The only difference between the two of these algorithm's is the person who invented the steps to solving the problems. The disadvantage to both of these are that they are very complex and hard to solve. The advantage is that using these methods can solve math problems that were unsolvable before this strategy was founded.
The Bellman-Ford algorithm computes single-source shortest paths in a weighted digraph.For graphs with only non-negative edge weights, the faster Dijkstra's algorithm also solves the problem. Thus, Bellman-Ford is used primarily for graphs with negative edge weights. The algorithm is named after its developers, Richard Bellman and Lester Ford, Jr.
The answer is the solution to the problem so you are about to solve it with an answer which is the solution. Did you get that?A solution is:"A means of solving a problem or dealing with a difficult situation.The correct answer to a puzzle."When specific to maths, a solution is an answer that fulfills certain criteria, or solves a specific problem. If you have found a solution you have found an answer to the question that works in every case. NOT NECESSARILY A NUMBERA number is even and prime. If you say 8, you have not found a solution because although 8 is even, it is not prime. 2 however is a solution because 2 is both even and prime (the only even prime)One problem can, however, have multiple solutions. If you write the equation:x+3=4you can solve to give x=1.But if you write:x2=4it solves to give x= ±2 (+2 OR -2)When doing applied maths, eg. like Dijkstra's algorithm the solution will be the shortest route from node A to node B. This is not a number, but a pathway.
dijkstra's algorithm (note* there are different kinds of dijkstra's implementation) and growth graph algorithm
No, Dijkstra's algorithm does not work for graphs with negative weights.
Dijkstra's algorithm is used by the OSPF and the IS-IS routing protocols. The last three letters in OSPF (SPF) mean "shortest path first", which is an alternative name for Dijkstra's algorithm.
No, Dijkstra's algorithm cannot handle negative weights in a graph.
Yes, Dijkstra's algorithm is a greedy algorithm because it makes decisions based on the current best option without considering future consequences.
The space complexity of the Dijkstra algorithm is O(V), where V is the number of vertices in the graph.
Main disadvantages:The major disadvantage of the algorithm is the fact that it does a blind searchthere by consuming a lot of time waste of necessary resources.Another disadvantage is that it cannot handle negative edges. This leads toacyclic graphs and most often cannot obtain the right shortest path.
Dijkstra's original algorithm (published in 1959) has a time-complexity of O(N*N), where N is the number of nodes.
Dijkstra's algorithm fails to find the shortest path in a graph when the graph has negative edge weights.
No, Dijkstra's algorithm does not work with negative weights in graphs because it assumes that all edge weights are non-negative.
The fastest algorithm for finding the shortest path in a graph is Dijkstra's algorithm.
No, Dijkstra's algorithm does not work for graphs with negative edge weights because it assumes all edge weights are non-negative.