"network transformation" is a correct and usable phrase in written English.
It is typically used to describe the changes or advancements being made to a network, whether it be a computer network, telecommunications network, or other type of network. For example: "The company's recent network transformation has greatly improved connectivity and efficiency for employees."
Such is the case with one large software application company, which is in the midst of a digital network transformation.
This paper develops heuristic algorithms for the DFRLM that overcome this difficulty through network transformation.
In this role, she was responsible for advising technology companies on strategic growth with a focus on 5G, Cloud, IOT and Network Transformation.
In order to improve the problem of heat consumption of the serious waste, high power consumption (30%-50%), the poor water supply stability of heating system and high difficulty of debugging system, the paper puts forward a concrete application of the adjustable jet pump in pipe network transformation of central heating system.
The lower-level traffic equilibrium problem with entry exit based toll charges is still formulated as an optimization problem and the Frank–Wolfe algorithm is adapted for finding its solution, where the descent direction-finding sub-problem (all-or-nothing traffic assignment) is solved via a simple network transformation.
In this study, we reveal the existence of a hidden distributed architecture behind the scale-free transcriptional regulatory network of yeast by applying a unique network transformation procedure and show that the network is tolerant even to mutations that disrupt regulatory hubs.
This technique, which relies on network transformations, provides us with a smooth tradeoff between cost and accuracy.
Constraint network transformations such as constraint propagations are then specified with efficient rewrite rules exploiting the network's structure provided by terms.
The effects of the network transformations were investigated using the Network Saturation Index (NSI) that quantifies how fast an area is saturated by a design rainfall.
To obtain the most optimistic and the most pessimistic satisficing solutions of this problem, two polynomial time algorithms are introduced applying some network transformations.
Two methods for calculating these derivatives are presented, one based on network transformations and resembling techniques used in the analysis of resistive circuits, and another based on iterated solution of a nested set of linear equations.
