An Introduction to Nonlinear Analysis

An Introduction to Nonlinear Analysis: Theory  eBooks & eLearning

Posted by step778 at Nov. 8, 2016
An Introduction to Nonlinear Analysis: Theory

Zdzislaw Denkowski, Stanislaw Migórski, Nikolaos S. Papageorgiou, "An Introduction to Nonlinear Analysis: Theory"
2003 | pages: 699 | ISBN: 1461348145 | PDF | 26,4 mb
Ordinary Differential Equations: An Introduction to Nonlinear Analysis (repost)

Herbert Amann, "Ordinary Differential Equations: An Introduction to Nonlinear Analysis"
English | 1990 | ISBN: 3110115158, 0899255523 | 471 pages | Djvu | 5,4 MB

Optima and Equilibria: An Introduction to Nonlinear Analysis (2nd edition)  eBooks & eLearning

Posted by ChrisRedfield at Feb. 27, 2014
Optima and Equilibria: An Introduction to Nonlinear Analysis (2nd edition)

Jean Pierre Aubin - Optima and Equilibria: An Introduction to Nonlinear Analysis (2nd edition)
Published: 2002-11-18 | ISBN: 3540649832 | PDF | 437 pages | 135 MB

Ordinary Differential Equations: An Introduction to Nonlinear Analysis (repost)  eBooks & eLearning

Posted by interes at Oct. 3, 2013
Ordinary Differential Equations: An Introduction to Nonlinear Analysis (repost)

Herbert Amann, "Ordinary Differential Equations: An Introduction to Nonlinear Analysis"
English | 1990 | ISBN: 3110115158, 0899255523 | 471 pages | Djvu | 5,4 MB

Complex Dynamics and Morphogenesis: An Introduction to Nonlinear Science  eBooks & eLearning

Posted by hill0 at Jan. 2, 2017
Complex Dynamics and Morphogenesis: An Introduction to Nonlinear Science

Complex Dynamics and Morphogenesis: An Introduction to Nonlinear Science by Chaouqi Misbah
English | 20 Dec. 2016 | ISBN: 940241018X | 484 Pages | PDF | 13.93 MB

This book offers an introduction to the physics of nonlinear phenomena through two complementary approaches: bifurcation theory and catastrophe theory. Readers will be gradually introduced to the language and formalisms of nonlinear sciences, which constitute the framework to describe complex systems. The difficulty with complex systems is that their evolution cannot be fully predicted because of the interdependence and interactions between their different components.

An Introduction to Nonlinear Finite Element Analysis  eBooks & eLearning

Posted by rolexmaya at Feb. 2, 2011
An Introduction to Nonlinear Finite Element Analysis

An Introduction to Nonlinear Finite Element Analysis
Oxford University Press, USA | June 3, 2004 | ISBN-10: 019852529X | 488 pages | PDF | 6.67 Mb

This book presents the theory and computer implementations of the finite element method as applied to nonlinear problems of heat transfer and similar field problems, fluid mechanics (flows of incompressible fluids), and solid mechanics (elasticity, beams and plates).

An Introduction to the Analysis of Algorithms, 2nd Edition (Repost)  eBooks & eLearning

Posted by nebulae at Jan. 8, 2017
An Introduction to the Analysis of Algorithms, 2nd Edition (Repost)

Robert Sedgewick, Philippe Flajolet, "An Introduction to the Analysis of Algorithms, 2nd Edition"
English | 2013 | ISBN: 032190575X | PDF | 592 pages | 5 MB

An Introduction to Fourier Analysis  eBooks & eLearning

Posted by arundhati at Dec. 29, 2016
An Introduction to Fourier Analysis

Russell L. Herman, "An Introduction to Fourier Analysis"
2016 | ISBN-10: 1498773702 | 402 pages | PDF | 7 MB

An Introduction to Error Analysis [Repost]  eBooks & eLearning

Posted by tanas.olesya at Dec. 14, 2016
An Introduction to Error Analysis [Repost]

An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements by John R. Taylor
English | 14 July 1997 | ISBN: 0935702423, 093570275X | 344 Pages | PDF | 31 MB

The early chapters teach elementary techniques of error propagation and statistical analysis to enable students to produce successful lab reports.

An Introduction to Data Analysis using Aggregation Functions in R  eBooks & eLearning

Posted by Underaglassmoon at Nov. 18, 2016
An Introduction to Data Analysis using Aggregation Functions in R

An Introduction to Data Analysis using Aggregation Functions in R
Springer | Artificial Intelligence | December 5, 2016 | ISBN-10: 3319467611 | 199 pages | pdf | 4.56 mb

Authors: James, Simon
Provides an overview of aggregation functions
Includes hands-on tutorials on how to program the functions covered in R without needing extensive programming courses
Does not assume a mathematics background