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Preallocating a Vector:
There are necessarily two programming techniques that can be used to simulate the cumsum function. One technique is to begin with an empty vector and concatenate each running sum value to the vector. Extending a vector, though, is very ineffective. A better technique is to preallocate the vector to the right size and then change the value of each element to be succeeding running sums. Both techniques will be shown here.
In the function below, the output argument is initialized to the empty vector []. Then, every time the later element in the vector is added to the running sum, this latest sum is appended to the vector.
Square Matrices: If a matrix has similar number of rows and columns, for illustration, if m == n, the matrix is square matrix. The definitions which follow in this part apply
Illustration of Set operations: For illustration, given the vectors as shown below: >> v1 = 2:6 v1 = 2 3 4 5 6 >> v2 = 1:2:7 v2 = 1 3 5 7
printrectarea function: function call: printrectarea(length, width) function header: function printrectarea(len, wid) In the function call, there are two argume
Cross Product: The cross or outer product a × b of two vectors a and b is defined only whenever both a and b are the vectors in three-dimensional space, that means that they b
Print from the structure: To print from the structure, a disp function will show either the whole structure or a field. >> disp(package) item_no: 123 cost: 19.99
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
Structures: The Structures are data structures which group together values which are logically related in what are known as the fields of structure. The benefit of structures
ischar function: The ischar function return the logical true if an array is a character array, or logical false if not. >> vec = 'EK127'; >> ischar(vec) ans =
Algorithm for appex subfunction: The algorithm for appex subfunction is as shown: Receives x & n as the input arguments. Initializes a variable for running sum of t
function numden: The function numden will return individually the numerator & denominator of a symbolic expression: >> sym(1/3 + 1/2) ans = 5/6 >> [n, d] =
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