The phrase "applicability to solving" is correct and usable in written English.
It can be used when discussing how relevant or useful something is in addressing a particular problem or challenge.
Example: "The applicability to solving complex mathematical equations is a key feature of this software."
Alternatives: "relevance to addressing" or "usefulness in resolving".
The performance of the proposed MOGA model, when applied to the MAIWF under the available data, establishes its potential applicability to solve the complex groundwater management problems.
Given a metric space ( X, d ) and a self-mapping T on X, the theory on the existence of a solution to the equation of the form T x = x has gained impetus because of its applicability to solve many interesting problems that can be formulated as ordinary differential equations, matrix equations etc.
The slow convergence of the series close to the source, limits the applicability of Green's function to solving sound generation and scattering problems in waveguides, especially if near-field effects are significant.
The historical background and the broad applicability of the method to solve a wide variety of problems from different areas of engineering are shown using simple applications from several areas.
The application of YFD project also delivers its applicability of this meshless scheme to solve real-world engineering projects.
The examples demonstrate the applicability of the evolutionary approach to solve complex real-world problems.
Although such effects have been observed in various domains (e.g., instruction and interface designs), little is known about the cognitive processing mechanisms underlying these effects, nor its applicability to complex visual problem solving.
Moreover, we investigate the applicability of this approximate gradient technique to solve constrained optimization problems using the augmented Lagrangian method.
Due to the complexity of this model, a hybrid Simulated Annealing (SA) algorithm is proposed to solve the problem and its applicability is demonstrated via two numerical examples.
Neuro-fuzzy inference systems were implemented to integrate the fuzzy inputs and CANFIS technique due to its applicability in solving very complex and poorly defined problems quickly (Singh et al. 2007).
