Introduction to Mathematica with Applications

Author: Marian Mureşan
Publisher: Springer
ISBN: 9783319520032
Release Date: 2017-02-21
Genre: Computers

Starting with an introduction to the numerous features of Mathematica®, this book continues with more complex material. It provides the reader with lots of examples and illustrations of how the benefits of Mathematica® can be used. Composed of eleven chapters, it includes the following: A chapter on several sorting algorithms Functions (planar and solid) with many interesting examples Ordinary differential equations Advantages of Mathematica® dealing with the Pi number The power of Mathematica® working with optimal control problems Introduction to Mathematica® with Applications will appeal to researchers, professors and students requiring a computational tool.

The Student s Introduction to MATHEMATICA

Author: Bruce F. Torrence
Publisher: Cambridge University Press
ISBN: 9781139473736
Release Date: 2009-01-29
Genre: Computers

The unique feature of this compact student's introduction is that it presents concepts in an order that closely follows a standard mathematics curriculum, rather than structure the book along features of the software. As a result, the book provides a brief introduction to those aspects of the Mathematica software program most useful to students. The second edition of this well loved book is completely rewritten for Mathematica 6 including coverage of the new dynamic interface elements, several hundred exercises and a new chapter on programming. This book can be used in a variety of courses, from precalculus to linear algebra. Used as a supplementary text it will aid in bridging the gap between the mathematics in the course and Mathematica. In addition to its course use, this book will serve as an excellent tutorial for those wishing to learn Mathematica and brush up on their mathematics at the same time.

Introduction to Mathematica for Physicists

Author: Andrey Grozin
Publisher: Springer Science & Business Media
ISBN: 9783319008943
Release Date: 2013-08-26
Genre: Science

The basics of computer algebra and the language of Mathematica are described in this textbook, leading towards an understanding of Mathematica that allows the reader to solve problems in physics, mathematics, and chemistry. Mathematica is the most widely used system for doing mathematical calculations by computer, including symbolic and numeric calculations and graphics. It is used in physics and other branches of science, in mathematics, education and many other areas.

Differential Equations

Author: Clay C. Ross
Publisher: Springer Science & Business Media
ISBN: 9781475739497
Release Date: 2013-03-09
Genre: Mathematics

The first edition (94301-3) was published in 1995 in TIMS and had 2264 regular US sales, 928 IC, and 679 bulk. This new edition updates the text to Mathematica 5.0 and offers a more extensive treatment of linear algebra. It has been thoroughly revised and corrected throughout.

Mathematica Graphics

Author: Tom Wickham-Jones
Publisher: Springer Science & Business Media
ISBN: 0387940472
Release Date: 1994-11-04
Genre: Computers

"Mathematica Graphics is a step-by-step, comprehensive instructional book on visualization and computer graphics using Mathematica. It provides detailed information on how to solve common problems that Mathematica users confront and contains a vast range of graphics examples. It appeals to all levels of users as it works its way from basic problems to advanced topics." -- Back cover.

Dynamical Systems with Applications using Mathematica

Author: Stephen Lynch
Publisher: Springer Science & Business Media
ISBN: 9780817645861
Release Date: 2007-09-20
Genre: Mathematics

This book provides an introduction to the theory of dynamical systems with the aid of the Mathematica® computer algebra package. The book has a very hands-on approach and takes the reader from basic theory to recently published research material. Emphasized throughout are numerous applications to biology, chemical kinetics, economics, electronics, epidemiology, nonlinear optics, mechanics, population dynamics, and neural networks. Theorems and proofs are kept to a minimum. The first section deals with continuous systems using ordinary differential equations, while the second part is devoted to the study of discrete dynamical systems.

