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What is the relationship between the growth rate of a function and the shape of an n log n graph?
The growth rate of a function is related to the shape of an n log n graph in that the n log n function grows faster than linear functions but slower than quadratic functions. This means that as the input size increases, the n log n graph will increase at a rate that is between linear and quadratic growth.
How does the function t(n) 2t(n/2) log n behave as the input size n increases?
As the input size n increases, the function t(n) 2t(n/2) log n behaves in a logarithmic manner.
How can you simplify the expression log(log(n))?
To simplify the expression log(log(n)), you can rewrite it as log(n) / log(10).
How does the function t(n) 2t(n/2) n2 relate to the time complexity of a given algorithm?
The function t(n) 2t(n/2) n2 represents the time complexity of an algorithm using the divide and conquer approach. This type of function is often associated with algorithms like merge sort or quicksort, which have a time complexity of O(n log n).
What is the time complexity of an algorithm that utilizes a binary search algorithm to search through a sorted array, where the search time is represented by the function log(n) in terms of the input size n?
The time complexity of an algorithm that uses a binary search on a sorted array is O(log n), where n is the size of the input array.
Is 0 a polynomial?
A polynomial is a function which can take the form: f(x) = sum(a_n * x^n) where n is a nonnegative integer. 0 is the constant function which can be represented in the form above by taking a_n = 0 for all n.
What is the relationship between the growth rate of a function and the shape of an n log n graph?
The growth rate of a function is related to the shape of an n log n graph in that the n log n function grows faster than linear functions but slower than quadratic functions. This means that as the input size increases, the n log n graph will increase at a rate that is between linear and quadratic growth.
How do you calculate Log2 in Excel?
Use the LOG function. =LOG(n,b) n = Number b = Base =LOG(2,10) = 0.30103
How does the function t(n) 2t(n/2) log n behave as the input size n increases?
As the input size n increases, the function t(n) 2t(n/2) log n behaves in a logarithmic manner.
What is the definition of non polynomial?
Actually, it is easier to define a polynomial as a function of a variable, x, in the form:p(x) = anxn + an-1xn-1 + ... + a2x2 + a1x + a0 where n is an integer and the ai are constants. A non-polynomial, then, is any function of x which contains one or more terms in x which are not in the form akxk.
What is the difference between a power functions and a polynomial functions?
A power function is of the form xa where a is a real number. A polynomial function is of the form anxn + an-1xn-1 + ... + a1x + a0 for some positive integer n, and all the ai are real constants.
How many terms can a polynomial have?
As many as you like. The highest power of the variable in question (usually x) defines the degree of the polynomial. If the degree is n, the polynomial can have n+1 terms. (If there are more then the polynomial can be reduced.) But there is NO LIMIT to the value of n.
How can you simplify the expression log(log(n))?
To simplify the expression log(log(n)), you can rewrite it as log(n) / log(10).
Differentiate between polynomial algorithm and exponential algorithm?
Do you mean, "the difference between an algorithm that runs in polynomial time, and one that runs in exponential time".First a real quick review. A polynomial is any equation of the formy = cmxm + ... + c2x2 + c1x + c0 ,where ci are constantsAn exponential function is something of the formy = cxThese functions grow much faster than any polynomial function.So, if T(n) describes the runtime of an algorithm as a function of whatever (# of inputs, size of input, etc.)., and T(n) can be bound above by any polynomic function, then we say that algorithm runs in polynomial time.If it can't be bound above by a polynomial function, but can be bound above by an exponential function, we say it runs in exponential time.Note how ugly an exponential algorithm is. By adding one more input, we roughly double (or triple, whatever c is) the run-time.
What is a polynomial function?
A polynomial function of a variable, x, is a function whose terms consist of constant coefficients and non-negative integer powers of x. The general form is p(x) = a0 + a1*x + a2*x^2 + a3*x^3 + ... + an*x^n where a0, a1, ... , an are constants.
What is the opposite of this polynomial m - n?
-m+n
How many terms does the polynomial have?
As many as you like. A polynomial in 1 variable, and of degree n, can have n+1 terms where n is any positive integer.
