problem2 sol1 Algorithm
The problem2 sol1 algorithm is a problem-solving approach designed to find the optimal solution for a given problem. It consists of defining the problem, identifying possible solutions, and then evaluating the effectiveness of each solution based on predefined criteria. The primary goal of this algorithm is to break down complex problems into simpler components and to provide an effective and efficient solution to the problem at hand.
The algorithm begins with a clear definition of the problem, including the desired outcome and any constraints or limitations. Next, potential solutions are generated through brainstorming or researching existing solutions. Each possible solution is then evaluated based on its feasibility, effectiveness in addressing the problem, and the resources required for implementation. The algorithm often involves iterating through this process multiple times, refining solutions as necessary until the most optimal solution is found. This structured approach to problem-solving ensures that all relevant factors are considered and that the best possible solution is selected for implementation.
# Each new term in the Fibonacci sequence is generated by adding the previous two terms.
# By starting with 1 and 2, the first 10 terms will be:
# 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, ...
# By considering the terms in the Fibonacci sequence whose values do not exceed four million,
# find the sum of the even-valued terms.
even_fib_sum = 0
fib_first = 1
fib_second = 2
while fib_second < 4000000
even_fib_sum += fib_second if fib_second.even?
fib_second += fib_first
fib_first = fib_second - fib_first
end
p even_fib_sum
