Posted by **First1** at Jan. 6, 2018

English | February 20th, 2017 | ASIN: B06ZYTJTBL, ISBN: 1786343347, 1786343339 | 396 pages | EPUB | 39.38 MB

This book constitutes a concise introductory course on Functional Analysis for students who have studied calculus and linear algebra. The topics covered are Banach spaces, continuous linear transformations, Frechet derivative, geometry of Hilbert spaces, compact operators, and distributions. In addition, the book includes selected applications of functional analysis to differential equations, optimization, physics (classical and quantum mechanics), and numerical analysis. The book contains 197 problems, meant to reinforce the fundamental concepts.

Posted by **arundhati** at Jan. 4, 2018

English | 2003 | ISBN: 1852335521 | 369 pages | PDF | 9 MB

Posted by **tanas.olesya** at Dec. 8, 2017

English | 2 Dec. 2008 | ISBN: 0387789324 | 443 Pages | PDF | 4 MB

Mathematical analysis offers a solid basis for many achievements in applied mathematics and discrete mathematics. This new textbook is focused on differential and integral calculus, and includes a wealth of useful and relevant examples, exercises, and results enlightening the reader to the power of mathematical tools.

Posted by **DZ123** at Nov. 21, 2017

English | 2008 | ISBN: 0387789324, 1441927050 | PDF | pages: 442 | 7.1 mb

Posted by **thingska** at July 23, 2017

English | 2017 | ISBN: 1137600764, 9781137600769 | 168 Pages | PDF | 5.80 MB

Posted by **nebulae** at July 10, 2017

English | 2003 | ISBN: 1852335521 | 369 pages | PDF | 9 MB

Posted by **thingska** at May 9, 2017

English | 2013 | ISBN: 1852335521, 9781852335526, B000VXKC9K | 362 Pages | PDF | 7.59 MB

Posted by **arundhati** at May 7, 2017

English | 2003 | ISBN: 1852335521 | 369 pages | PDF | 9 MB

Posted by **naag** at April 1, 2017

Springer | Computer Science | November 24, 2016 | ISBN-10: 3709107407 | 535 pages | pdf | 12.17 mb

Posted by **leonardo78** at March 25, 2017

2014 | ISBN: 9814578983 | 288 pages | DJVU | 6,7 MB

The book constitutes a basic, concise, yet rigorous course in complex analysis, for students who have studied calculus in one and several variables, but have not previously been exposed to complex analysis.