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Numerical analysis is the study of algorithms that use numerical approximation (as opposed to symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics ). It is the study of numerical methods that attempt to find approximate solutions of problems rather than the exact ones.
Wicked problem. In planning and policy, a wicked problem is a problem that is difficult or impossible to solve because of incomplete, contradictory, and changing requirements that are often difficult to recognize. It refers to an idea or problem that cannot be fixed, where there is no single solution to the problem; and "wicked" denotes ...
The assignment problem is a special case of the transportation problem, which is a special case of the minimum cost flow problem, which in turn is a special case of a linear program. While it is possible to solve any of these problems using the simplex algorithm , each specialization has a smaller solution space and thus more efficient ...
Vehicle routing problem. The vehicle routing problem ( VRP) is a combinatorial optimization and integer programming problem which asks "What is the optimal set of routes for a fleet of vehicles to traverse in order to deliver to a given set of customers?" It generalises the travelling salesman problem (TSP).
Problem finding. Problem finding means problem discovery. It is part of the larger problem process that includes problem shaping and problem solving. Problem finding requires intellectual vision and insight into what is missing. Problem finding plays a major role in application of creativity. [1]
Stochastic optimization ( SO) methods are optimization methods that generate and use random variables. For stochastic problems, the random variables appear in the formulation of the optimization problem itself, which involves random objective functions or random constraints. Stochastic optimization methods also include methods with random iterates.
Lateral thinking. Maltese psychologist Edward de Bono (pictured in 2009) introduced the term "lateral thinking" in 1967. Lateral thinking is a manner of solving problems using an indirect and creative approach via reasoning that is not immediately obvious. It involves ideas that may not be obtainable using only traditional step-by-step logic.
Quadratic unconstrained binary optimization. Quadratic unconstrained binary optimization ( QUBO ), also known as unconstrained binary quadratic programming ( UBQP ), is a combinatorial optimization problem with a wide range of applications from finance and economics to machine learning. [1] QUBO is an NP hard problem, and for many classical ...