Reference Work Entry
Monte—Carlo Simulations for Stochastic Optimization
David Morton and Elmira Popova
2001, Encyclopedia of Optimization, Pages 1529-1537
Reference Work Entry
Semi-Infinite Programming: Discretization Methods
SIP
Rembert Reemtsen
2001, Encyclopedia of Optimization, Pages 2274-2281
Book Chapter
Optimization Models with Probabilistic Constraints
Darinka Dentcheva
2006, Probabilistic and Randomized Methods for Design under Uncertainty, Part I, Pages 49-97
Book Chapter
Penalty Function Methods
Springer Optimization and Its Applications, 1, Volume 1, Optimization Theory and Methods, Pages 455-492
Book Chapter
Sequential Quadratic Programming
Springer Optimization and Its Applications, 1, Volume 1, Optimization Theory and Methods, Pages 523-560
Book Chapter
Newton’s Methods
Springer Optimization and Its Applications, 1, Volume 1, Optimization Theory and Methods, Pages 119-173
Book Chapter
Solving Nonlinear Least-Squares Problems
Springer Optimization and Its Applications, 1, Volume 1, Optimization Theory and Methods, Pages 353-383
Book Chapter
Approximate Gradient/Penalty Methods with General Discretization Schemes for Optimal Control Problems
Ion Chryssoverghi
Lecture Notes in Computer Science, 2006, Volume 3743, Large-Scale Scientific Computing, Pages 199-207
Book Chapter
A Quantum Minkowski Space-Time
Bianca Letizia Cerchiai
Lecture Notes in Physics, 2000, Volume 543, Geometry and Quantum Physics, Page 384
Book Chapter
Growing patterns in 1D cellular automata
Bruno Durand and Jacques Mazoyer
Lecture Notes in Computer Science, 1995, Volume 965, Fundamentals of Computation Theory, Pages 211-220