f(n)=15n2+5n
very small
A billion - 109.
One kilo can be expressed in scientific notation as 10^3.
Scientific notation is a way of writing a number that is too big or small to say. ex. 1,850,000,000,000 in scientific notation is 1.85 x 1012 .000000000014 in scientific notation is 1.4 x 10-11 You do this by moving the decimal point until you have a number between 1 and 10. Then you write that number x 10 to the power of the number of spaces you moved the decimal point. If your decimal is moved to the left, your exponent is positive, move it to the right and your exponent is negative.
scientists use scientific notation to reduce the number of zeros in very big and very small numbers. -----by khandkar.
The difference between Big O notation and Big Omega notation is that Big O is used to describe the worst case running time for an algorithm. But, Big Omega notation, on the other hand, is used to describe the best case running time for a given algorithm.
omega notation please see this website http://en.wikipedia.org/wiki/Merge_sort
In algorithm analysis, Big O notation is used to describe the upper bound of an algorithm's time complexity. Induction is a mathematical proof technique used to show that a statement holds true for all natural numbers. In algorithm analysis, induction can be used to prove the time complexity of an algorithm by showing that the algorithm's running time follows a certain pattern. The relationship between Big O notation and induction lies in using induction to prove the time complexity described by Big O notation for an algorithm.
Big O notation allows to specify the complexity of an algorithm in a simple formula, by dismissing lower-order variables and constant factors.For example, one might say that a sorting algorithm has O(n * lg(n)) complexity, where n is the number of items to sort.Big O notation is used in Computer Science to describe the performance or complexity of an algorithm. Big O specifically describes the worst-case scenario, and can be used to describe the execution time required or the space used (e.g. in memory or on disk) by an algorithm.
The Big O notation of the selection sort algorithm is O(n2), indicating that its time complexity is quadratic.
The time complexity of multiplication operations is O(n2) in terms of Big O notation.
It doesn't make them totally hypoallergenic. However, it does clear the fur. If you groom their hair everyday and give them omega 3 and omega 6 fatty acid, it won't be a a big problem for people with allergies.
The Big O notation of Quicksort algorithm is O(n log n) in terms of time complexity.
The time complexity of Quicksort algorithm is O(n log n) in terms of Big O notation.
very small
A billion - 109.
Alpha: The Leader of the Pack. Omega: The lowest member of the Pack.