UBM Tech - Game Network

My Shopping Cart

[ 0 ] items in cart

View Cart | Checkout

Game Developer Research

Research Reports

Gamasutra

Contractor Listings

GDC Vault

Individual Subscription

GDC Audio Recordings

App Developers Conference 2013

GDC Next 2013

GDC Europe 2013

	GDC 2013
	GDC Online 2012
	GDC Europe 2012
	GDC 2012
	GDC 2011
	GDC 10
	GDC 09
	GDC Austin 08
	GDC Mobile 08
	GDC 08
	GDC Austin 07
	GDC Mobile 07
	GDC 07
	GDC 06
	GDC 05
	GDC 04
	GDC 03
	GDC 01
	GDC 2000 & Before

Newest Item(s)

Why Now Is the Best Time Ever to Be a Game Developer

Ingress: Design Principles Behind Google's Massively Multiplayer Geo Game

Playing with 'Game'

Gathering Your Party with Project Eternity (GDC Next 10)

D4: Dawn of the Dreaming Director's Drama (GDC Next 10)

Using Plot Devices to Create Gameplay in Storyteller (GDC Next 10)

How I Learned to Stop Worrying and Love Making CounterSpy (GDC Next 10)

Luck and Skill in Games

Minimalist Game Design for Mobile Devices

Broken Age: Rethinking a Classic Genre for the Modern Era (GDC Next 10)

Storefront > GDC Vault Store - Audio Recordings > More GDC > GDC 2005

View larger image

QTY:

Numerical robustness for geometric calculations
Price	$5.95
Adjustment
Type
Stock	Unlimited
Status
Weight	0 lb, 0 oz
SKU	GDC-05-117
Statistics

Description

Numerical robustness for geometric calculations,
4682

Programming, Lecture

Christer Ericson
Director of Tools and Technology, Sony Computer Entertainment
Geometrical calculations are ubiquitous in games, occurring in rendering, collision detection, physics, animation, and many other game subsystems. The code of such subsystems is robust with respect to its geometrical calculations if it returns consistent results for equivalent inputs and deals with degenerate situations in expected ways. In contrast, non-robust code may fail catastrophically for certain inputs, leading to erratic game behavior or even the game crashing. A primary source of geometrical non-robustness is lack of numerical robustness, caused by the necessity of approximating real numbers with finite precision representations on computers, in particular floating-point arithmetic. However, floating-point arithmetic is a beast much different from real arithmetic! Failure to treat it as such can lead to serious problems, such as objects falling through floors as collision computations fail to register hits correctly. This lecture looks at how to perform robust geometrical calculations to avoid any such problems.

An appreciation of the pitfalls inherent in working with floating-point arithmetic. Tools for addressing the robustness of floating-point based code.

Please leave this field blank.