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Is there an algorithm for the Travelling Salesman problem?
Yes,there is an obvious algorithm to test each possible trip and find the best one. The trouble is the exponential run-time.
Explain first fit algorithm?
A "first fit" algorithm is any algorithm which doesn't care about how "good" a solution is, it just returns the first one that works.
What is the difference between advanced encryption algorithm and encryption algorithm?
People have developed many encryption algorithms. One particular encryption algorithm is the Rijndael algorithm, usually called the AES or Advanced Encryption Standard.
What are the difference between greedy algorithm and dynamic programing?
A greedy algorithm is similar to a dynamic programming algorithm, but the difference is that solutions to the subproblems do not have to be known at each stage; instead a "greedy" choice can be made of what looks best for the moment.
When you choose iterative or recursive algorithm?
If you cannot find any iterative algorithm for the problem, you have to settle for a recursive one.
What is the best search algorithm to use for an unsorted array?
The best search algorithm to use for an unsorted array is linear search. It involves checking each element in the array one by one until the desired element is found. This algorithm has a time complexity of O(n), where n is the number of elements in the array.
Is there an algorithm for the Travelling Salesman problem?
Yes,there is an obvious algorithm to test each possible trip and find the best one. The trouble is the exponential run-time.
How can one determine tight asymptotic bounds for a given algorithm's time complexity?
To determine tight asymptotic bounds for an algorithm's time complexity, one can analyze the algorithm's performance in the best and worst-case scenarios. This involves calculating the upper and lower bounds of the algorithm's running time as the input size approaches infinity. By comparing these bounds, one can determine the tightest possible growth rate of the algorithm's time complexity.
How can one determine the lower bound for a given problem or algorithm?
To determine the lower bound for a problem or algorithm, one can analyze the best possible performance that any algorithm can achieve for that problem. This involves considering the inherent complexity and constraints of the problem to establish a baseline for comparison with other algorithms.
Which is one of pre-emptive scheduling algorithm?
Priority based algorithm
What is the best case scenario for the Bubble Sort algorithm in terms of efficiency and performance?
The best case scenario for the Bubble Sort algorithm is when the input data is already sorted. In this case, the algorithm will only need to make one pass through the data to confirm that it is sorted, resulting in a time complexity of O(n). This makes it efficient and fast for sorting already sorted data.
Explain first fit algorithm?
A "first fit" algorithm is any algorithm which doesn't care about how "good" a solution is, it just returns the first one that works.
Where can one find information on the best property brokers?
There are many websites on-line where people can go to get good information on the best property brokers in their area. One such site is the webpage Yelp.
What is the difference between advanced encryption algorithm and encryption algorithm?
People have developed many encryption algorithms. One particular encryption algorithm is the Rijndael algorithm, usually called the AES or Advanced Encryption Standard.
What are the difference between greedy algorithm and dynamic programing?
A greedy algorithm is similar to a dynamic programming algorithm, but the difference is that solutions to the subproblems do not have to be known at each stage; instead a "greedy" choice can be made of what looks best for the moment.
When you choose iterative or recursive algorithm?
If you cannot find any iterative algorithm for the problem, you have to settle for a recursive one.
What is the property of a obtuse angled triangle?
The basic property that one of its angles is obtuse. There are very many other properties that can be derived from this.
