Indexing into vectors of structures, MATLAB in Engineering

Indexing into Vectors of structures:

Frequently, when the data structure is a vector of structures, it is essential to iterate through the vector in order by various fields. For illustration, for the packages vector defined formerly, it may be essential to iterate in order by the cost, or by the price fields. Instead of sorting the whole vector of structures depends on these fields, it may be more proficient to index into the vector depend on these fields, for illustration, to have an index vector based on cost and the other based on price.

1120_Indexing into Vectors of structures.png

Such index vectors would be generated as before, comparing the fields but exchanging the values in the index vectors. The index vectors have been once created, then they can be used to iterate through the packages vector in the preferred order 

 

Posted Date: 10/22/2012 7:53:33 AM | Location : United States







Related Discussions:- Indexing into vectors of structures, Assignment Help, Ask Question on Indexing into vectors of structures, Get Answer, Expert's Help, Indexing into vectors of structures Discussions

Write discussion on Indexing into vectors of structures
Your posts are moderated
Related Questions
Illustration of Passing arguments to functions: Here is an illustration of calling this function: >> printrand() The random # is 0.94 As nothing is passed to

Function used in binary search: The function below implements this binary search algorithm. It receives two arguments: the sorted vector and a key (on the other hand, the func

Dot Product: The dot or inner product of two vectors a and b is written as a • b and is defined as  In another words, this is like matrix multiplication when multiplyi

Illustration sorting vectors of structures: This function sorts the structures depend only on the price field. A more common function is shown next, that receives a string whi

Set Operations: The MATLAB has numerous built-in functions which perform set operations on vectors. These involve intersect, union, setdiff, unique, and setxor. All these func

Illustration of gauss-jordan elimination: An illustration of interchanging rows would be r1 ¬→ r3, that would results: Now, beginning with this matrix, an illustration of sc

Forward substitution: The Forward substitution (done methodically by first getting a 0 in the a 21 place, and then a 31 , and lastly a 32 ): For the Gauss technique,

Creating a cell array: The other method of creating a cell array is easy to assign values to particular array elements and build it up element by element. Though, as explained

Technique to create Nested structures: This technique is the most proficient. Though, the other technique is to build the nested structure one field at a time. As this is a ne

Intersect function and setdiff function: The intersect function rather than returns all the values which can be found in both of the input argument vectors. >> intersect(v