Tag: Numerical Differentiation

A scientific curve can tell us not only how a quantity changes, but also how much accumulates over time. In Lesson 11 of our GNU Octave and GX-TXT course, we explore numerical differentiation and integration using a synthetic first-order kinetic model. We apply GX-TXT public numerical APIs to nonuniformly sampled data, compare numerical results with analytical solutions, investigate an intentional error with the Octave debugger, and publish scientific Datasets and persistent plots.

How can an acid–base titration graph become reproducible scientific data? In this final GX-TXT Curve Digitalizer tutorial, we digitize 35 points from a citric acid titration, publish a scientific Dataset, and use Python to estimate an apparent equivalence volume near 6.1 mL. We also create two native dual-Y-axis plots comparing the original and smoothed pH curves with their numerical derivative.