Algorithms for linear-quadratic optimization
Author(s)
Bibliographic Information
Algorithms for linear-quadratic optimization
（Monographs and textbooks in pure and applied mathematics, 200）
Marcel Dekker, c1996
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Note
Includes bibliographical references and indexes
Description and Table of Contents
Description
This textbook offers theoretical, algorithmic and computational guidelines for solving the most frequently encountered linear-quadratic optimization problems. It provides an overview of recent advances in control and systems theory, numerical line algebra, numerical optimization, scientific computations and software engineering.
Table of Contents
- Linear-quadratic optimization problems
- Newton algorithms
- Schur and generalized Schur algorithms
- structure-preserving algorithms. Appendices: Comparison of Riccati solvers
- notation and abbreviations.
by "Nielsen BookData"