Author: Publisher:
ISBN:
Category :
Languages : en
Pages : 155
Book Description
Mines and independence (Future for Namibia ; 3).
Independence Mine and the Willow Creek Mining District
Author: Kathryn Koutsky CohenPublisher: Wizard Works
ISBN: 9780943712222
Category : Gold mines and mining
Languages : en
Pages : 169
Book Description
A history of the Independence Mine near Hatcher Pass, once the site of the most productive hard-rock gold mine in Southcentral Alaska.
The Miner's Freedom
Author: Carter GoodrichPublisher:
ISBN:
Category : Coal miners
Languages : en
Pages : 222
Book Description
History of the Triumph, Independence, and North Star Mines, Blaine County, Idaho
Author: Victoria E. MitchellPublisher:
ISBN:
Category : Copper mines and mining
Languages : en
Pages : 142
Book Description
The Triumph, Independence, and North Star mines are in the Warm Springs Mining District about five miles southeast of Ketchum.
Mines Register
Author: Mines and Independence
Author: Catholic Institute for International RelationsPublisher:
ISBN: 9780317366457
Category : Mines and mineral resources
Languages : en
Pages : 155
Book Description
Facts Concerning the Struggle in Colorado for Industrial Freedom
Author: Committee of Coal Mine ManagersPublisher:
ISBN:
Category : Coal Miners' Strike, Colo
Languages : en
Pages : 82
Book Description
Interim Report [on] Small Independent Mines
![Interim Report [on] Small Independent Mines PDF](https://books.google.com/books/content/images/frontcover/uZQvAAAAMAAJ?fife=w80-h100)
Author: United States. Congress. House. Select Committee on Small BusinessPublisher:
ISBN:
Category : Mines and mineral resources
Languages : en
Pages : 16
Book Description
Kernel-based Approximation Methods using MATLAB
Author: Gregory FasshauerPublisher: World Scientific Publishing Company
ISBN: 9814630152
Category : Mathematics
Languages : en
Pages : 536
Book Description
In an attempt to introduce application scientists and graduate students to the exciting topic of positive definite kernels and radial basis functions, this book presents modern theoretical results on kernel-based approximation methods and demonstrates their implementation in various settings. The authors explore the historical context of this fascinating topic and explain recent advances as strategies to address long-standing problems. Examples are drawn from fields as diverse as function approximation, spatial statistics, boundary value problems, machine learning, surrogate modeling and finance. Researchers from those and other fields can recreate the results within using the documented MATLAB code, also available through the online library. This combination of a strong theoretical foundation and accessible experimentation empowers readers to use positive definite kernels on their own problems of interest.
Author: