Introduction to Derivative-free Optimization

Moment and Polynomial Optimization

Risk-Averse Optimization and Control: Theory and Methods

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Linear Programming with MATLAB

Perturbation Analysis of Optimization Problems

Applications of Stochastic Programming

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

The Sharpest Cut: The Impact of Manfred Padberg and His Work

Dataclysm: Love, Sex, Race, and Identity--What Our Online Lives Tell Us about Our Offline Selves

A Mathematical View of Interior-point Methods in Convex Optimization

Lectures on Modern Convex Optimization: Analysis, Algorithms, and Engineering Applications

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Trust Region Methods

An Introduction to Convexity, Optimization, and Algorithms

Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale

Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with Python and MATLAB, Second Edition

What Is Data Science?

Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization

Evaluation Complexity of Algorithms for Nonconvex Optimization: Theory, Computation, and Perspectives