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defines a variable named array (or assigns a new value to an existing variable with the name array) which is an array consisting of the values 1, 3, 5, 7, and 9. That is, the array starts at 1 (the initial value), increments with each step from the previous value by 2 (the increment value), and stops once it reaches (or is about to exceed) 9 ...
Consider the following MATLAB code: x = 0 : 999 ; % Create an array of numbers from 0 to 999 (range is inclusive) y = sin ( x ) + 4 ; % Take the sine of x (element-wise) and add 4 to each element The same syntax can be achieved in C++ by using function and operator overloading:
In computer programming, a loop counter is a control variable that controls the iterations of a loop (a computer programming language construct). It is so named because most uses of this construct result in the variable taking on a range of integer values in some orderly sequences (for example., starting at 0 and ending at 10 in increments of 1)
However, the above C++ code does not ensure perfect simultaneity, since the right side of the following code a = b, b = a+1 is evaluated after the left side. In languages such as Python, a, b = b, a+1 will assign the two variables concurrently, using the initial value of a to compute the new b.
The MATLAB language introduces the left-division operator \ to maintain the essential part of the analogy with the scalar case, therefore simplifying the mathematical reasoning and preserving the conciseness: A \ (A * x)==A \ b (A \ A)* x ==A \ b (associativity also holds for matrices, commutativity is no more required) x = A \ b
When the variable type is single (a single-precision floating-point number), Octave calculates the "mean" in the single-domain (MATLAB in double-domain) which is faster but gives less accurate results; Blocks can also be terminated with more specific Control structure keywords, i.e., endif, endfor, endwhile, etc.;
Well, there is a compiler that allows one to run matlab code outside the matlab environment. -- Jitse Niesen ( talk ) 15:59, 2 January 2009 (UTC) [ reply ] If you read the link you provided, you will see that so called "compiled" m-files are completely dependent on the Matlab runtime, which must be either packaged with the executable or ...
The code-rate is hence a real number. A low code-rate close to zero implies a strong code that uses many redundant bits to achieve a good performance, while a large code-rate close to 1 implies a weak code. The redundant bits that protect the information have to be transferred using the same communication resources that they are trying to protect.