The phrase "adapt to the dynamic" is correct and usable in written English.
It can be used in contexts where one needs to adjust or change in response to changing circumstances or environments.
Example: "In order to succeed in this fast-paced industry, companies must learn to adapt to the dynamic market conditions."
Alternatives: "adjust to the changes" or "respond to the fluctuations".
Thus, these three factors, namely, simple feedback mechanism, the receiver's prior knowledge of the Set-l, and very low delay, practically allow this adaptive system to quickly adapt to the dynamic channel changes due to the body movement.
We will show how this approach extends to providing robust guarantees for performance even when the system is not in equilibrium, and even when the population of players is dynamically changing, and where participants have to adapt to the dynamic environment, assuming players use a form of learning that helps them to adapt.
Moreover, such off-line techniques cannot adapt to the dynamic traffic distribution in the network.
Using fuzzy logic, FuzzyQoS-3 uses fuzzy thresholds to adapt to the dynamic conditions.
We propose a learning-based approach, which enables each classifier to effectively adapt to the dynamic changes of resource constraints.
The merge-and-split rule is designed to adapt to the dynamic environment and a discrete-time Markov chain based analysis is utilized to present the stability.
Hydrothermal vent metagenomes are enriched in mobile genetic elements, which may represent a means of adapting to the dynamic, gradient-driven vent environment20, 21.
Auxetic panels demonstrate interesting crushing behaviour, effectively adapting to the dynamic loading by progressively drawing material into the locally loaded zone to thereby enhance the impact resistance.
From the clue, the nodes can find the routing path update information that is up-to-date and optimal (less-loaded and shorter), thereby adapting to the dynamic network topology and traffic load conditions.
Numerical experiments with the fifth and ninth-order WENO reconstructions at the two-point Gaussian quadrature nodes, over a range of challenging test cases, indicate that the redistributed mesh effectively adapts to the dynamic flow gradients thereby improving the solution accuracy substantially even when the initial starting mesh is non-adaptive.
A simple simulation experiment was conducted to see (1) how an agent considers five behaviors (adjust clothing level, adjust activity level, window use, blind use, and space heater/personal fan use behaviors) to achieve its comfort goal, and (2) how an agent adapts to the dynamic thermal changes in the space to optimize both comfort and energy savings.
