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  2. Phylogenetic inertia - Wikipedia

    en.wikipedia.org/wiki/Phylogenetic_inertia

    Evolution of fish to tetrapods. The basic body plan has been phylogenetically constrained. Most terrestrial vertebrates have a body plan that consist of four limbs. The phylogenetic inertia hypothesis suggests that this body plan is observed, not because it happens to be optimal, but because tetrapods are derived from a clade of fishes (Sarcopterygii) which also have four limbs.

  3. Nurse scheduling problem - Wikipedia

    en.wikipedia.org/wiki/Nurse_scheduling_problem

    The nurse scheduling problem (NSP), also called the nurse rostering problem (NRP), is the operations research problem of finding an optimal way to assign nurses to shifts, typically with a set of hard constraints which all valid solutions must follow, and a set of soft constraints which define the relative quality of valid solutions. [1]

  4. 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.

  5. The 30 most impressive science fair projects in the country - AOL

    www.aol.com/article/2015/10/13/the-30-most...

    Courtesy of Society for Science & the Public. This year's 30 Broadcom MASTERS finalists were announced on Oct. 6. Check out how these pre- and early teens wow-ed the judges with their creativity ...

  6. Constrained optimization - Wikipedia

    en.wikipedia.org/wiki/Constrained_optimization

    Alternatively, if the constraints are all equality constraints and are all linear, they can be solved for some of the variables in terms of the others, and the former can be substituted out of the objective function, leaving an unconstrained problem in a smaller number of variables.

  7. Scenario optimization - Wikipedia

    en.wikipedia.org/wiki/Scenario_optimization

    First constraints are sampled and then the user starts removing some of the constraints in succession. This can be done in different ways, even according to greedy algorithms. After elimination of one more constraint, the optimal solution is updated, and the corresponding optimal value is determined.

  8. Duality (optimization) - Wikipedia

    en.wikipedia.org/wiki/Duality_(optimization)

    Moving in any such direction is said to remove slack between the candidate solution and one or more constraints. An infeasible value of the candidate solution is one that exceeds one or more of the constraints. In the dual problem, the dual vector multiplies the constraints that determine the positions of the constraints in the primal.

  9. Holonomic constraints - Wikipedia

    en.wikipedia.org/wiki/Holonomic_constraints

    then this constraint is a holonomic constraint; otherwise, it is nonholonomic. Therefore, all holonomic and some nonholonomic constraints can be expressed using the differential form. Examples of nonholonomic constraints that cannot be expressed this way are those that are dependent on generalized velocities.