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  2. Combinatorial optimization - Wikipedia

    en.wikipedia.org/wiki/Combinatorial_optimization

    A minimum spanning tree of a weighted planar graph.Finding a minimum spanning tree is a common problem involving combinatorial optimization. Combinatorial optimization is a subfield of mathematical optimization that consists of finding an optimal object from a finite set of objects, [1] where the set of feasible solutions is discrete or can be reduced to a discrete set.

  3. Optimal experimental design - Wikipedia

    en.wikipedia.org/wiki/Optimal_experimental_design

    More generally, statisticians consider linear combinations of parameters, which are estimated via linear combinations of treatment-means in the design of experiments and in the analysis of variance; such linear combinations are called contrasts. Statisticians can use appropriate optimality-criteria for such parameters of interest and for contrasts.

  4. Assignment problem - Wikipedia

    en.wikipedia.org/wiki/Assignment_problem

    Its solution is whichever combination of taxis and customers results in the least total cost. Now, suppose that there are four taxis available, but still only three customers. 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 ...

  5. Rangeland management - Wikipedia

    en.wikipedia.org/wiki/Rangeland_management

    Range management is defined by Holechek et al. as the "manipulation of rangeland components to obtain optimum combination of goods and services for society on a sustained basis". [2] The United Nations (UN) has declared 2026 the International Year of Rangelands and Pastoralists, with the Food and Agriculture Organization leading the initiative. [3]

  6. Multi-objective optimization - Wikipedia

    en.wikipedia.org/wiki/Multi-objective_optimization

    Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.

  7. Shelford's law of tolerance - Wikipedia

    en.wikipedia.org/wiki/Shelford's_Law_of_Tolerance

    Shelford's law of tolerance is a principle developed by American zoologist Victor Ernest Shelford in 1911. It states that an organism's success is based on a complex set of conditions and that each organism has a certain minimum, maximum, and optimum environmental factor or combination of factors that determine success. [1]

  8. Nonlinear programming - Wikipedia

    en.wikipedia.org/wiki/Nonlinear_programming

    Under convexity, the KKT conditions are sufficient for a global optimum. Without convexity, these conditions are sufficient only for a local optimum . In some cases, the number of local optima is small, and one can find all of them analytically and find the one for which the objective value is smallest.

  9. Combinatorics - Wikipedia

    en.wikipedia.org/wiki/Combinatorics

    Combinatorics is an area of mathematics primarily concerned with counting, both as a means and as an end to obtaining results, and certain properties of finite structures.It is closely related to many other areas of mathematics and has many applications ranging from logic to statistical physics and from evolutionary biology to computer science.