Multivariable Calculus and Mathematica

Author: Kevin R. Coombes
Publisher: Springer Science & Business Media
ISBN: 9781461216988
Release Date: 2012-12-06
Genre: Mathematics

Aiming to "modernise" the course through the integration of Mathematica, this publication introduces students to its multivariable uses, instructs them on its use as a tool in simplifying calculations, and presents introductions to geometry, mathematical physics, and kinematics. The authors make it clear that Mathematica is not algorithms, but at the same time, they clearly see the ways in which Mathematica can make things cleaner, clearer and simpler. The sets of problems give students an opportunity to practice their newly learned skills, covering simple calculations, simple plots, a review of one-variable calculus using Mathematica for symbolic differentiation, integration and numerical integration, and also cover the practice of incorporating text and headings into a Mathematica notebook. The accompanying diskette contains both Mathematica 2.2 and 3.0 version notebooks, as well as sample examination problems for students, which can be used with any standard multivariable calculus textbook. It is assumed that students will also have access to an introductory primer for Mathematica.

Linear Algebra

Author: Fred Szabo
Publisher: Elsevier
ISBN: 0126801371
Release Date: 2000
Genre: Computers

This book introduces interested readers, practitioners, and researchers to Mathematica methods for solving practical problems in linear algebra. It contains step-by-step solutions of problems in computer science, economics, engineering, mathematics, statistics, and other areas of application. Each chapter contains both elementary and more challenging problems, grouped by fields of application, and ends with a set of exercises. Selected answers are provided in an appendix. The book contains a glossary of definitions and theorem, as well as a summary of relevant Mathematica tools. Applications of Linear Algebra can be used both in laboratory sessions and as a source of take-home problems and projects. * Concentrates on problem solving and aims to increase the readers' analytical skills * Provides ample opportunities for applying theoretical results and transferring knowledge between different areas of application; Mathematica plays a key role in this process * Makes learning fun and builds confidence * Allows readers to tackle computationally challenging problems by minimizing the frustration caused by the arithmetic intricacies of numerical linear algebra

An Introduction to Programming with Mathematica

Author: Paul R. Wellin
Publisher: Cambridge University Press
ISBN: 0521846781
Release Date: 2005-01-13
Genre: Computers

An Introduction to Programming with Mathematica® is designed to introduce the Mathematica programming language to a wide audience. Since the last edition of this book was published, significant changes have occurred in Mathematica and its use worldwide. Keeping pace with these changes, this substantially larger, updated version includes new and revised chapters on numerics, procedural, rule-based, and front-end programming, and gives significant coverage to the latest features up to, and including, Mathematica 5.1 Mathematica notebooks, available from www.cambridge.org/0521846781, contain examples, programs, and solutions to exercises in the book. Additionally, material to supplement later versions of the software will be made available. This is the ideal text for all scientific students, researchers, and programmers wishing to deepen their understanding of Mathematica, or even those keen to program using an interactive language that contains programming paradigms from all major programming languages: procedural, functional, recursive, rule-based, and object-oriented.

Practical Optimization Methods

Author: M. Asghar Bhatti
Publisher: Springer Science & Business Media
ISBN: 9781461205012
Release Date: 2012-12-06
Genre: Mathematics

This introductory textbook adopts a practical and intuitive approach, rather than emphasizing mathematical rigor. Computationally oriented books in this area generally present algorithms alone, and expect readers to perform computations by hand, and are often written in traditional computer languages, such as Basic, Fortran or Pascal. This book, on the other hand, is the first text to use Mathematica to develop a thorough understanding of optimization algorithms, fully exploiting Mathematica's symbolic, numerical and graphic capabilities.

Modern Introduction to Surface Plasmons

Author: Dror Sarid
Publisher: Cambridge University Press
ISBN: 9781139643580
Release Date: 2010-05-06
Genre: Science

Introducing graduate students in physics, optics, materials science and electrical engineering to surface plasmons, this book also covers guided modes at planar interfaces of metamaterials with negative refractive index. The physics of localized and propagating surface plasmons, on planar films, gratings, nanowires and nanoparticles, is developed using both analytical and numerical techniques. Guided modes at the interfaces between materials with any combination of positive or negative permittivity and permeability are analyzed in a systematic manner. Applications of surface plasmon physics are described, including near-field transducers in heat-assisted magnetic recording and biosensors. Resources at www.cambridge.org/9780521767170 include Mathematica code to generate figures from the book, color versions of many figures, and extended discussion of topics such as vector diffraction theory.

