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  2. Lagrange multiplier - Wikipedia

    en.wikipedia.org/wiki/Lagrange_multiplier

    For example, in economics the optimal profit to a player is calculated subject to a constrained space of actions, where a Lagrange multiplier is the change in the optimal value of the objective function (profit) due to the relaxation of a given constraint (e.g. through a change in income); in such a context is the marginal cost of the ...

  3. Junction tree algorithm - Wikipedia

    en.wikipedia.org/wiki/Junction_tree_algorithm

    Example of a junction tree. The junction tree algorithm (also known as 'Clique Tree') is a method used in machine learning to extract marginalization in general graphs.In essence, it entails performing belief propagation on a modified graph called a junction tree.

  4. Bin packing problem - Wikipedia

    en.wikipedia.org/wiki/Bin_packing_problem

    For every >, their algorithm finds a solution with size at most (+) + and runs in time (⁡ (/)) + (), where () denotes a function only dependent on /. For this algorithm, they invented the method of adaptive input rounding : the input numbers are grouped and rounded up to the value of the maximum in each group.

  5. Beam search - Wikipedia

    en.wikipedia.org/wiki/Beam_search

    The beam width bounds the memory required to perform the search. Since a goal state could potentially be pruned, beam search sacrifices completeness (the guarantee that an algorithm will terminate with a solution, if one exists). Beam search is not optimal (that is, there is no guarantee that it will find the best solution).

  6. Adaptive step size - Wikipedia

    en.wikipedia.org/wiki/Adaptive_step_size

    In mathematics and numerical analysis, an adaptive step size is used in some methods for the numerical solution of ordinary differential equations (including the special case of numerical integration) in order to control the errors of the method and to ensure stability properties such as A-stability. Using an adaptive stepsize is of particular ...

  7. Apriori algorithm - Wikipedia

    en.wikipedia.org/wiki/Apriori_algorithm

    All the itemsets of size 1 have a support of at least 3, so they are all frequent. The next step is to generate a list of all pairs of the frequent items. For example, regarding the pair {1,2}: the first table of Example 2 shows items 1 and 2 appearing together in three of the itemsets; therefore, we say item {1,2} has support of three.

  8. Dining philosophers problem - Wikipedia

    en.wikipedia.org/wiki/Dining_philosophers_problem

    In computer science, the dining philosophers problem is an example problem often used in concurrent algorithm design to illustrate synchronization issues and techniques for resolving them. It was originally formulated in 1965 by Edsger Dijkstra as a student exam exercise, presented in terms of computers competing for access to tape drive ...

  9. Bridge pattern - Wikipedia

    en.wikipedia.org/wiki/Bridge_pattern

    The Bridge design pattern is one of the twenty-three well-known GoF design patterns that describe how to solve recurring design problems to design flexible and reusable object-oriented software, that is, objects that are easier to implement, change, test, and reuse.