Posted by **tanas.olesya** at Sept. 18, 2015

English | 28 Sept. 2010 | ISBN: 1420093649 | 921 Pages | PDF | 22 MB

Handbook of Mathematical Induction: Theory and Applications shows how to find and write proofs via mathematical induction. This comprehensive book covers the theory, the structure of the written proof, all standard exercises, and hundreds of application examples from nearly every area of mathematics.

Posted by **step778** at Dec. 17, 2014

2011 | pages: 921 | ISBN: 1420093649 | DJVU | 10,9 mb

Posted by **fdts** at July 3, 2013

by David S. Gunderson

English | 2011 | ISBN: 1420093649 | 921 pages | PDF | 22.93 MB

Posted by **roxul** at July 19, 2016

English | 2010 | ISBN: 0521140633, 0521192250 | PDF | 968 pages | 11 MB

Posted by **ChrisRedfield** at Nov. 13, 2015

Published: 2015-05-30 | ISBN: 1493907891, 1493907913 | PDF | 2178 pages | 47.85 MB

Posted by **interes** at Oct. 8, 2015

English | 2001-02-26 | ISBN: 1584881321 | 297 pages | PDF | 1,5 mb

Posted by **roxul** at Aug. 18, 2015

English | ISBN: 1493907913 | 2015 | 2178 pages | PDF | 48 MB

Posted by **nebulae** at July 20, 2015

English | ISBN: 1493907913 | 2015 | 2178 pages | PDF | 48 MB

Posted by **tanas.olesya** at Oct. 16, 2014

Dover Publications; 0009-Revised edition | June 1, 1965 | English | ISBN: 0486612724 | 1058 pages | PDF | 70 MB

Despite the increasing use of computers, the basic need for mathematical tables continues. Tables serve a vital role in preliminary surveys of problems before programming for machine operation, and they are indispensable to thousands of engineers and scientists without access to machines. Because of automatic computers, however, and because of recent scientific advances, a greater variety of functions and a higher accuracy of tabulation than have been available until now are required.

Posted by **libr** at Sept. 28, 2014

English | 2010 | ISBN: 0387929193 | 1607 pages | PDF | 35 MB

The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing.