Numerical Optimization, Nocedal and Wright |
The best book for general purpose (nonconvex) optimization. Implementation/algorithmic details on many common solution methods for convex and nonconvex problems. Interior point methods, active set methods, SQP, quasi-Newton methods. |
Convex Optimization |
Stephen Boyd's book, the Bible for Convex optimization. |
CMU Convex Lectures |
Ryan Tibshirani's convex lecture slides. |
Stanford Convex Lectures |
Stephen Boyd's lecture slides. |
PDIP QP Solver |
CVXGEN paper with all of the great implementation details for a classic primal-dual interior point (PDIP) method for solving quadratic programs (QPs). |
CVXOPT Documentation |
All the implementation details for convex conic solvers. |
Algorithms for Optimization |
Common gradient-based and derivative-free optimization algorithms in Julia. |
Calculus of Variations and Optimal Control |
Contains classic optimal control ideas. |