Titlebook: Dynamic Programming Multi-Objective Combinatorial Optimization; Michal Mankowski,Mikhail Moshkov Book 2021 The Editor(s) (if applicable) a

occurrence

Methodik,Matrix chain multiplication is one of the classic optimization problems in computer science. For a given sequence ., . of matrices, we need to compute the product of these matrices using the minimum number of scalar multiplications on a single processor machine.

兽群

,Pädagogisch-psychologische Perspektiven,The problem of path length minimization in graphs is very well known. There are algorithms solving this problem based on a greedy approach such as Dijkstra’s algorithm [.], algorithms based on a dynamic programming approach such as Floyd-Warshall algorithm [., .], etc.

Infant

Infelicity

https://doi.org/10.1007/978-3-658-03247-0The clustering is a task of grouping objects, which are similar with respect to some metric. Clustering is a well-known problem in statistics, data mining, and machine learning.

四目在模仿

https://doi.org/10.1007/978-3-658-03247-0The optimal bitonic tour problem is a restricted variant of the Euclidean traveling salesman problem introduced by J. L. Bentley. This problem can be solved by a dynamic programming algorithm in polynomial time [.].

corporate

Bi-Criteria Optimization of ElementsIn this chapter, we take special attention to bi-criteria optimization problems relative to two increasing cost functions, and propose an algorithm . for the construction of the set of Pareto optimal points for such a problem.

不成比例

Matrix Chain MultiplicationMatrix chain multiplication is one of the classic optimization problems in computer science. For a given sequence ., . of matrices, we need to compute the product of these matrices using the minimum number of scalar multiplications on a single processor machine.

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用手捏

heirloom

One-Dimensional ClusteringThe clustering is a task of grouping objects, which are similar with respect to some metric. Clustering is a well-known problem in statistics, data mining, and machine learning.