Spring Reading Challenge
Genres

Applied Math


Applied Math Books

Information Theory: A Tutorial Introduction
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)(3rd Edition)
Scheduling: Theory, Algorithms, and Systems
Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
Mathematical Methods in the Physical Sciences
Model Building in Mathematical Programming, 4th Edition
Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
Convex Optimization
Ampl: A Modeling Language for Mathematical Programming
Convex Analysis (Princeton Landmarks in Mathematics and Physics)
Optimization by Vector Space Methods (Wiley Professional)
Probability and Measure
Introduction to Linear Optimization (Athena Scientific Series in Optimization and Neural Computation, 6)
Introduction to Probability Models
More applied math books...