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  2. Comparison of data structures - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data_structures

    Here are time complexities [5] of various heap data structures. The abbreviation am. indicates that the given complexity is amortized, otherwise it is a worst-case complexity. For the meaning of "O(f)" and "Θ(f)" see Big O notation. Names of operations assume a max-heap.

  3. Data structure - Wikipedia

    en.wikipedia.org/wiki/Data_structure

    A data structure known as a hash table.. In computer science, a data structure is a data organization and storage format that is usually chosen for efficient access to data. [1] [2] [3] More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data, [4] i.e., it is an algebraic structure about data.

  4. Theoretical computer science - Wikipedia

    en.wikipedia.org/wiki/Theoretical_computer_science

    Usually, efficient data structures are key to designing efficient algorithms. Some formal design methods and programming languages emphasize data structures, rather than algorithms, as the key organizing factor in software design. Storing and retrieving can be carried out on data stored in both main memory and in secondary memory.

  5. Bayesian operational modal analysis - Wikipedia

    en.wikipedia.org/wiki/Bayesian_Operational_Modal...

    The (input) excitations to the structure are not measured but are assumed to be 'ambient' ('broadband random'). In a Bayesian context, the set of modal parameters are viewed as uncertain parameters or random variables whose probability distribution is updated from the prior distribution (before data) to the posterior distribution (after data).

  6. Bootstrap aggregating - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_aggregating

    Pros and Cons of Random Forests and Bagging Pros Cons There are overall less requirements involved for normalization and scaling, making the use of random forests more convenient. [8] The algorithm may change significantly if there is a slight change to the data being bootstrapped and used within the forests. [9]

  7. Search algorithm - Wikipedia

    en.wikipedia.org/wiki/Search_algorithm

    Specific applications of search algorithms include: Problems in combinatorial optimization, such as: . The vehicle routing problem, a form of shortest path problem; The knapsack problem: Given a set of items, each with a weight 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 ...

  8. What is a land lease, and how do they work? - AOL

    www.aol.com/finance/land-lease-203418242.html

    Cons. Potential for lease increases: The most notable downside to a land lease is the potential for rising costs — an issue that can create major trouble for mobile homeowners. In recent years ...

  9. Association rule learning - Wikipedia

    en.wikipedia.org/wiki/Association_rule_learning

    Many algorithms for generating association rules have been proposed. Some well-known algorithms are Apriori, Eclat and FP-Growth, but they only do half the job, since they are algorithms for mining frequent itemsets. Another step needs to be done after to generate rules from frequent itemsets found in a database.