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  2. Bin packing problem - Wikipedia

    en.wikipedia.org/wiki/Bin_packing_problem

    The bin packing problem can also be seen as a special case of the cutting stock problem. When the number of bins is restricted to 1 and each item is characterized by both a volume and a value, the problem of maximizing the value of items that can fit in the bin is known as the knapsack problem.

  3. Knapsack problem - Wikipedia

    en.wikipedia.org/wiki/Knapsack_problem

    Knapsack problems appear in real-world decision-making processes in a wide variety of fields, such as finding the least wasteful way to cut raw materials, [3] selection of investments and portfolios, [4] selection of assets for asset-backed securitization, [5] and generating keys for the Merkle–Hellman [6] and other knapsack cryptosystems.

  4. Continuous knapsack problem - Wikipedia

    en.wikipedia.org/wiki/Continuous_knapsack_problem

    In theoretical computer science, the continuous knapsack problem (also known as the fractional knapsack problem) is an algorithmic problem in combinatorial optimization in which the goal is to fill a container (the "knapsack") with fractional amounts of different materials chosen to maximize the value of the selected materials.

  5. List of knapsack problems - Wikipedia

    en.wikipedia.org/wiki/List_of_knapsack_problems

    The knapsack problem is one of the most studied problems in combinatorial optimization, with many real-life applications. For this reason, many special cases and generalizations have been examined. For this reason, many special cases and generalizations have been examined.

  6. Cutting stock problem - Wikipedia

    en.wikipedia.org/wiki/Cutting_stock_problem

    This method solves the cutting-stock problem by starting with just a few patterns. It generates additional patterns when they are needed. For the one-dimensional case, the new patterns are introduced by solving an auxiliary optimization problem called the knapsack problem, using dual variable information from the linear program.

  7. Distributed constraint optimization - Wikipedia

    en.wikipedia.org/wiki/Distributed_constraint...

    A DCOP is a problem in which a group of agents must distributedly choose values for a set of variables such that the cost of a set of constraints over the variables is minimized. Distributed Constraint Satisfaction is a framework for describing a problem in terms of constraints that are known and enforced by distinct participants (agents).

  8. Top 10 moments on 'The View' in 2024: Kamala Harris bungles ...

    www.aol.com/top-10-moments-view-2024-100016348.html

    Kamala Harris' Bungled Answer On ‘The View’ About Biden Seen As Turning Point For Campaign. During a live interview on the show in October, co-host Sunny Hostin asked the vice president if ...

  9. Packing problems - Wikipedia

    en.wikipedia.org/wiki/Packing_problems

    The hexagonal packing of circles on a 2-dimensional Euclidean plane. These problems are mathematically distinct from the ideas in the circle packing theorem.The related circle packing problem deals with packing circles, possibly of different sizes, on a surface, for instance the plane or a sphere.