The effect of iterating and damping was similar: Many iterations with strong damping result in a solution similar to that from few iterations and weak damping.
Thus, the sequence of random switch operations will terminate with probability 1, and the system then converges to a final strategy vector x fin after finitely many iterations with probability 1, which proves the convergence in probability for our proposed distributed algorithm.
MIMMI went through many iterations, with its designers sculpting all of the elements, from web/visitor interaction to lighting to misting and overall form.
There are antojitos and pozole and menudo on the weekend, and the tamales, which are wrapped with corn or banana leaves and come in many iterations: chicken with green chile sauce, pork with red chile sauce, chicken with mole, beans and cheese, tofu with chipotle sauce, spinach and cheese, cheese with jalapenos, and sweet tamales with pineapple or strawberry.
Also in the mix will be "Thanks Forty," Mr. Fagan's tribute to the company's history through many iterations, beginning with the teasing name the Bottom of the Bucket but... Dance Theater in 1970.
The heuristics were developed after many iterations of execution with different values of the proportion factor and finally these values were experimentally determined and found to produce reasonable results.
For instance on the transactional part with many iterations planed on the service we've launched together with Randstad," says Rodriguez.
Today, as with many iterations of the sexual emancipation rhetoric of the 1960s, wearing a bikini is no longer associated with pleasure and daring, but with anxiety, dieting rituals and joyless physical performance.
Under Gates's leadership, Microsoft then cemented its lock on operating systems, replacing DOS with many iterations of Windows, and eventually, through Office, extended its grip to productivity software.
The results revealed that iterative graph processing with the BSP implementation always and significantly, even up to 10 times outperforms MapReduce, especially for algorithms with many iterations and sparse communication.
In the iterative SIRT method, choosing a certain number of iterations can be viewed as a type of regularization: in general, using few iterations will result in images with less noise, but less high-frequency details as well, while using many iterations results in images with more details but more noise as well.
