Description
Symbolic computation is an essential technique for executing simple to complex mathematical analysis and modeling, not only for scientific and engineering simulations but also for financial calculations. There are plenty of computational tools are available for numerical analysis, but few packages are existing for symbolic computations such as Mathematica, Maple and Matlab are exceptionally powerful tools for symbolic computations, but having huge price tags. Maxima is an open source freeware program. It has user -friendly interface with ample built-in math analytical tools and graphical functions. It can be easily installed in most of the operating systems and proficient in executing both symbolic as well as numerical computations. Maxima has rich mathematical functions and hence has a steep learning curve. But this book is written in a simple style, as a beginner's guide and outlines the basic functions with appropriate examples that are easy to understand.
Tagline
An alternate to Mathematica, MATLAB and Maple
Key Features
Cell structure, Annotations, LaTex, MathMl format, File format
Basic operators, functions
Who this book is for
IT professionals, undergraduate and postgraduate engineering students, researchers
Tagline
An alternate to Mathematica, MATLAB and Maple
Key Features
- Book deals with the most basic algorithms in the area.
- Book presents several of the most celebrated algorithms in a simple way by omitting obscuring details and separating algorithmic structure from combinatorial theoretical background.
- It reflects the relationships between applications of text-algorithmic techniques. Classification of algorithms according to the measures of complexity considered. Functions written in an easy and reader-friendly way. About two hundred examples illustrate nicely the behaviour of very complex algorithms.
Cell structure, Annotations, LaTex, MathMl format, File format
Basic operators, functions
Who this book is for
IT professionals, undergraduate and postgraduate engineering students, researchers