A technique of matched asymptotic expansions is used to tackle this difficulty.
We tackle this difficulty by designing a novel class of fast regularization algorithms that relies upon differential algebra techniques.
One of the successful ways to tackle this difficulty is the micro- and nanoencapsulation of PUFAs in the different kinds of the biopolymer-based delivery systems.
To tackle this difficulty, we propose an efficient solution approach that iteratively updates helicopters' availability using the previous step of optimization results.
To tackle this difficulty, we presented a hybrid CT method by introducing the concept of acoustic emission (AE) localization to the conventional elastic wave CT, enabling simultaneous identification of both elastic-wave velocity distributions and input locations.
Trying to tackle this difficulty, we design two GPU-based stereo matching algorithms, one using a local fixed aggregation window whose size is configurable, and the other using an adaptive aggregation window which only includes necessary pixels.
In the literature, there are essentially two approaches to tackle this difficulty.
To tackle this difficulty, an augmented state vector is defined which includes both the time delay and the target state with a stochastic time stamp.
To tackle this difficulty, the non-convex BC problem is transformed into a convex MAC problem via a so-called BC-MAC duality relationship [31].
To tackle this difficulty, the non-convex BC problem is transformed into a convex multiple-access channel (MAC) problem via a so-called BC-MAC duality relationship [23].
In tackling this difficulty, we propose two distributed selfish load balancing schemes, the max-weight best response policy for strong information scenario, where load information could be sufficiently collected; and the proportional allocation policy for weak information scenario.
