Mathematical Analysis II: Optimisation, Differential Equations and Graph Theory

Mathematical Analysis II: Optimisation, Differential Equations and Graph Theory
Author: Naokant Deo
Publisher: Springer Nature
Total Pages: 264
Release: 2020-03-11
Genre: Mathematics
ISBN: 9811511578

This book collects original research papers and survey articles presented at the International Conference on Recent Advances in Pure and Applied Mathematics (ICRAPAM), held at Delhi Technological University, India, on 23–25 October 2018. Divided into two volumes, it discusses major topics in mathematical analysis and its applications, and demonstrates the versatility and inherent beauty of analysis. It also shows the use of analytical techniques to solve problems and, wherever possible, derive their numerical solutions. This volume addresses major topics, such as multi-objective optimization problems, impulsive differential equations, mathematical modelling, fuzzy mathematics, graph theory, and coding theory. It is a valuable resource to students as well as researchers in mathematical sciences.

Continuous Optimization and Variational Inequalities

Continuous Optimization and Variational Inequalities
Author: Anurag Jayswal
Publisher: CRC Press
Total Pages: 309
Release: 2022-09-13
Genre: Technology & Engineering
ISBN: 1000648982

The proposed book provides a comprehensive coverage of theory and methods in the areas of continuous optimization and variational inequality. It describes theory and solution methods for optimization with smooth and non-smooth functions, for variational inequalities with single-valued and multivalued mappings, and for related classes such as mixed variational inequalities, complementarity problems, and general equilibrium problems. The emphasis is made on revealing generic properties of these problems that allow creation of efficient solution methods. Salient Features The book presents a deep, wide-ranging introduction to the theory of the optimal control of processes governed by optimization techniques and variational inequality Several solution methods are provided which will help the reader to develop various optimization tools for real-life problems which can be modeled by optimization techniques involving linear and nonlinear functions. The book focuses on most recent contributions in the nonlinear phenomena, which can appear in various areas of human activities. This book also presents relevant mathematics clearly and simply to help solve real life problems in diverse fields such as mechanical engineering, management, control behavior, traffic signal, industry, etc. This book is aimed primarily at advanced undergraduates and graduate students pursuing computer engineering and electrical engineering courses. Researchers, academicians and industry people will also find this book useful.

College of Engineering

College of Engineering
Author: University of Michigan. College of Engineering
Publisher: UM Libraries
Total Pages: 1094
Release: 1974
Genre: Engineering schools
ISBN:

Visual Group Theory

Visual Group Theory
Author: Nathan Carter
Publisher: American Mathematical Soc.
Total Pages: 295
Release: 2021-06-08
Genre: Education
ISBN: 1470464330

Recipient of the Mathematical Association of America's Beckenbach Book Prize in 2012! Group theory is the branch of mathematics that studies symmetry, found in crystals, art, architecture, music and many other contexts, but its beauty is lost on students when it is taught in a technical style that is difficult to understand. Visual Group Theory assumes only a high school mathematics background and covers a typical undergraduate course in group theory from a thoroughly visual perspective. The more than 300 illustrations in Visual Group Theory bring groups, subgroups, homomorphisms, products, and quotients into clear view. Every topic and theorem is accompanied with a visual demonstration of its meaning and import, from the basics of groups and subgroups through advanced structural concepts such as semidirect products and Sylow theory.

Graph Algorithms in the Language of Linear Algebra

Graph Algorithms in the Language of Linear Algebra
Author: Jeremy Kepner
Publisher: SIAM
Total Pages: 388
Release: 2011-01-01
Genre: Mathematics
ISBN: 9780898719918

The current exponential growth in graph data has forced a shift to parallel computing for executing graph algorithms. Implementing parallel graph algorithms and achieving good parallel performance have proven difficult. This book addresses these challenges by exploiting the well-known duality between a canonical representation of graphs as abstract collections of vertices and edges and a sparse adjacency matrix representation. This linear algebraic approach is widely accessible to scientists and engineers who may not be formally trained in computer science. The authors show how to leverage existing parallel matrix computation techniques and the large amount of software infrastructure that exists for these computations to implement efficient and scalable parallel graph algorithms. The benefits of this approach are reduced algorithmic complexity, ease of implementation, and improved performance.

Partial Differential Equations with Numerical Methods

Partial Differential Equations with Numerical Methods
Author: Stig Larsson
Publisher: Springer Science & Business Media
Total Pages: 263
Release: 2008-12-05
Genre: Mathematics
ISBN: 3540887059

The main theme is the integration of the theory of linear PDE and the theory of finite difference and finite element methods. For each type of PDE, elliptic, parabolic, and hyperbolic, the text contains one chapter on the mathematical theory of the differential equation, followed by one chapter on finite difference methods and one on finite element methods. The chapters on elliptic equations are preceded by a chapter on the two-point boundary value problem for ordinary differential equations. Similarly, the chapters on time-dependent problems are preceded by a chapter on the initial-value problem for ordinary differential equations. There is also one chapter on the elliptic eigenvalue problem and eigenfunction expansion. The presentation does not presume a deep knowledge of mathematical and functional analysis. The required background on linear functional analysis and Sobolev spaces is reviewed in an appendix. The book is suitable for advanced undergraduate and beginning graduate students of applied mathematics and engineering.

Numerical Optimization

Numerical Optimization
Author: Joseph-Frédéric Bonnans
Publisher: Springer Science & Business Media
Total Pages: 492
Release: 2006-10-06
Genre: Mathematics
ISBN: 3540354476

This book starts with illustrations of the ubiquitous character of optimization, and describes numerical algorithms in a tutorial way. It covers fundamental algorithms as well as more specialized and advanced topics for unconstrained and constrained problems. This new edition of Numerical Optimization contains computational exercises in the form of case studies which help understanding optimization methods beyond their theoretical description when coming to actual implementation.

Strange Functions in Real Analysis, Second Edition

Strange Functions in Real Analysis, Second Edition
Author: A.B. Kharazishvili
Publisher: CRC Press
Total Pages: 320
Release: 2000-01-31
Genre: Mathematics
ISBN: 9780824703202

This volume aims to explicate extraordinary functions in real analysis and their applications. It examines the Baire category method, the Zermelo-Fraenkel set, the Axiom of Dependent Choices, Cantor and Peano type functions, the Continuum Hypothesis, everywhere differentiable nowhere monotone functions, and Jarnik's nowhere approximately differentiable functions.