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With a lens of systems thinking, project complexity can be defined as an intricate arrangement of the varied interrelated parts in which the elements can change and evolve constantly with an effect on the project objectives. [2] The identification of complex projects is specifically important to multi-project engineering environments. [3]
A complex system is a system composed of many components which may interact with each other. [1] Examples of complex systems are Earth's global climate, organisms, the human brain, infrastructure such as power grid, transportation or communication systems, complex software and electronic systems, social and economic organizations (like cities), an ecosystem, a living cell, and, ultimately, for ...
For example, some difficult problems need algorithms that take an exponential amount of time in terms of the size of the problem to solve. Take the travelling salesman problem , for example. It can be solved, as denoted in Big O notation , in time O ( n 2 2 n ) {\displaystyle O(n^{2}2^{n})} (where n is the size of the network to visit – the ...
Integrative complexity is a research psychometric that refers to the degree to which thinking and reasoning involve the recognition and integration of multiple perspectives and possibilities and their interrelated contingencies.
"Conundrum" (song), an instrumental song by Jethro Tull on their album Bursting Out "Conundrum" (), the two-hour series finale of primetime soap opera Dallas"Conundrum" (Star Trek: The Next Generation), a 1992 fifth-season episode of Star Trek: The Next Generation
Tacit knowledge or implicit knowledge is knowledge that is difficult to extract or articulate—as opposed to conceptualized, formalized, codified, or explicit knowledge—and is therefore more difficult to convey to others through verbalization or writing.
A simple example that shows some of the main issues in complex dynamics is the mapping () = from the complex numbers C to itself. It is helpful to view this as a map from the complex projective line to itself, by adding a point to the complex numbers.
A decision problem H is NP-hard when for every problem L in NP, there is a polynomial-time many-one reduction from L to H. [1]: 80 Another definition is to require that there be a polynomial-time reduction from an NP-complete problem G to H.