Posted by **DZ123** at Oct. 11, 2017

English | 2005 | ISBN: 0198526040 | DJVU | pages: 436 | 4.7 mb

Posted by **step778** at Oct. 11, 2017

Posted by **hill0** at Oct. 17, 2017

English | 5 Dec. 2013 | ISBN: 8847055210 | 658 Pages | EPUB | 10.38 MB

Posted by **IrGens** at Oct. 17, 2017

English | August 13, 2013 | ISBN: 1579129501, 1579125549 | PDF | 1104 pages | 179 MB

Posted by **tarantoga** at Oct. 17, 2017

ISBN: 0486807371 | 2016 | EPUB | 816 pages | 126 MB

Posted by **tarantoga** at Oct. 17, 2017

ISBN: 0486218465 | 2017 | EPUB | 160 pages | 10 MB

Posted by **AvaxGenius** at Oct. 15, 2017

English | PDF | 2004 | 479 Pages | ISBN : 3540211276 | 30.05 MB

From the reviews of previous editions:

".. An excellent reference on undergraduate mathematical computing."American Mathematical Monthly

Posted by **AvaxGenius** at Oct. 15, 2017

English | PDF | 1997 | 416 Pages | ISBN : 3540617930 | 39.71 MB

From the reviews of the second edition:

"… The authors of this book have excelled by linking the title to two well-known mathematical packages, Maple and MATLAB. There are good reasons for this. Maple is supremely competent in symbolic mathematics and MATLAB in numerical and engineering calculations. MATLAB users can also gain access to Maple functions through an optional MATLAB symbolic mathematics toolbox, which is a version of Maple recast to suit MATLAB users.

Posted by **AvaxGenius** at Oct. 15, 2017

English | PDF | 1995 | 317 Pages | ISBN : 3540587462 | 26.29 MB

Modern computing tools like Maple (symbolic computation) and MATLAB (a numeric computation and visualization program) make it possible to easily solve realistic nontrivial problems in scientific computing. In education, traditionally, complicated problems were avoided, since the amount of work for obtaining the solutions was not feasible for students.

Posted by **AvaxGenius** at Oct. 15, 2017

English | PDF | 1993 | 268 Pages | ISBN : 3540573291 | 21.9 MB

Modern computing tools like Maple (symbolic computation) and Matlab (a numeric computation and visualization program) make it possible to easily solve realistic nontrivial problems in scientific computing. In education, traditionally, complicated problems were avoided, since the amount of work for obtaining the solutions was not feasible for the students.