Best Keyword Cover Search
... It is common that the objects in a spatial database (e.g., restaurants/hotels) are associated with keyword(s) to indicate their businesses/services/features. An interesting problem known as Closest Keywords search is to query objects, called keyword cover, which together cover a set of query keyword ...
... It is common that the objects in a spatial database (e.g., restaurants/hotels) are associated with keyword(s) to indicate their businesses/services/features. An interesting problem known as Closest Keywords search is to query objects, called keyword cover, which together cover a set of query keyword ...
Swarm Intelligence based Soft Computing Techniques for the
... optimization) in general. It means that one objective is optimized at the cost of other objective. The multi objective optimization problems are difficult but realistic, because of their broad applicability, optimization problems have been studied by researchers with various backgrounds. This gives ...
... optimization) in general. It means that one objective is optimized at the cost of other objective. The multi objective optimization problems are difficult but realistic, because of their broad applicability, optimization problems have been studied by researchers with various backgrounds. This gives ...
Oscillatory Instabilities and Dynamics of Multi-Spike Patterns for the
... for D = O(ε2 ) (cf. [27]), the existence and stability of equilibrium spike patterns for D = O(1) (cf. [4], [5], [22], [21], [17], [19]), and the slow dynamics of quasi-equilibrium spike patterns (cf. [2], [3], [31]). More generally, there has been several formal asymptotic studies of spike motion f ...
... for D = O(ε2 ) (cf. [27]), the existence and stability of equilibrium spike patterns for D = O(1) (cf. [4], [5], [22], [21], [17], [19]), and the slow dynamics of quasi-equilibrium spike patterns (cf. [2], [3], [31]). More generally, there has been several formal asymptotic studies of spike motion f ...
108_01_basics
... Able to tell what an algorithm is and have some understanding why we study algorithms ...
... Able to tell what an algorithm is and have some understanding why we study algorithms ...
Knapsack problem
The knapsack problem or rucksack problem is a problem in combinatorial optimization: Given a set of items, each with a mass and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as large as possible. It derives its name from the problem faced by someone who is constrained by a fixed-size knapsack and must fill it with the most valuable items.The problem often arises in resource allocation where there are financial constraints and is studied in fields such as combinatorics, computer science, complexity theory, cryptography and applied mathematics.The knapsack problem has been studied for more than a century, with early works dating as far back as 1897. It is not known how the name ""knapsack problem"" originated, though the problem was referred to as such in the early works of mathematician Tobias Dantzig (1884–1956), suggesting that the name could have existed in folklore before a mathematical problem had been fully defined.