Optimization methods in partial differential equations
I. Lasiecka
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Optimization methods in partial differential equations
by I. Lasiecka
Published
1997
Publisher
American Mathematical Society
Pages
349
ISBN-10
0821806041
Description
This book presents a collection of papers written by specialists in the field and devoted to the analysis of various aspects of optimization problems with a common focus on partial differential equation (PDE) models. These papers were presented at the AMS-SIAM 1996 Joint Summer Research Conference held at Mount Holyoke College, South Hadley, MA, in June 1996. The problems considered range from basic theoretical issues in the calculus of variations - such as infinite dimensional Hamilton Jacobi equations, saddle point principles, and issues of unique continuation - to ones focusing on application and computation, where theoretical tools are tuned to more specifically defined problems. The last category of these problems include inverse/recovery problems in physical systems, shape optimization and shape design of elastic structures, control and optimization of fluids, boundary controllability of PDE's including applications to flexible structures, etc. The papers selected for this volume are at the forefront of research and point to modern trends and open problems. This book will be a valuable tool not only to specialists in the field interested in technical details, but also to scientists entering the field who are searching for promising directions for research.
Subjects
Partial differential equations
Elements of partial differential equations
Partial differential equations
Partial differential equations
Handbook of differential equations
Partial Differential Equations
Frequently Asked Questions
How many pages are in Optimization methods in partial differential equations?
This edition of Optimization methods in partial differential equations has approximately 349 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Optimization methods in partial differential equations?
For most readers, Optimization methods in partial differential equations typically takes between 7h 16m and 4h 51m to complete. This is based on the book's length of approximately 87,250 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 49m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 12 days • Estimated word count: 87,250 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Optimization methods in partial differential equations?
The estimated word count for Optimization methods in partial differential equations is approximately 87,250 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Optimization methods in partial differential equations?
Optimization methods in partial differential equations was written by I. Lasiecka.
When was Optimization methods in partial differential equations published?
The publication date for this specific edition is 1997. The original work may have been published on a different date.