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  2. Flyweight pattern - Wikipedia

    en.wikipedia.org/wiki/Flyweight_pattern

    The flyweight pattern is useful when dealing with a large number of objects that share simple repeated elements which would use a large amount of memory if they were individually embedded. It is common to hold shared data in external data structures and pass it to the objects temporarily when they are used.

  3. Observer pattern - Wikipedia

    en.wikipedia.org/wiki/Observer_pattern

    The observer design pattern is a behavioural pattern listed among the 23 well-known "Gang of Four" design patterns that address recurring design challenges in order to design flexible and reusable object-oriented software, yielding objects that are easier to implement, change, test and reuse.

  4. Largest differencing method - Wikipedia

    en.wikipedia.org/wiki/Largest_differencing_method

    This single number is the difference in sums between the two subsets. For example, if S = {8,7,6,5,4}, then the resulting difference-sets are {6,5,4,1} after taking out the largest two numbers {8,7} and inserting the difference 8-7=1 back; Repeat the steps and then we have {4,1,1}, then {3,1} then {2}.

  5. Model–view–viewmodel - Wikipedia

    en.wikipedia.org/wiki/Model–view–viewmodel

    Model–view–viewmodel (MVVM) is an architectural pattern in computer software that facilitates the separation of the development of a graphical user interface (GUI; the view)—be it via a markup language or GUI code—from the development of the business logic or back-end logic (the model) such that the view is not dependent upon any ...

  6. Multiway number partitioning - Wikipedia

    en.wikipedia.org/wiki/Multiway_number_partitioning

    [1]: sec.5 The problem is parametrized by a positive integer k, and called k-way number partitioning. [2] The input to the problem is a multiset S of numbers (usually integers), whose sum is k*T. The associated decision problem is to decide whether S can be partitioned into k subsets such that the sum of each subset is exactly T.

  7. Carry-skip adder - Wikipedia

    en.wikipedia.org/wiki/Carry-skip_adder

    The problem of determining the block sizes and number of levels required to make the physically fastest carry-skip adder is known as the 'carry-skip adder optimization problem'. This problem is made complex by the fact that a carry-skip adders are implemented with physical devices whose size and other parameters also affects addition time.

  8. Carry-save adder - Wikipedia

    en.wikipedia.org/wiki/Carry-save_adder

    A carry-save adder [1] [2] [nb 1] is a type of digital adder, used to efficiently compute the sum of three or more binary numbers. It differs from other digital adders in that it outputs two (or more) numbers, and the answer of the original summation can be achieved by adding these outputs together.

  9. Maximum subarray problem - Wikipedia

    en.wikipedia.org/wiki/Maximum_subarray_problem

    For example, for the array of values [−2, 1, −3, 4, −1, 2, 1, −5, 4], the contiguous subarray with the largest sum is [4, −1, 2, 1], with sum 6. Some properties of this problem are: If the array contains all non-negative numbers, then the problem is trivial; a maximum subarray is the entire array.