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Anonymous Functions:
The anonymous function is a very easy, one-line function. The benefit of an anonymous function is that it does not have to be stored in an M-file. This can deeply simplify the programs, as often computations are very easy, and the use of anonymous functions decreases the number of M-files essential for a program. The Anonymous functions can be generated in the Command Window or in any script. The format for an anonymous function is as shown below:
fnhandle = @ (arguments) functionbody
here fnhandle stores the function handle; it is necessarily a way of referring to the function. The handle is assigned to this name by using the @ operator. The arguments, in the parentheses, correspond to the argument(s) which are passed to the function, merely like any other type of function. The function body is the body of the function that is any valid MATLAB expression. For illustration, here is an anonymous function which computes and returns the area of a circle:
>> cirarea = @ (radius) pi * radius .^2;
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
Illustration of anonymous functions: Dissimilar functions stored in the M-files, when no argument is passed to an anonymous function, the parentheses should still be in the fu
Algorithm for the function explaine: The algorithm for the function explaine is as shown: Print a description of e, the exp function, and how to find the approximate va
Illustration of Image processing: This displays that there are 64 rows, or in another word, 64 colors, in this specific colormap. It also displays that the first five colors a
Polyhedron - graphics objects: The field polyhedron.vertices is a matrix in which each row presents (x,y,z) points. The field polyhedron.faces defines the faces: for illustrat
Logical scalar values: The MATLAB also has or and and operators which work element wise for the matrices: These operators will compare any of the two vectors or matric
i want to run 4 instances of my matlab code on 4 processor cores. im executing the job from head node. i created a parallel job and assigned number of workers. but i don''t get bac
Basic mathematical operations: All the basic mathematical operations can be executed on symbolic expressions and variables (example, add, raise to a power, multiply, subtract,
Reduced Row Echelon Form: The Gauss Jordan technique results in a diagonal form; for illustration, for a 3 × 3 system: The Reduced Row Echelon Forms take this one step
Expanding a function: The expand function will multiply out terms, and factor will do the opposite: >> expand((x+2)*(x-1)) ans = x^2 x-2 >> factor(ans)
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