Covers numerical solutions to Schrödinger equations, quantum Monte Carlo simulations, tensor networks, quantum algorithms, and machine-learning approaches.
Explores error estimation in numerical methods for solving differential equations, focusing on local truncation error, stability, and Lipschitz continuity.
