Optimization is the science of making a best choice in the face of conflicting requirements. Any convex optimization problem has geometric interpretation. If a given optimization problem can be transformed to a convex equivalent, then this interpretive benefit is acquired. That is a powerful attraction: the ability to visualize geometry of an optimization problem. Conversely, recent advances in geometry hold convex optimization within their proofs' core. This book is about convex optimization, convex geometry (with particular attention to distance geometry), geometrical problems, and problems that can be transformed into geometrical problems. Euclidean distance geometry is, fundamentally, a determination of point conformation from interpoint distance information; e.g., given only distance information, determine whether there corresponds a realizable configuration of points; a list of points in some dimension that attains the given interpoint distances. large black & white paperback
FREE Two-Day Shipping for students on millions of items. Learn more |
| ||||||||||||||||||
Book Description
Product Details
Would you like to update product info or give feedback on images?
|
Customer Reviews
|
There are no customer reviews yet.
|
|||
|
Video reviews
|
Inside This Book
(learn more)
Key Phrases - Statistically Improbable Phrases (SIPs):
(learn more)
conic independence, geometric center subspace, hollow subspace, dual generalized inequalities, positive semidefinite cone, independent extreme directions, symmetric hollow part, drawn truncated, monotone cone, hollow matrices, equivalent semidefinite program, real affine function, biorthogonal expansion, primal feasible set, spectral cone, affine dimension, conic combination, pointed closed convex cone, generalized inequality, nonconvex subset, extremes theorem, membership corollary, pointed polyhedral cone, isometric reconstruction, convex real function Key Phrases - Capitalized Phrases (CAPs): (learn more)
Jon Dattorro, Cone Table, Euclidean Distance Geometry, Meboo Publishing, Barvinok's Proposition, United States Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
conic independence, geometric center subspace, hollow subspace, dual generalized inequalities, positive semidefinite cone, independent extreme directions, symmetric hollow part, drawn truncated, monotone cone, hollow matrices, equivalent semidefinite program, real affine function, biorthogonal expansion, primal feasible set, spectral cone, affine dimension, conic combination, pointed closed convex cone, generalized inequality, nonconvex subset, extremes theorem, membership corollary, pointed polyhedral cone, isometric reconstruction, convex real function Key Phrases - Capitalized Phrases (CAPs): (learn more)
Jon Dattorro, Cone Table, Euclidean Distance Geometry, Meboo Publishing, Barvinok's Proposition, United States Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 80
books:
See all 80 books this book cites
- Image Recovery: Theory and Application by Henry Stark in Back Matter (1), Back Matter (2), and Back Matter (3)
- Convex Optimization by Stephen Boyd in Front Matter (1), Front Matter (2), and Back Matter
- Matrix Analysis by Roger A. Horn in Back Matter (1), and Back Matter (2)
- Convex Analysis (Princeton Landmarks in Mathematics and Physics) by Ralph Tyrell Rockafellar on page 153, and Back Matter
- Topics in Semidefinite and Interior-Point Methods (Fields Institute Communications) by Panos M. Pardalos in Back Matter (1), and Back Matter (2)
See all 80 books this book cites
Tags Customers Associate with This Product(What's this?)Click on a tag to find related items, discussions, and people.
|
Sell a Digital Version of This Book in the Kindle Store
If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store.
Learn more
Customer Discussions
|
This product's forum
Active discussions in related forums
Search Customer Discussions
|
Related forums
|
