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Problem solving is the process of achieving a goal by overcoming obstacles, a frequent part of most activities. Problems in need of solutions range from simple personal tasks (e.g. how to turn on an appliance) to complex issues in business and technical fields. The former is an example of simple problem solving (SPS) addressing one issue ...
Synectics is a problem solving methodology that stimulates thought processes of which the subject may be unaware. This method was developed by George M. Prince (1918–2009) [1] and William J.J. Gordon, originating in the Arthur D. Little Invention Design Unit in the 1950s. According to Gordon, Synectics research has three main assumptions: [2 ...
Information mapping. Problem structuring methods ( PSMs) are a group of techniques used to model or to map the nature or structure of a situation or state of affairs that some people want to change. [1] PSMs are usually used by a group of people in collaboration (rather than by a solitary individual) to create a consensus about, or at least to ...
This not only boosts your chances of success, but it also helps you keep functioning in the face of challenges. Try these self-care tips: Make time for restful sleep. Eat regular, nutritious meals ...
An issue tree, also called logic tree, is a graphical breakdown of a question that dissects it into its different components vertically and that progresses into details as it reads to the right. [1] : 47. Issue trees are useful in problem solving to identify the root causes of a problem as well as to identify its potential solutions.
Nonlinear programming. In mathematics, nonlinear programming ( NLP) is the process of solving an optimization problem where some of the constraints are not linear equalities or the objective function is not a linear function. An optimization problem is one of calculation of the extrema (maxima, minima or stationary points) of an objective ...
Troubleshooting. Troubleshooting is a form of problem solving, often applied to repair failed products or processes on a machine or a system. It is a logical, systematic search for the source of a problem in order to solve it, and make the product or process operational again. Troubleshooting is needed to identify the symptoms.
Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives. [1] [2] It is generally divided into two subfields: discrete optimization and continuous optimization.