Programmieren mit Wolfram Mathematica

Author: Axel Kilian
Publisher: Springer-Verlag
ISBN: 9783642046728
Release Date: 2009-10-13
Genre: Mathematics

Ob für Anfänger, Fortgeschrittene oder Experten - dieses von einem erfahrenen Praktiker geschriebene Buch wendet sich an alle Nutzer von Mathematica®. Anhand der unterschiedlich schwierigen Programmierbeispiele lernen Leser ganz nebenbei Lösungen konkreter Probleme kennen. Jedes der Beispiele beginnt mit einer Aufgabenbeschreibung, gefolgt von Analyse und Diskussion verschiedener Lösungsansätze und der Implementierung im Sinne der beschriebenen Programmiergrundsätze. Die grafischen Benutzeroberflächen bilden einen weiteren Schwerpunkt des Buchs.

Introduction to Probability with Mathematica Second Edition

Author: Kevin J. Hastings
Publisher: CRC Press
ISBN: 1420079409
Release Date: 2009-09-21
Genre: Mathematics

Updated to conform to Mathematica® 7.0, Introduction to Probability with Mathematica®, Second Edition continues to show students how to easily create simulations from templates and solve problems using Mathematica. It provides a real understanding of probabilistic modeling and the analysis of data and encourages the application of these ideas to practical problems. The accompanying CD-ROM offers instructors the option of creating class notes, demonstrations, and projects. New to the Second Edition Expanded section on Markov chains that includes a study of absorbing chains New sections on order statistics, transformations of multivariate normal random variables, and Brownian motion More example data of the normal distribution More attention on conditional expectation, which has become significant in financial mathematics Additional problems from Actuarial Exam P New appendix that gives a basic introduction to Mathematica New examples, exercises, and data sets, particularly on the bivariate normal distribution New visualization and animation features from Mathematica 7.0 Updated Mathematica notebooks on the CD-ROM (Go to Downloads/Updates tab for link to CD files.) After covering topics in discrete probability, the text presents a fairly standard treatment of common discrete distributions. It then transitions to continuous probability and continuous distributions, including normal, bivariate normal, gamma, and chi-square distributions. The author goes on to examine the history of probability, the laws of large numbers, and the central limit theorem. The final chapter explores stochastic processes and applications, ideal for students in operations research and finance.

A Beginner s Guide To Mathematica

Author: David McMahon
Publisher: CRC Press
ISBN: 1420010395
Release Date: 2006-01-13
Genre: Mathematics

Because of its large command structure and intricate syntax, Mathematica can be difficult to learn. Wolfram's Mathematica manual, while certainly comprehensive, is so large and complex that when trying to learn the software from scratch -- or find answers to specific questions -- one can be quickly overwhelmed. A Beginner's Guide to Mathematica offers a simple, step-by-step approach to help math-savvy newcomers build the skills needed to use the software in practice. Concise and easy to use, this book teaches by example and points out potential pitfalls along the way. The presentation starts with simple problems and discusses multiple solution paths, ranging from basic to elegant, to gradually introduce the Mathematica toolkit. More challenging and eventually cutting-edge problems follow. The authors place high value on notebook and file system organization, cross-platform capabilities, and data reading and writing. The text features an array of error messages you will likely encounter and clearly describes how to deal with those situations. While it is by no means exhaustive, this book offers a non-threatening introduction to Mathematica that will teach you the aspects needed for many practical applications, get you started on performing specific, relatively simple tasks, and enable you to build on this experience and move on to more real-world problems.