👉 Anne's math, or Anand's method, is a powerful optimization technique used to solve complex mathematical problems, particularly those involving non-linear equations and large-scale systems. It generalizes Newton's method by incorporating a global search strategy to escape local minima and converge more reliably to the global optimum. The method iteratively updates a sequence of approximations using a combination of gradient descent and a line search to determine the step size, ensuring convergence even in challenging landscapes. By balancing local refinement with global exploration, Anne's method efficiently navigates high-dimensional spaces and is widely applied in fields like machine learning, engineering, and economics for optimizing functions with multiple variables and constraints.
