Features a pragmatic approach to linear programming and
other forms of optimization:
- Describes how and why linear programming works.
- Uses an abundance of applications to motivate the
learning of the methodologies.
- Begins with problems that are easier to formulate,
and follows with problems that demand greater skill to put into solvable
Provides a solid treatment of multiple objective programming.
Offers thorough and integrated coverage of integer programming
and network problems.
Features "Lessons in Context" chapters which
teach new techniques in the context of need -- with advanced and
extended realistic examples.
Contains in-depth chapters on engineering economics
and decision theory to help students develop a solid foundation
upon which to compute important model parameters.
- Focuses on topics such as the time value of money, cash
flow analysis, and selection of economic alternatives.
Contains an abundance of substantive examples and problems.