Lockstep

Lockstep
Author :
Publisher : Macmillan
Total Pages : 352
Release :
ISBN-10 : 9780765337269
ISBN-13 : 0765337266
Rating : 4/5 (266 Downloads)

Book Synopsis Lockstep by : Karl Schroeder

Download or read book Lockstep written by Karl Schroeder and published by Macmillan. This book was released on 2014-03-25 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Awakening after 14,000 years to discover that the decimated planet he was orbiting has become a thriving empire of citizens who extend their lives through strategic hibernations, 17-year-old Toby McGonigal reconnects with his family, including a tyrannical and power-crazed brother. 15,000 first printing.


Lockstep Related Books

Lockstep
Language: en
Pages: 352
Authors: Karl Schroeder
Categories: Fiction
Type: BOOK - Published: 2014-03-25 - Publisher: Macmillan

DOWNLOAD EBOOK

Awakening after 14,000 years to discover that the decimated planet he was orbiting has become a thriving empire of citizens who extend their lives through strat
Lockstep
Language: en
Pages: 336
Authors: Karl Schroeder
Categories: Fiction
Type: BOOK - Published: 2014-03-25 - Publisher: Macmillan + ORM

DOWNLOAD EBOOK

When seventeen-year-old Toby McGonigal finds himself lost in space, separated from his family, he expects his next drift into cold sleep to be his last. After a
Lockstep and Corridor
Language: en
Pages: 228
Authors: Charles L. Clark
Categories: Criminals
Type: BOOK - Published: 1927 - Publisher:

DOWNLOAD EBOOK

In Re Everychild, a Minor, Vs. Lockstep Schooling
Language: en
Pages: 76
Authors: California. State Normal School, San Francisco
Categories: Education, Elementary
Type: BOOK - Published: 1915 - Publisher:

DOWNLOAD EBOOK

Neural Networks for Pattern Recognition
Language: en
Pages: 450
Authors: Albert Nigrin
Categories: Computers
Type: BOOK - Published: 1993 - Publisher: MIT Press

DOWNLOAD EBOOK

In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Neural Network