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Linearity in solvers refers to problems where the relationship between input and output can be expressed as a linear equation, making them computationally efficient and predictable. Nonlinearity introduces complex interactions between variables, often requiring iterative, approximate methods to find solutions, which can be computationally expensive and less predictable.
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