Introduction To Mathematics With Maple

Introduction To Mathematics With Maple
Author: Peter Adams
Publisher: World Scientific Publishing Company
Total Pages: 544
Release: 2004-06-21
Genre: Mathematics
ISBN: 981310211X

The principal aim of this book is to introduce university level mathematics — both algebra and calculus. The text is suitable for first and second year students. It treats the material in depth, and thus can also be of interest to beginning graduate students.New concepts are motivated before being introduced through rigorous definitions. All theorems are proved and great care is taken over the logical structure of the material presented. To facilitate understanding, a large number of diagrams are included. Most of the material is presented in the traditional way, but an innovative approach is taken with emphasis on the use of Maple and in presenting a modern theory of integration. To help readers with their own use of this software, a list of Maple commands employed in the book is provided. The book advocates the use of computers in mathematics in general, and in pure mathematics in particular. It makes the point that results need not be correct just because they come from the computer. A careful and critical approach to using computer algebra systems persists throughout the text.

Mathematical Computing

Mathematical Computing
Author: David Betounes
Publisher: Springer Science & Business Media
Total Pages: 419
Release: 2012-12-06
Genre: Computers
ISBN: 1461300673

This book teaches introductory computer programming using Maple, offering more mathematically oriented exercises and problems than those found in traditional programming courses, while reinforcing and applying concepts and techniques of calculus. Includes case studies.

Introduction to Maple

Introduction to Maple
Author: Andre HECK
Publisher: Springer Science & Business Media
Total Pages: 503
Release: 2012-12-06
Genre: Computers
ISBN: 1468405195

The fully revised edition of this best-selling title presents the modern computer algebra system Maple. It teaches the reader not only what can be done by Maple, but also how and why it can be done. The book provides the necessary background for those who want the most of Maple or want to extend its built-in knowledge, containing both elementary and more sophisticated examples as well as many exercises.

Introduction to Mathematics with Maple

Introduction to Mathematics with Maple
Author: Peter Adams
Publisher: World Scientific
Total Pages: 548
Release: 2004
Genre: Mathematics
ISBN: 9789812560094

The principal aim of this book is to introduce university level mathematics ? both algebra and calculus. The text is suitable for first and second year students. It treats the material in depth, and thus can also be of interest to beginning graduate students.New concepts are motivated before being introduced through rigorous definitions. All theorems are proved and great care is taken over the logical structure of the material presented. To facilitate understanding, a large number of diagrams are included. Most of the material is presented in the traditional way, but an innovative approach is taken with emphasis on the use of Maple and in presenting a modern theory of integration. To help readers with their own use of this software, a list of Maple commands employed in the book is provided. The book advocates the use of computers in mathematics in general, and in pure mathematics in particular. It makes the point that results need not be correct just because they come from the computer. A careful and critical approach to using computer algebra systems persists throughout the text.

An Introduction to Modern Mathematical Computing

An Introduction to Modern Mathematical Computing
Author: Jonathan M. Borwein
Publisher: Springer Science & Business Media
Total Pages: 237
Release: 2012-08-07
Genre: Mathematics
ISBN: 1461442532

Thirty years ago mathematical, as opposed to applied numerical, computation was difficult to perform and so relatively little used. Three threads changed that: the emergence of the personal computer; the discovery of fiber-optics and the consequent development of the modern internet; and the building of the Three “M’s” Maple, Mathematica and Matlab. We intend to persuade that Mathematica and other similar tools are worth knowing, assuming only that one wishes to be a mathematician, a mathematics educator, a computer scientist, an engineer or scientist, or anyone else who wishes/needs to use mathematics better. We also hope to explain how to become an "experimental mathematician" while learning to be better at proving things. To accomplish this our material is divided into three main chapters followed by a postscript. These cover elementary number theory, calculus of one and several variables, introductory linear algebra, and visualization and interactive geometric computation.

Mathematical Biology

Mathematical Biology
Author: Ronald W. Shonkwiler
Publisher: Springer Science & Business Media
Total Pages: 552
Release: 2009-08-04
Genre: Science
ISBN: 0387709843

This text presents mathematical biology as a field with a unity of its own, rather than only the intrusion of one science into another. The book focuses on problems of contemporary interest, such as cancer, genetics, and the rapidly growing field of genomics.

Advanced Mathematical Methods with Maple

Advanced Mathematical Methods with Maple
Author: Derek Richards
Publisher: Cambridge University Press
Total Pages: 884
Release: 2002
Genre: Computers
ISBN: 9780521779814

A user-friendly student guide to computer-assisted algebra with mathematical software packages such as Maple.

Maple

Maple
Author: Bernard V Liengme
Publisher: Morgan & Claypool Publishers
Total Pages: 171
Release: 2019-06-04
Genre: Science
ISBN: 1643274880

Maple is a comprehensive symbolic mathematics application which is well suited for demonstrating physical science topics and solving associated problems. Because Maple is such a rich application, it has a somewhat steep learning curve. Most existing texts concentrate on mathematics; the Maple help facility is too detailed and lacks physical science examples, many Maple-related websites are out of date giving readers information on older Maple versions. This book records the author's journey of discovery; he was familiar with SMath but not with Maple and set out to learn the more advanced application. It leads readers through the basic Maple features with physical science worked examples, giving them a firm base on which to build if more complex features interest them.

Scientific Computing - An Introduction using Maple and MATLAB

Scientific Computing - An Introduction using Maple and MATLAB
Author: Walter Gander
Publisher: Springer Science & Business
Total Pages: 926
Release: 2014-04-23
Genre: Mathematics
ISBN: 3319043250

Scientific computing is the study of how to use computers effectively to solve problems that arise from the mathematical modeling of phenomena in science and engineering. It is based on mathematics, numerical and symbolic/algebraic computations and visualization. This book serves as an introduction to both the theory and practice of scientific computing, with each chapter presenting the basic algorithms that serve as the workhorses of many scientific codes; we explain both the theory behind these algorithms and how they must be implemented in order to work reliably in finite-precision arithmetic. The book includes many programs written in Matlab and Maple – Maple is often used to derive numerical algorithms, whereas Matlab is used to implement them. The theory is developed in such a way that students can learn by themselves as they work through the text. Each chapter contains numerous examples and problems to help readers understand the material “hands-on”.

From Elementary Probability to Stochastic Differential Equations with MAPLE®

From Elementary Probability to Stochastic Differential Equations with MAPLE®
Author: Sasha Cyganowski
Publisher: Springer Science & Business Media
Total Pages: 323
Release: 2012-12-06
Genre: Mathematics
ISBN: 3642561446

This is an introduction to probabilistic and statistical concepts necessary to understand the basic ideas and methods of stochastic differential equations. Based on measure theory, which is introduced as smoothly as possible, it provides practical skills in the use of MAPLE in the context of probability and its applications. It offers to graduates and advanced undergraduates an overview and intuitive background for more advanced studies.