A Primer of Nonlinear Analysis

A Primer of Nonlinear Analysis
Author: Antonio Ambrosetti
Publisher: Cambridge University Press
Total Pages: 184
Release: 1995-03-09
Genre: Mathematics
ISBN: 9780521485739

This is an elementary and self-contained introduction to nonlinear functional analysis and its applications, especially in bifurcation theory.

Nonlinear Analysis and Semilinear Elliptic Problems

Nonlinear Analysis and Semilinear Elliptic Problems
Author: Antonio Ambrosetti
Publisher: Cambridge University Press
Total Pages: 334
Release: 2007-01-04
Genre: Mathematics
ISBN: 9780521863209

A graduate text explaining how methods of nonlinear analysis can be used to tackle nonlinear differential equations. Suitable for mathematicians, physicists and engineers, topics covered range from elementary tools of bifurcation theory and analysis to critical point theory and elliptic partial differential equations. The book is amply illustrated with many exercises.

Nonlinear Dynamics

Nonlinear Dynamics
Author: Todd Evans
Publisher: BoD – Books on Demand
Total Pages: 378
Release: 2010-01-01
Genre: Computers
ISBN: 9537619613

This volume covers a diverse collection of topics dealing with some of the fundamental concepts and applications embodied in the study of nonlinear dynamics. Each of the 15 chapters contained in this compendium generally fit into one of five topical areas: physics applications, nonlinear oscillators, electrical and mechanical systems, biological and behavioral applications or random processes. The authors of these chapters have contributed a stimulating cross section of new results, which provide a fertile spectrum of ideas that will inspire both seasoned researches and students.

Solitons in Field Theory and Nonlinear Analysis

Solitons in Field Theory and Nonlinear Analysis
Author: Yisong Yang
Publisher: Springer Science & Business Media
Total Pages: 571
Release: 2013-03-14
Genre: Mathematics
ISBN: 1475765487

There are two approaches in the study of differential equations of field theory. The first, finding closed-form solutions, works only for a narrow category of problems. Written by a well-known active researcher, this book focuses on the second, which is to investigate solutions using tools from modern nonlinear analysis.

Nonlinear Contingency Analysis

Nonlinear Contingency Analysis
Author: T. V. Joe Layng
Publisher: Routledge
Total Pages: 176
Release: 2021-10-26
Genre: Psychology
ISBN: 1000466264

Nonlinear Contingency Analysis is a guide to treating clinically complex behavior problems such as delusions and hallucinations. It’s also a framework for treating behavior problems, one that explores solutions based on the creation of new or alternative consequential contingencies rather than the elimination or deceleration of old or problematic thoughts, feelings, or behaviors. Chapters present strategies, analytical tools, and interventions that clinicians can use in session to think about clients’ problems using decision theory, experimental analysis of behavior, and clinical research and practice. By treating thoughts and emotions not as causes of behavior but as indicators of the environmental conditions that are responsible for them, patients can use that knowledge to make changes that not only result in changes in behavior, but in the thoughts and feelings themselves.

A Primer in Biological Data Analysis and Visualization Using R

A Primer in Biological Data Analysis and Visualization Using R
Author: Gregg Hartvigsen
Publisher: Columbia University Press
Total Pages: 245
Release: 2014-02-18
Genre: Education
ISBN: 0231537042

R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normal data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter introducing algorithms and the art of programming using R.

A First Course in Numerical Analysis

A First Course in Numerical Analysis
Author: Anthony Ralston
Publisher: Courier Corporation
Total Pages: 644
Release: 2001-01-01
Genre: Mathematics
ISBN: 9780486414546

Outstanding text, oriented toward computer solutions, stresses errors in methods and computational efficiency. Problems — some strictly mathematical, others requiring a computer — appear at the end of each chapter.

Methods of Nonlinear Analysis

Methods of Nonlinear Analysis
Author: Pavel Drabek
Publisher: Springer Science & Business Media
Total Pages: 652
Release: 2013-01-18
Genre: Mathematics
ISBN: 3034803877

In this book, fundamental methods of nonlinear analysis are introduced, discussed and illustrated in straightforward examples. Each method considered is motivated and explained in its general form, but presented in an abstract framework as comprehensively as possible. A large number of methods are applied to boundary value problems for both ordinary and partial differential equations. In this edition we have made minor revisions, added new material and organized the content slightly differently. In particular, we included evolutionary equations and differential equations on manifolds. The applications to partial differential equations follow every abstract framework of the method in question. The text is structured in two levels: a self-contained basic level and an advanced level - organized in appendices - for the more experienced reader. The last chapter contains more involved material and can be skipped by those new to the field. This book serves as both a textbook for graduate-level courses and a reference book for mathematicians, engineers and applied scientists

Finite Element Multidisciplinary Analysis

Finite Element Multidisciplinary Analysis
Author: Kajal K. Gupta
Publisher: AIAA
Total Pages: 458
Release: 2003
Genre: Finite element method
ISBN: 9781600860539

Annotation This book fills a gap within the finite element literature by addressing the challenges and developments in multidiscipli-nary analysis. Current developments include disciplines of structural mechanics, heat transfer, fluid mechanics, controls engineering and propulsion technology, and their interaction as encountered in many practical problems in aeronautical, aerospace, and mechanical engineering, among others. These topics are reflected in the 15 chapter titles of the book. Numerical problems are provided to illustrate the applicability of the techniques. Exercises may be solved either manually or by using suitable computer software. A version of the multidisciplinary analysis program STARS is available from the author. As a textbook, the book is useful at the senior undergraduate or graduate level. The practicing engineer will find it invaluable for solving full-scale practical problems.