
Template for project specification
... (Build in UML a class diagram that describes the relationships among the classes). c. Classes description (For each class, describe the attributes and the methods. For each method describe procedurally what is supposed to perform). d. Component Diagram (or Implementation Model) (Build in UML a compo ...
... (Build in UML a class diagram that describes the relationships among the classes). c. Classes description (For each class, describe the attributes and the methods. For each method describe procedurally what is supposed to perform). d. Component Diagram (or Implementation Model) (Build in UML a compo ...
Search1
... State Space: a 3x3 matrix containing the numbers 1,…,8 and *(empty) Operators: North, South, East, West Ch. Eick: Introduction to Search ...
... State Space: a 3x3 matrix containing the numbers 1,…,8 and *(empty) Operators: North, South, East, West Ch. Eick: Introduction to Search ...
CHAPTER 1 INTRODUCTION
... being forced to produce product that meet the customer requirement with high expectation such as product functionality but in lower cost. So, designer needs to design product with maximize value in order to fulfill that requirement. In recent decades the search for significant cost-saving effects th ...
... being forced to produce product that meet the customer requirement with high expectation such as product functionality but in lower cost. So, designer needs to design product with maximize value in order to fulfill that requirement. In recent decades the search for significant cost-saving effects th ...
Chapter 1 An Introduction to Model Building
... constraints are satisfied is known with certainty. If this is not the case, then we have a stochastic model. If we view the Daisy example as a deterministic model, then we are making the assumption that for given values of V, P, T, A, B, and C the process yield will always be the same. Since thi ...
... constraints are satisfied is known with certainty. If this is not the case, then we have a stochastic model. If we view the Daisy example as a deterministic model, then we are making the assumption that for given values of V, P, T, A, B, and C the process yield will always be the same. Since thi ...
Mathematical optimization

In mathematics, computer science and operations research, mathematical optimization (alternatively, optimization or mathematical programming) is the selection of a best element (with regard to some criteria) from some set of available alternatives.In the simplest case, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function. The generalization of optimization theory and techniques to other formulations comprises a large area of applied mathematics. More generally, optimization includes finding ""best available"" values of some objective function given a defined domain (or a set of constraints), including a variety of different types of objective functions and different types of domains.