When confronted with such complex problems, policy-makers tend to use intuitive or heuristic approaches to simplify complexity, and in the process, important information may be lost, and priority setting is ad-hoc.
JACK DORSEY: My goal is to simplify complexity.
Cui et al. [7] combined LMS with recursive least square (RLS) algorithms to realize a faster convergence rate and simplify complexity of implementation at the same time.
And in general, the aim is to try to simplify complexity: while there used to be different levels of indentation for different shared stories, now each has its unique part.
However, our instinct leads us attempt to simplify complexity, when complexity cannot be simplified, complexity just us.
As I begin to understand the complexity of Hebron the dark image bothers me because it caters so completely to our inclination to simplify complexity to a good vs evil dichotomy.
They tend to use heuristic or intuitive approaches to simplify complexity, and in the process, important information is ignored.
I posit that there are two major stumbling blocks: 1) the difficulty of simplifying complexities between services so that statutory planning processes can incorporate the approach, and 2) the lack of cross-landscape assessment methods and examples.
At the same time, the array of three values simplifies the complexity in the image, so even if a video is of poor quality or a different hue, the information about its relative luminance is retained.
MapReduce, a parallel programming model for processing large data sets, greatly simplifies the complexity of distributed parallel programming.
This representation simplifies the complexity of specifying the distributions from exponential in n, the number of variables in the model, to linear in n, in many interesting cases.
