A Numerical Library in Java for Scientists and Engineers
by Hang T. Lau, Lau T. LauView All Available Formats & Editions
At last researchers have an inexpensive library of Java-based numeric procedures for use in scientific computation. The first and only book of its kind, A Numeric Library in Java for Scientists and Engineers is a translation into Java of the library NUMAL (NUMerical procedures in ALgol 60).
This groundbreaking text presents procedural descriptions for linear
Overview
At last researchers have an inexpensive library of Java-based numeric procedures for use in scientific computation. The first and only book of its kind, A Numeric Library in Java for Scientists and Engineers is a translation into Java of the library NUMAL (NUMerical procedures in ALgol 60).
This groundbreaking text presents procedural descriptions for linear algebra, ordinary and partial differential equations, optimization, parameter estimation, mathematical physics, and other tools that are indispensable to any dynamic research group.
The book offers test programs that allow researchers to execute the examples provided; users are free to construct their own tests and apply the numeric procedures to them in order to observe a successful computation or simulate failure. The entry for each procedure is logically presented, with name, usage parameters, and Java code included.
This handbook serves as a powerful research tool, enabling the performance of critical computations in Java. It stands as a cost-efficient alternative to expensive commercial software package of procedural components.
Product Details
- ISBN-13:
- 9781584884309
- Publisher:
- Taylor & Francis
- Publication date:
- 09/01/2003
- Pages:
- 1088
- Product dimensions:
- 6.90(w) x 10.10(h) x 2.40(d)
Customer Reviews
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Most Helpful Customer Reviews
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The book contains the source code of a comprehensive numerical library in Java. The library can be used as a black box to solve numerical problems in linear algebra, the numerical solution of ordinary and partial differential equations, optimization, parameter estimation and special functions of mathematical physics.
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The library covers a very broad range of numerical topics. With the source code available from the book, I can learn by modifying and experimenting with them.
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