4 products were found matching your search for Shareware in 1 shops:

Outlines the basic and advanced principles involved in creating interactive games, including flight simulators, three-dimensional walk-through games, and various multimedia utilities, with an accompanying CD that includes shareware games and commercial demos. Original. (All Users).

Put fractals to work for you. This book/disk set shows users how to use fractals and teaches the mathematics behind fractal theory. Two disks include the full retail version of Fractal Grafics and the shareware program FRACTINT. Hands-on approach encourages readers to experiment using the fractal images on the disk. Uncovers how fractals are being used in science and imaging work. Ideal for computer users, graphics enthusiasts, and programmers.

This robust CD contains source code from the book as well as examples of OpenGL games in the online game development community. Also included are a variety of tools such as the OpenGL libraries, GLUT, Paint Shop Pro shareware, and sound editing software. This book is a complete guide to game development using the OpenGL graphics API. It also covers how to integrate the non-graphical elements of Microsoft's DirectX into OpenGL games so that users can incorporate sound, music, and network functions. Teaching users how to use OpenGL to create dynamic 3D environments and effects for use in game development.

This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays, linear algebra, univariate, bivariate and multivariate normal distributions, factor methods, linear regression, discrimination and classification, clustering, time series models, and additional methods. Zelterman uses practical examples from diverse disciplines to welcome readers from a variety of academic specialties. Those with backgrounds in statistics will learn new methods while they review more familiar topics. Chapters include exercises, real data sets, and R implementations. The data are interesting, real-world topics, particularly from health and biology-related contexts. As an example of the approach, the text examines a sample from the Behavior Risk Factor Surveillance System, discussing both the shortcomings of the data as well as useful analyses. The text avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary.