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nonlinear curve fitting algorithm exp2  (MathWorks Inc)


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    MathWorks Inc nonlinear curve fitting algorithm exp2
    Nonlinear Curve Fitting Algorithm Exp2, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/curve+fitting+algorithm/us12316352-296-9-14
    Average 90 stars, based on 1 article reviews
    nonlinear curve fitting algorithm exp2 - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Impaired muscle growth precedes development of increased stiffness of the triceps surae musculotendinous unit in children with cerebral palsy.
    Article Snippet: An exponential function was fitted to these data (using the exp2 fitting routine in Matlab) with angular displacement (dankle) in degrees as the independent variable and muscle stiffness (Kmuscle) as the Table I: Physical characteristics of the participants TD (n=45) Unilateral CP (n=24) Diplegic CP (n=17) Age (mo) 17 (13.5) 28.8 (15.8) 26.8 (15.3) Weight (kg) 11.0 (3.4) 9.9 (4.7) 11.6 (4.3) Fibula (cm) 16.8 (3.8) 18.4 (1.9) 18.8 (2.8) MG volume (mL) 14.1 (9.1) 9.5 (7.5) 8.1 (4.9) Stiffness (Nm/deg) 1.5 (0.6) 2.5 (1.79) 3.4 (2.6) ROM (deg) 93 (8) 87 (10) 84 (17) Reflex stiffness (Nm) 0.28 (0.8) 0.36 (0.6) 0.51 (1.02) TD, typically developing; CP, cerebral palsy; mo, months; kg, kilograms; cm, centimetres; MG, medial gastrocnemius; ml, millilitres; Nm, newton metre; deg, degrees; ROM, range of movement.

    Article Title: System and method for concurrent encryption and lossless compression of data
    Article Snippet: To quantify this visual observation, we used the nonlinear curve fitting algorithm Exp2 of MATLAB, which employs the double exponential function: f(x)=aebx+cedx with four parameters, a, b, c, and d. The resulting parameter values and the fitted nonlinear curves are depicted in FIG. 14.

    Article Title: System and method for concurrent encryption and lossless compression of data
    Article Snippet: FIG. 14 illustrates coefficients (with 95% confidence bounds) of double exponential f(x)=aebx+cedx using non-linear curve fitting algorithm Exp2 of MATLAB for the histograms 106 (graph 120) and histogram 110 (graph 122) after BWT+Inversion.



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