Curve vs Nullify

'CurveFit' uses regression analysis by the method of least squares to find best fit for a set of data to a selected equation. The curve-fitting technique used in this app is based on regression analysis by the method of least squares. The free version fits a straight line through a data-set using least squares analysis. One In-App purchase is required to fit the other equations to the data set: Straight Line : Y = C0 + C1*X (free) Power Curve : Y = C0 + X^C1 Exponential I : Y = C0 * EXP(C1*X) Exponential II : Y = C0 * X * EXP(C1*X) Hyperbolic : Y = (C0 + C1*X)/(1 - C2*X) Square Root : Y = C0 + C1*SQRT(X) Polynomial : Y = C0 + C1*X + --- + CN*X^N Exponential Poly : Y = C0 * EXP(C1*X + --- + Natural Log : Y = C0 + C1*(LN(X)) + --- + Reciprocal : Y = C0 + C1/X + --- + CN/X^N Most literature deals with least squares analysis for straight lines, 2nd degree polynomials, and functions that can be linearized. The input-data is transformed into a format that the can be put into linear forms with undetermined constants. These types of equations are applicable for least-squares regression. The regression routine is needed for determining values for the set of unknown quantities C1, C2,- - - ,Cm in the equation: Y = C1 x F1(X) + C2 x F2(X) + - - - + Cm x Fm(X) The constants are determined to minimize the sum of squares of the differences between the measured values (Y1, Y2, - - - , Yn) and the predicted equation Yc = F(X) which is found by curve-fitting the given data. The principle of least squares is to find the values for the unknowns C1 through Cm that will minimize the sum of the squares of the residuals: n ∑(ri) = r12 + r22 + - - - + rn2 = minimum i=1 This is done by letting the derivative of the above equation equal zero. Thereby there will be generated as many algebraic equations as given data points, and the number of equations will be larger than unknowns.

Nullify uses AI to automatically detect and redact personal information from your documents and photos. Upload any image, let the AI scan for personal data — names, ID numbers, phone numbers, emails, IBANs, signatures, and more — then review, confirm, and save your redacted document in seconds. Perfect for: • Sharing IDs, passports, or driver's licenses safely • Sending documents without exposing private details • Complying with privacy regulations like GDPR • AI-Powered Detection — Finds PII automatically with high accuracy • Review & Select — See exactly what gets redacted before you commit • Manual Zones — Draw custom areas for anything the AI misses • Instant Results — Redacted document ready in seconds • Privacy First — Your data stays on your device Take control of your privacy. Nullify protects it. A one-time purchase is required to redact each document. Privacy Policy: https://nullify.savaskoc.de/privacy Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/