Computer Graphics Programming in OpenGL with Java 2nd Ed (Mercury)
Monday, 26 November 2018

In this new edition, author V. Scott Gordon provides step-by-step instruction on modern 3D graphics shader programming in OpenGL, along with its theoretical foundations. It has been designed in a four-color, “teach-yourself” format with numerous examples that the reader can run just as presented.New sections have been added covering soft shadows, performance optimization, Nsight debugging, as well as updated industry-standard libraries and steps for running the examples on a Macintosh.

 

Author:  V. Scott Gordon
Publisher: Mercury Learning
Date: September 2018
Pages: 406
ISBN: 978-1683922193
Print: 1683922190
Audience: Java developers interested in 3D graphics
Level: Intermediate
Category: Graphics & Games

opengljava

  • Includes new sections on implementing soft shadows, performance optimization, and updated tools such as the JOML math library and the NVIDIA Nsight debugger.
  • Covers modern OpenGL 4.0+ shader programming in Java/JOGL, with instructions for both PC/Windows and Macintosh.
  • Includes step-by-step instruction for every GLSL programmable pipeline stage (vertex, tessellation, geometry, and fragment).

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


Data Structures & Algorithms in Python

Author: Dr. John Canning, Alan Broder and Robert Lafore
Publisher: Addison-Wesley
Date: October 2022
Pages: 928
ISBN:978-0134855684
Print: 013485568X
Kindle: B0B1WJF1K9
Audience: Python developers
Rating: 4
Reviewer: Mike James
Data structures in Python - a good idea!



SQL Server 2022 Query Performance Tuning (Apress)

Author: Grant Fritchey
Publisher: Apress
Pages: 745
ISBN:978-1484288900
Print:1484288904
Kindle:B0BLYD98SQ
Audience: DBAs & SQL Devs
Rating: 4.7
Reviewer: Ian Stirk 

A popular performance tuning book gets updated for SQL Server 2022, how does it fare?


More Reviews