Hands-On Start to Wolfram Mathematica: And Programming with the Wolfram Language
Authors: Cliff Hastings – Kelvin Mischo – Michael Morrison
ISBN-10: 1579550126
ISBN-13: 9781579550127
Edition 版本: 2nd.
Released: 2016-12-25
Print Length 页数: 484 pages
Book Description
For more than 25 years,Mathematica has been the principal computation environment for millions of innovators,educators,students,and others around the world. This book is an introduction to Mathematica. The goal is to provide a hands-on experience introducing the breadth of Mathematica with a focus on ease of use. Readers get detailed instruction with examples for interactive learning and end-of-chapter exercises. Each chapter also contains authors’ tips from their combined 50+ years of Mathematica use.
This book is a much-needed complement to existing support material for Mathematica in particular,and Wolfram technologies in general. It puts to rest,once and for all,the frequently heard claim that Mathematica is difficult and not accessible to the school and college levels of our computational universe. –FRED SZABO: Concordia University in Montreal,author of Actuaries’ Survival Guide
Mathematica has had a transformative effect on my teaching and on student learning in all of my classes,from my lowest-level high-school honors chemistry classes to my most advanced classes in computational chemistry,computational medicinal chemistry and scientific programming. –ROBERT GOTWALS: North Carolina School of Science and Mathematics
Introduction: How to Use this Book
1: The Very Basics
2: A Sample Project in Mathematica
3: Input and Output
4: Word Processing and Typesetting
5: Presenting with Slide Shows
6: Fundamentals of the Wolfram Language
7: Creating Interactive Models with a Single Command
8: Sharing Mathematica Notebooks
9: Finding Help
10: 2D and 3D Graphics
11: Visualizing Data
12: Styling and Customizing Graphics
13: Creating Figures and Diagrams with Graphics Primitives
14: Algebraic Manipulation and Equation Solving
15: Calculus
16: Differential Equations
17: Linear Algebra
18: Probability and Statistics
19: Importing and Exporting Data
20: Data Filtering and Manipulation
21: Working with Curated Data
22: Using WolframlAlpha Data in Mathematica
23: Statistical Functionality for Data Analysis
24: Creating Programs
25: Creating Parallel and GPU Programs
Index
