int main (void) { puts ("Cosine of 60° is 1/2"); return 0; }
Sorting in programming is the process of arranging elements in some prescribed order. An example might be, given arrays of people's names and birthdates, to sort them by birthdate.
To find the logarithmic cosine in a logarithm table or log book, you would need to first look up the logarithm of the cosine of the angle given. Locate the logarithm value of cosine in the log book corresponding to the angle provided, and this will give you the result.
Given the hypotenuse and the base ...-- divide the (base) by the (hypotenuse); get a number less than '1'.-- the number is the 'cosine' of the elevation angle.-- either take the cos-1 of the number on a calculator, which is the angleOR-- look up the number in a table of cosines and see what angle it represents.
Explain the following terms in the context of object oriented programming. Also explain how these concepts are implemented in C++ by giving an example program for each.
signature? What is the name given to code patterns of viruses?
Dependent on what side you are given you would use Sin(Θ) = Opposite/Hypotenuse just rearrange the formula to Hypotenuse = Opposite/Sin(Θ). Or if you are given the adjacent side use Cosine(Θ)=Adjacent/Hypotenuse, then: Hypotenuse = Adjacent/Cosine(Θ)
In the minimum coin change problem using dynamic programming, the minimum number of coins required to make a given amount of change is calculated by finding the optimal combination of coins that add up to that amount. This involves breaking down the problem into subproblems and finding the minimum number of coins needed for each subproblem. The final answer is the minimum number of coins needed to make the given amount of change.
This is the definition of an algorithm - a list of orders of how to solve a given programming problem.
A population is a number of living things in a given area. The word is most commonly used to refer to a number of people that live within a given boundary.
You can use the cosine rule to calculate the central angle.
It is a cube number as for example 3*3*3 = 27 which is a cube number.
An example of the set cover problem is selecting the fewest number of sets to cover all elements in a given collection. In combinatorial optimization, this problem is typically approached using algorithms like greedy algorithms or integer linear programming to find the optimal solution efficiently.