What is discreet optimization?
discrete optimization is one category of optimization because the concept is used in the field of computer science and mathematics. Unlike a specific or continuous optimization, discrete optimization uses only whole numbers than decimal numbers to maximize functions, which is the purpose of all optimization. It is possible to further divide discrete optimization into the entire programming and combinatorial optimization. This means that the numerical values used are any value that may occur in both the real physical world and in the abstract world of mathematics. Negative numbers are possible, as well as fractions and decimal places that run indefinitely. This form of optimization is the most complex and also occupies the most accurate approach to mathematical functions.
The second optimization industry is discrete optimization. Overall, the purpose of driving remains the same - maximize the outputs of mathematical functions that apply to computers, engineering or other fields. Unlike your counterpartFollowing discrete optimization only deals with discrete numeric values. These are specific integers such as number 2 or 647.
As in the area of optimization itself, discrete optimization can be divided into two categories: whole programming and combinatorial optimization. In computer sciences, the integer programming of variables in the program limits only to integers; This means that fractions and negatives are forbidden to enter the program. COMBINATORICAL OPTIZATION is used in computer sciences and mathematics and is quite complex. It includes the integration of discrete optimization operations and solutions into various types of graphs. Thanks to the final and specific nature of discrete numeric throwNothing is never smooth graphs, but rather emphasize the differences in vertical and horizontal axes that appear between two values.
whether continuous or discrete optimization is used, it depends entirely on the field and the targets of a particular project. In addition to mathematics and computer applications, different branches of optimization could be used in engineering, economics or mechanical sciences. According to the project, it may be that discrete or continuous optimization is not used - there are only two other optimization categories.