The text to the right is a mostly complete and unpublished chapter that looks at algorithms that might be appropriate to investigate in Mathematical Methods Units 1 and 2.
Some of the algorithms explored:
Given a, b, c for the quadratic y = ax² + bx + c,
find the number of solutions and the turning point.
Root finding algorithms (also see the spreadsheet below)
Linear search
Bisection method
Fixed point iterations
Method of False Position
Newton-Raphson Method (multiple versions)
Secant Method
Rational Root Theorem
Polynomial long division
Instantaneous <-> Average Rate of Change
Forwards, Central, Backwards Differences
Derivatives of Polynomials
Search for Turning Points
Linear Search, Bisection Method
Gradient Descent
Generating Random Numbers (LCGs) and Dice Rolls
Simulating Probabilities
Generating Sample Spaces
Approximating Circular Functions (maybe can be extended with rational approximations and Bhāskara's approx)