Work through numerical analysis problems with root-finding, interpolation and least-squares tools.
Study each iteration to understand how an approximate solution is obtained.
KEY MATHEMATICAL TOOLS
Root-Finding Algorithms: Solve non-linear equations using Bisection and Newton-Raphson methods with convergence tables.
Data Interpolation: Construct interpolation polynomials using Linear, Quadratic, Newton, and Lagrange methods.
Least Squares Regression: Perform curve fitting and regression modeling on empirical datasets.
Step-by-Step Transparency: Inspect complete iteration sequences, intermediate matrices, and error margins.
HOW TO OPERATE
1. Select the appropriate numerical algorithm for your task.
2. Input the function parameters, matrix coefficients, or coordinates.
3. Set target error tolerance thresholds and maximum iteration counts.
4. Examine the computed solutions, comprehensive iteration tables, and plots.
Find roots with Bisection or Newton-Raphson; interpolate and fit data