEERING / Operations Research