static problems in this context and solved by static algorithms) have meaningful dynamic versions. Incremental algorithms, or online algorithms, are algorithms...

complex algorithms, there has been substantial research on creating and analyzing algorithms that approximate a solution. The knapsack problem, though...

branch-and-bound algorithm. There are a few variations to the greedy algorithm: Pure greedy algorithms Orthogonal greedy algorithms Relaxed greedy algorithms Greedy...

well known algorithms exist for solving this problem and its variants. Dijkstra's algorithm solves the single-source shortest path problem with non-negative...

Dynamic programming is both a mathematical optimization method and an algorithmic paradigm. The method was developed by Richard Bellman in the 1950s and...

perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can use conditionals...

algorithm Page replacement algorithm Algorithms for calculating variance Ukkonen's algorithm A problem exemplifying the concepts of online algorithms...

Although this problem can be solved using several different algorithmic techniques, including brute force, divide and conquer, dynamic programming, and...

First). It is also employed as a subroutine in other algorithms such as Johnson's algorithm. The algorithm uses a min-priority queue data structure for selecting...

for Exponential-Time Dynamic Programming Algorithms". Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms. pp. 1783–1793. doi:10...