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  2. Assignment problem - Wikipedia

    en.wikipedia.org/wiki/Assignment_problem

    This is an unbalanced assignment problem. One way to solve it is to invent a fourth dummy task, perhaps called "sitting still doing nothing", with a cost of 0 for the taxi assigned to it. This reduces the problem to a balanced assignment problem, which can then be solved in the usual way and still give the best solution to the problem.

  3. Research question - Wikipedia

    en.wikipedia.org/wiki/Research_question

    Choosing a research question is the central element of both quantitative and qualitative research and in some cases it may precede construction of the conceptual framework of study; in all cases, it makes the theoretical assumptions in the framework more explicit and indicates what the researcher wants to know most and first.

  4. Quadratic assignment problem - Wikipedia

    en.wikipedia.org/wiki/Quadratic_assignment_problem

    The quadratic assignment problem (QAP) is one of the fundamental combinatorial optimization problems in the branch of optimization or operations research in mathematics, from the category of the facilities location problems first introduced by Koopmans and Beckmann. [1] The problem models the following real-life problem:

  5. Hungarian algorithm - Wikipedia

    en.wikipedia.org/wiki/Hungarian_algorithm

    The Hungarian method is a combinatorial optimization algorithm that solves the assignment problem in polynomial time and which anticipated later primal–dual methods.It was developed and published in 1955 by Harold Kuhn, who gave it the name "Hungarian method" because the algorithm was largely based on the earlier works of two Hungarian mathematicians, Dénes Kőnig and Jenő Egerváry.

  6. Qualitative research - Wikipedia

    en.wikipedia.org/wiki/Qualitative_research

    Qualitative research is a type of research that aims to gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes, beliefs, and motivation.

  7. Qualitative reasoning - Wikipedia

    en.wikipedia.org/wiki/Qualitative_reasoning

    Qualitative Reasoning (QR) is an area of research within Artificial Intelligence (AI) that automates reasoning about continuous aspects of the physical world, such as space, time, and quantity, for the purpose of problem solving and planning using qualitative rather than quantitative information. [1]

  8. Problem statement - Wikipedia

    en.wikipedia.org/wiki/Problem_statement

    A problem statement is a description of an issue to be addressed, or a condition to be improved upon. It identifies the gap between the current problem and goal. The first condition of solving a problem is understanding the problem, which can be done by way of a problem statement.

  9. Methodology - Wikipedia

    en.wikipedia.org/wiki/Methodology

    For qualitative research, the sample size is usually rather small, while quantitative research tends to focus on big groups and collecting a lot of data. After the collection, the data needs to be analyzed and interpreted to arrive at interesting conclusions that pertain directly to the research question.