Quasilinearization and Invariant Imbedding
eBook - PDF

Quasilinearization and Invariant Imbedding

With Applications to Chemical Engineering and Adaptive Control

  1. 350 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Quasilinearization and Invariant Imbedding

With Applications to Chemical Engineering and Adaptive Control

About this book

Mathematics in Science and Engineering, Volume 41: Quasilinearization and Invariant Imbedding presents a study on the use of two concepts for obtaining numerical solutions of boundary-value problems—quasilinearization and invariant imbedding. This book emphasizes that the invariant imbedding approach reformulates the original boundary-value problem into an initial value problem by introducing new variables or parameters, while the quasilinearization technique represents an iterative approach combined with linear approximations. This volume focuses on analytical aspects that are concerned with actual convergence rates and computational requirements, considering various efficient algorithms that are suited for various types of boundary-value problems. This publication is a good reference for chemical and control engineers and scientists interested in obtaining numerical solutions of boundary-value problems in their particular fields.

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Yes, you can access Quasilinearization and Invariant Imbedding by E. Stanley Lee, Richard Bellman in PDF and/or ePUB format, as well as other popular books in Mathematics & Optimization. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2016
Print ISBN
9781483229539
eBook ISBN
9781483266756
Topic
Mathematics
Subtopic
Optimization
Index
Mathematics

Table of contents

  1. Front Cover
  2. Quasilinearization and Invariant Imbedding: With Applications to Chemical Engineering and Adaptive Control
  3. Copyright Page
  4. Table of Contents
  5. Dedication
  6. PREFACE
  7. Chapter 1. INTRODUCTORY CONCEPTS
  8. Chapter 2. QUASILINEARIZATION
  9. Chapter 3. ORDINARY DIFFERENTIAL EQUATIONS
  10. Chapter 4. PARAMETER ESTIMATION
  11. Chapter 5. OPTIMIZATION
  12. Chapter 6. INVARIANT IMBEDDING
  13. Chapter 7. QUASILINEARIZATION AND INVARIANT IMBEDDING
  14. Chapter 8. INVARIANT IMBEDDING, NONLINEAR FILTERING, AND THE ESTIMATION OF VARIABLES AND PARAMETERS
  15. Chapter 9. PARABOLIC PARTIAL DIFFERENTIAL EQUATIONS—FIXED BED REACTORS WITH AXIAL MIXING
  16. Appendix I: VARIATIONAL PROBLEMS WITH PARAMETERS
  17. Appendix II: THE FUNCTIONAL GRADIENT TECHNIQUE
  18. AUTHOR INDEX
  19. SUBJECT INDEX