Optimization¶
Five ranked references. Rank 1 is the default spine, not a requirement to read all five.
1 | Convex Optimization¶
Stephen Boyd, Lieven Vandenberghe | Primary spine | Upper undergraduate / graduate
The canonical modern text for convexity, duality, KKT conditions, modeling, algorithms, and engineering applications.
Amazon search | Full legal web/PDF
2 | Numerical Optimization¶
Jorge Nocedal, Stephen J. Wright | Algorithms / depth | Graduate
Core reference for line search, trust region, quasi-Newton, constrained methods, and large-scale numerical optimization.
Amazon search | No legal full text located
3 | Nonlinear Programming¶
Dimitri P. Bertsekas | Nonlinear depth | Graduate
Deep treatment of constrained nonlinear optimization, duality, and algorithmic convergence.
Amazon search | No legal full text located
4 | Introduction to Linear Optimization¶
Dimitris Bertsimas, John N. Tsitsiklis | Linear / combinatorial foundation | Upper undergraduate / graduate
Excellent foundations in LP, duality, simplex/interior methods, and discrete optimization thinking.
Amazon search | No legal full text located
5 | Algorithms for Optimization¶
Mykel J. Kochenderfer, Tim A. Wheeler | Open computational path | Undergraduate / graduate
Broad, implementation-oriented survey from gradient methods to stochastic and global optimization.
Amazon search | Full legal PDF / web