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- W1570488346 abstract "This chapter discusses the classes of problems for solution tools are discussed. It also considers the interrelationships between different problem classes as well as among the solution methods. In the real world, the objective function f() and the constraints c are not only functions of x but also depend on data; in fact, they may depend on vast arrays of data, particularly in statistical problems involving large systems. To illustrate, the chapter presents Cobb–Douglas and Hobbs' weed infestation examples, which illustrate some of the issues that will be encountered. There are some particular forms of the objective function that lead to specialized, but quite common, solution methods. This gives us one dimension or axis by which to categorize the optimization methods. Another categorization of optimization problems and their solution methods is via the constraints that are imposed on the parameters." @default.
- W1570488346 created "2016-06-24" @default.
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- W1570488346 date "2014-04-04" @default.
- W1570488346 modified "2023-10-18" @default.
- W1570488346 title "Optimization problem tasks and how they arise" @default.
- W1570488346 doi "https://doi.org/10.1002/9781118884003.ch1" @default.
- W1570488346 hasPublicationYear "2014" @default.
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