Sentence examples for coefficient variable from inspiring English sources

The DWT level is specified in the superscript alongside the coefficient variable.

Comparing with the existing methods, the proposed method can be applied to design arbitrary complex coefficient or real coefficient variable fractional-delay filters.

Approximate analytical solutions are obtained for special nonlinear diffusion functional coefficient (variable thermal conduction) k(s)=s^{i} for i=1, 3, 5 and convection functional coefficient h(s)=s^{j} for j=1, 4 and power law parameter of n=0.2, 0.5, 1.0, 2.5.

Therefore, each GENCO will submit generator bids to the ISO according to the following linear supply function for Generator i. f_{i} = b_{i} cdot frac{{partial C_{i} }}{{partial G_{i} }} = b_{i} cdot c_{i} (3)where b i is the unknown bidding strategic coefficient variable of conventional GENCO i (it equals to 1 for non-strategic bidders), f i is the bidding price of conventional GENCO i ($/MWh).

The impasse is resolved (typically) by making the maintenance coefficient variable, e.g. Seginer (2003) assumes that the maintenance coefficient depends asymptotically on plant structural mass.

Model Equation (1) LoS = ex p (Intercept + b x 1 * cf Year = 2011 + Age * cf Age + Age ^ 2 * cf Age ^ 2 + b x 2 * cf (Gender = Male ) + b x 3 * cf Cons = C 38 + e tc. ) (where cf variable) is the coefficient variable and b xn) is a binomial variable with a value of 1 or 0) The results are in the form of log-ratios, the Incident Rate Ratios (IRR).

A neuro-fuzzy approach was developed to relate the input (pipe roughness and Reynolds number) and output (friction coefficient) variables.

The coefficient variables cooperation coefficient, spend coefficient and cost exponential impose significant influence on the diffusion of cooperation, and the signs are not surprising.

Since it is crucial for a MILP model to distinguish between variables and coefficients, variables are typeset bold.

To allow the direct comparison of regression coefficients, variables were standardized prior to the analyses (i.e., [ X (t) - µ(1955 2000)]/ s(1955 2000)).

Variable importance is defined as the product of absolute mean coefficient and variable standard deviation.