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This study approximates the nonlinear behavior of CLPHP with a linear approximation method that can establish the relationship among the response temperature differences between evaporator, adiabatic, and condenser sections.
The linear approximation method can also be used in other large deformation problems.
The original optimization problem is non-convex and relaxed to a convex one through a linear approximation method.
The conventional linear approximation method requires a simple hardware implementation but produces results with high approximation error.
Introducing the linear approximation method proposed in [26], we can compute the achievable PAM modulation order b as: b=frac{SNR text{dB} -A_{2}}{A_{1}}, (12).
The linear long-term trend was estimated by the linear approximation method for the data around the time when each water injection experiment was done.
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We present an evaluation of multi-hop network which adopts Piecewise Linear Approximation methods and Minimum Transmission Energy routing approach.
This linearization method builds on the simple incremental method, exhibiting enhanced features and advantages as compared to standard piecewise linear approximation methods.
The concentration effects are not significant for the more flexible PHF, and viscometry data are suitable for determining persistence lengths, even by linear approximation methods that use the ratio of intrinsic viscosity and molar mass.
The nature of this problem requires the use of non-linear approximation methods.
The AUClast was computed using the linear trapezoidal approximation method.
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