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ANALISIS Y DISENO DE ALGORITMOS

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Ω(n) is the formal way to express the lower bound of an algorithm's running time
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A greedy algorithm is a simple and efficient algorithmic approach for solving any given problem by selecting the best available option at that moment of time, without bothering about the future results.

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A Greedy algorithm iteratively makes one greedy choice after another, reducing each given problem into a smaller one

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Which of the Red Black Tree Properties are violated on below Red Black Tree.  There may be more than one violation.  Assume every external node is black.

ex4

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A Binomial Heap contains 3 binomial trees of degrees 10, 5, and 1.  How many elements does the heap contain? 

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The Cook-Levin theorem was able to demonstrate that if the 3SAT problem can be solved in Polynomial Time, then at least all NP-Complete Problems don't belong to the P Class.

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θ(n) is the formal way to express both the lower bound and the upper bound of an algorithm's running time
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If tomorrow is proven that P != NP, what may be some of the  Computer Science implications? (Multiple Choice)
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How Cook-Levin used the Boolean Satisfiability Problem in their research? (Select all that applies)

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In the Branch and Bound approach we normally avoid evaluating subtrees that do not contain the solution, we are looking for.

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