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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)
(x 2)*(x-1)
The function subs will replace a value for the symbolic variable in an expression. For illustration,
>> myexp = x^3 + 3*x^2 - 2
myexp =
x^3 3*x^2-2
>> x = 3;
>> subs(myexp,x)
52
With symbolic math, a MATLAB works by the default with rational numbers means that the outcomes are kept in fractional forms. For illustration, executing the addition 1/3 + 1/2 would generally answer in a double value:
>> 1/3 + 1/2
0.8333
Though, by making the expression symbolic, the outcome is symbolic also. Any numeric function (example, double) could modify that:
>> sym(1/3 + 1/2)
5/6
>> double(ans)
Displaying expressions: The good-looking function will show such expressions by using exponents; for illustration, >> b = sym('x^2') b = x^2 >> pretty(b)
Matrix solutions to systems of the linear algebraic equations: The linear algebraic equation is an equation of the form a 1 x 1 + a 2 x 2 + a 3 x 3 . . . . a n x n
Interchange rows : for illustration interchanging rows ri and rj is written as
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
Illustration of symbolic variable: When, on the other hand, z is a symbolic variable to start with, quotes are not required around the expression, and the words are automatica
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
Function strncmp: The function strncmp compares only the first n characters in the strings and ignores the rest. The initial two arguments are strings to compare, and third ar
Symbolic Variables and expressions: The MATLAB has a type known as sym for the symbolic variables and expressions; these work with strings. The illustration, to generate a sym
Interpolation and extrapolation: In most cases, it is desired to estimate values other than at the sampled data points. For illustration, we may want to estimate what the temp
Program of passing arguments to functions: This was an illustration of a function which did not receive any input arguments nor did it return any output arguments; it easily a
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