Aug 17, 2026 Reproducing a Central Compact Finite-Difference Scheme for the Korteweg-de Vries Equation Jun 30, 2026 Optimization: Gradient, Newton and Quasi-Newton Methods and Minimum-Energy Trajectory Optimization Jun 22, 2026 Computational Fluid Dynamics May 30, 2026 Bayesian Inference for Inverse Problems: Metropolis Sampling for Source Identification and Linear Regression Apr 30, 2026 Domain Decomposition and Parallel Scaling for Wave Propagation: Amdahl, Gustafson and the Memory-Bandwidth Limit Mar 23, 2026 A Hands-On Machine Learning Workflow: scikit-learn, XGBoost, TensorFlow/Keras and PyTorch on Benchmark Datasets Mar 03, 2026 Matching Model Complexity to Data: A Controlled Comparison of scikit-learn, XGBoost, Keras and PyTorch Mar 01, 2026 Physics-Informed Neural Networks versus Adaptive Runge-Kutta: Accuracy and Cost on a Forced Linear ODE Feb 22, 2026 Polynomial Chaos Surrogates for Uncertainty Quantification: Legendre Projection versus Monte Carlo Feb 21, 2026 Stiffness and Absolute Stability: Explicit and Implicit Solvers on the Van der Pol Oscillator Feb 01, 2026 Accelerating ODE Solvers with the Sherman-Morrison Formula: A Case Study in Sustainable Aviation Modeling