Abstract: Let a ⊕ b = max(a, b) and a ⊗ b = a + b for a, b ∈ ℝ. Extend this pair of operations to matrices and vectors in the same way as in linear algebra. Being motivated by scheduling of ...

This new edition covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. One major insight is the connection between ...

This course is available on the MSc in Applicable Mathematics, MSc in Management Science (Operational Research), MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in Statistics ...

This notebook serves as an introduction to Linear Programming and MILP with Python, covering both the concepts and practical applications through various popular optimization problems.