Discussion of article "Matrices and vectors in MQL5"
You are missing trading opportunities:
- Free trading apps
- Over 8,000 signals for copying
- Economic news for exploring financial markets
Registration
Log in
You agree to website policy and terms of use
If you do not have an account, please register
New article Matrices and vectors in MQL5 has been published:
By using special data types 'matrix' and 'vector', it is possible to create code which is very close to mathematical notation. With these methods, you can avoid the need to create nested loops or to mind correct indexing of arrays in calculations. Therefore, the use of matrix and vector methods increases the reliability and speed in developing complex programs.
Collections of ordered data, wherein all elements have the same type, are usually operated through Arrays, in which each element can be accessed by its index. Arrays are widely used in solving various linear algebra problems, in mathematical modeling tasks, in machine learning, etc. In general terms, the solution of such problems is based on mathematical operations using matrices and vectors, with which very complex transformations can be compactly written in the form of simple formulas. Programming of such operations requires good knowledge in mathematics along with the ability to write complex nested loops. Debugging and bug fixing in such programs can be quite challenging.
By using special data types 'matrix' and 'vector', it is possible to create the code which is very close to mathematical notation while avoiding the need to create nested loops or to mind correct indexing of arrays in calculations. In this article, we will see how to create, initialize, and use matrix and vector objects in MQL5.
Author: MetaQuotes