Download PDF by Bernard Moret, Henry D. Shapiro: Algorithms from P to NP, Vol. I: Design and Efficiency

By Bernard Moret, Henry D. Shapiro

ISBN-10: 0805380086

ISBN-13: 9780805380088

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Extra info for Algorithms from P to NP, Vol. I: Design and Efficiency

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In any event, of course, few continuous models are actually implemented continuously but use a form of periodic or random data sampling. The model state categorization — a fundamentally important perspective on how the model is constructed — reflects the ways in which the underlying model relationships are or can be described. Outcomes in a deterministic model can be predicted completely if the independent variables (input values) and the initial state of the model are known. This means that a given input always produces a given output.

The rules forming a conventional expert system are derived from one or more subject matter experts (SMEs). ■ Statistical learning theory: A collection of techniques that quantify and learn the periodic (seasonal and cyclical) behavior of data over time. Many statistical learning approaches employ forms of Bayes’ Theorem, which estimates values based the amount of cumulative evidence. ■ Neural networks: A nonlinear classification system of interconnected nodes that can learn the underlying behavior patterns in a collection of data using a set of examples.

Retailers and suppliers need fundamental information about the deep relationships that drive sales, control inventory levels, and cause shortages or surpluses. They want to separate seasonal changes in purchasing habits from actual shifts in such habits and preferences. Investment houses need to assess the issues of safety and suitability for new investors or balance the distribution or concentration of stocks or bonds in the portfolios of clients at various income levels. 14 ■ Chapter 1 Foundations and Ideas ■ Engineering staffs need to determine the probable durability of new products or the long-term mean time between failure (MTBF) and mean time to repair (MTTR) for various classes of equipment.

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Algorithms from P to NP, Vol. I: Design and Efficiency by Bernard Moret, Henry D. Shapiro


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