how do tigo optimisers work?
535935
Shade on a solar panel will cause impedance in that panel. Before a bypass diode has the time to engage, the Tigo optimisers see the impedance caused by the shade and open a bypass tunnel to match the impeded current. This allows the inverter to work at a higher current without affecting the solar panel bypass diode.
175447
In a game like Poker, the order in which the cards are dealt is critical. The RNG algorithm used determines the sequence in which cards are drawn from the deck. By using a certified RNG algorithm, Zynga guarantees that this sequence is random and thus, the outcome of the game is random and does not follow any pattern.
28612
['Generate the Points and Classifier. Generate the 10 base points for each class. ... ', 'Prepare Data For Classification. Put the data into one matrix, and make a vector grp that labels the class of each point.', 'Prepare Cross-Validation. ... ', 'Optimize the Fit.']
452408
At high level, when any action is called on the RDD, Spark creates the DAG and submits it to the DAG scheduler. The DAG scheduler divides operators into stages of tasks. A stage is comprised of tasks based on partitions of the input data. The DAG scheduler pipelines operators together.
1002695
The greedy approach is called greedy because, it takes optimal choice in each stage expecting, that will give a total optimal solution. It is a greedy algorithm because you chose to union two sets of vertices each step according tot he minimal weight available, you chose the edge that looks optimal at the moment.
762437
The TLOGO just represents different BW object types. For more details see domain RSTLOGO in data dictionary. The different TLOGOs can be also spotted in t-code RSA1 in Metadata Repository.
742077
TITAN RTX powers AI, machine learning, and creative workflows. The most demanding users need the best tools. TITAN RTX is built on NVIDIA's Turing GPU architecture and includes the latest Tensor Core and RT Core technology for accelerating AI and ray tracing.
1101314
xGboost is not entirely a black box. There is pretty good interpret ability in terms of how the learning rate/shrinkage works. The difficulty in interpretation comes along with use of trees. But that is also well explained through how random forest uses voting to arrive at the classification for each observation.
1232431
Global optimization. Global optimization is distinguished from local optimization by its focus on finding the minimum or maximum over the given set, as opposed to finding local minima or maxima. Finding an arbitrary local minimum is relatively straightforward by using classical local optimization methods.
1332309
The choice made by a greedy algorithm may depend on choices made so far but not on future choices or all the solutions to the subproblem. ... In other words, a greedy algorithm never reconsiders its choices. This is the main difference from dynamic programming, which is exhaustive and is guaranteed to find the solution.
844434
In the example of the micro-benchmark given, the reason the Enumeration is faster than Iterator is because it is tested first. ;) The longer answer is that the HotSpot compiler optimises a whole method when a loop has iterated 10,000 times.
966296
The basic elements of an optimization, including decision variables, objective, and constraints.
734118
Description. example. P = augw( G , W1,W2,W3 ) computes a state-space model of an augmented LTI plant P(s) with the weighting functions W1(s), W2(s), and W3(s) penalizing the error signal, control signal, and output signal, respectively.
130557
The Nlgeom setting for a step determines whether Abaqus will account for geometric nonlinearity in that step. ... For example, if Abaqus is already accounting for geometric nonlinearity, the Nlgeom setting is toggled on for all subsequent steps, and you cannot toggle it off.
85671
ConfigMgr clients check in for *anything* new by default every 60 minutes. This is known as the machine policy cycle/retrieval interval. It is configured in the client settings and so can actually be different for different collections in your environment.
378503
Talend Open Studio for Big Data Components Reference Guide tFlowToIterate iterates on the input data and generates global variables. Purpose. This component is used to read data line by line from the input flow and store the data entries in iterative global variables.
460888
You'll use "Release" when you want the optimiser turned on, and when you don't want full debugging information included. The main difference is when compiled in debug mode, pdb files are also created which allow debugging (so you can step through the code when its running).