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Instrumental interdisciplinarity is defined as a pragmatic way of problem solving based on needs and circumstances.
This program has a distinct emphasis on innovation and problem solving based on real-life operative challenges identified by students during surgical observation in the operating room.
This paper describes insights on how to promote mathematical reasoning in problem solving based on the mathematical experiences of participants in a long-term study in which the students engaged in strands of well-defined, open-ended mathematical investigations, as a context for research on the development of particular concepts and ways of reasoning.
Heuristics are methods for problem solving based on learned experiences and logical guesswork rather pre-established mathematical formulas.
Figure 7 shows the iterations and cost in the process of deadlock solving based on the co-evolutionary genetic algorithm.
Here, we examine whether models of problem solving based on this work are useful within the domain of evolutionary biology.
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The equations were solved based on the initial and boundary conditions from real production.
The sub-flux RT problems are linear and simply solved based on SAIL++ formalism.
Two types of examples (compliance and stress minimization) were solved based on the chosen objective functions.
Many criminal acts are solved based upon the direct investigation of the specific offense.
The objective is solved based on penalized matrix decomposition (PMD) algorithm.
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