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Scheme 1 Synthesis of the desired complexes.
The number of processors embedded on high performance computing platforms is growing daily to satisfy the user desire for solving larger and more complex problems.
While large-scale nonlinear programming (NLP) has seen widespread use within the process industries, the desire to solve larger and more complex problems drives continued improvements in NLP solvers.
In the event of low capacity, priority setting teams tend to opt for simple solutions to complex problems resulting in less improvement of the desired outcomes.
While this social phenomenon may be responsible for some misleading health advice, many other factors are involved such as the desire for simplistic and false "good food/bad food" solutions to complex problems.
12.000 Solving Complex Problems.
SIMPLE solutions to complex problems rarely succeed.
Complex problems need creative solutions.
RAND had some complex problems to solve.
Dictatorships are conspicuously bad at complex problems.
These are complex problems in need of complex solutions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com