This book on iterative methods for linear and nonlinear equations can be used as a tutorial and a reference by anyone who needs to solve nonlinear systems of equations or large …
This book on unconstrained and bound constrained optimization can be used as a tutorial for self-study or a reference by those who solve such problems in their work. It can also …
Optimization is one of the most important areas of modern applied mathematics, with applications in fields from engineering and economics to finance, statistics, management …
The global and local convergence properties of a class of augmented Lagrangian methods for solving nonlinear programming problems are considered. In such methods, simple …
JC Gilbert, C Lemaréchal - Mathematical programming, 1989 - Springer
This paper describes some numerical experiments with variable-storage quasi-Newton methods for the optimization of some large-scale models (coming from fluid mechanics and …
For an optimal control problem, one seeks to optimize a performance measure subject to a set of dynamic, and possibly algebraic, constraints. The dynamic constraints may be …
GS Chirikjian - Advanced Robotics, 2015 - Taylor & Francis
Hyper-redundant (or snakelike) manipulators have many more degrees of freedom than required to position and orient an object in space. They have been employed in a variety of …
For dynamic distributed systems modeled by partial differential equations, existing methods of sensor location in parameter estimation experiments are either limited to one-dimensional …
This book provides a comprehensive treatment of a very successful class of methods for solving optimization problems with PDE and inequality constraints as well as variational …