Algorithmic Methods

Explore decision blueprints classified by their core algorithmic and mathematical formulation methods.

Mathematical programming models (MILP, LP, CP) for combinatorial scheduling, routing, and facility allocation under strict physical bounds.

Autoregressive baselines, CUSUM drift detection, Fourier multi-seasonality decomposition, and optimal hierarchical reconciliation (MinT).

Probabilistic classifiers, matrix factorization, survival hazard analysis, and unsupervised behavioral clustering.

Stochastic arrival analysis, Kingman's hyperbolic wait formula, and Erlang-C multi-server capacity provisioning.

Price-Volume-Mix sequential bridges, statistical process control (SPC) bands, and decision-theoretic loss curves.

Vector cosine embeddings (RAG), text-to-SQL semantic linking, structured entity extraction, and confidence-gated agent loops.