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A prime gap is the difference between two successive prime numbers. The n -th prime gap, denoted gn or g ( pn) is the difference between the ( n + 1)-st and the n -th prime numbers, i.e. We have g1 = 1, g2 = g3 = 2, and g4 = 4. The sequence ( gn) of prime gaps has been extensively studied; however, many questions and conjectures remain unanswered.
GAP insurance covers the amount on a loan that is the difference between the amount owed and the amount covered by another insurance policy. Some GAP policies also cover the deductible. [3] This coverage is marketed for low down payment loans, high interest rate loans and loans with 60 month or longer terms.
The set cover problem is a classical question in combinatorics, computer science, operations research, and complexity theory. Given a set of elements {1, 2, …, n} (called the universe) and a collection S of m subsets whose union equals the universe, the set cover problem is to identify the smallest sub-collection of S whose union equals the ...
Gap insurance may help if you total your car while still owing on your car loan. ... Luckily, you have gap insurance, which will help cover the remaining $5,000 owed on your car loan.
Your insurer, however, factors depreciation into your claim payout and only gives you $20,000. In this instance, gap insurance could help cover the remaining $5,000 you owe on your auto loan.
Guaranteed asset protection insurance (or GAP Insurance) is an insurance coverage offered as a supplement to automobile insurance policies or auto loans. A GAP policy covers the difference between the value of a car (i.e., what the insurance company will typically pay) and what the borrower owes on the loan if the car is totaled or stolen ...
Gap insurance would cover the $3,000 difference between what you owe on your car and its current market value, after accounting for deductibles. Some policies also cover the deductible, but this ...
In graph theory, a vertex cover (sometimes node cover) of a graph is a set of vertices that includes at least one endpoint of every edge of the graph. In computer science, the problem of finding a minimum vertex cover is a classical optimization problem. It is NP-hard, so it cannot be solved by a polynomial-time algorithm if P ≠ NP.
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