Essential Java for Scientists and Engineers
by Brian Hahn, Katherine Malan, Katherine M. MalanISBN-10: 0750659912
ISBN-13: 9780750659918
Pub. Date: 04/01/2003
Publisher: Elsevier Science
Essential Java serves as an introduction to the programming language, Java, for scientists and engineers, and can also be used by experienced programmers wishing to learn Java as an additional language. The book focuses on how Java, and object-oriented programming, can be used to solve science and engineering problems.
Many examples are included from a
Overview
Essential Java serves as an introduction to the programming language, Java, for scientists and engineers, and can also be used by experienced programmers wishing to learn Java as an additional language. The book focuses on how Java, and object-oriented programming, can be used to solve science and engineering problems.
Many examples are included from a number of different scientific and engineering areas, as well as from business and everyday life. Pre-written packages of code are provided to help in such areas as input/output, matrix manipulation and scientific graphing.
Java source code and solutions to selected exercises are available at: www.bh.com/companions/0750659912
A free solutions manual is available to lecturers at: http://textbooks.elsevier.com
• Takes a 'dive-in' approach, getting the reader writing and running programs immediately
• Teaches object-oriented programming for problem-solving in engineering and science
• Fully supported with online resources and listings to download
Product Details
- ISBN-13:
- 9780750659918
- Publisher:
- Elsevier Science
- Publication date:
- 04/01/2003
- Edition description:
- New Edition
- Pages:
- 356
- Product dimensions:
- 0.74(w) x 7.44(h) x 9.69(d)
Table of Contents
Preface. PART 1: Essentials; Getting going; Java programming basics; Solving a problem in Java; More on loops; Debugging; Arrays and matrices. PART 2: More advanced topics; Inheritance; Graphical user interfaces (GUIs); Input/output; Exceptions. PART 3: Some applications; Simulation; Modelling with matrices; Introduction to numerical methods. Appendices. Index.
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