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1. Introduction to game physics with Box2D [2013]
 Parberry, Ian.
 Boca Raton : CRC Press, ©2013.
 Description
 Book — 1 online resource (xiv, 261 pages) : illustrations Digital: data file.
 Summary

 Read Me First Why Does This Book Exist? Preconditions Postconditions Programming Style Supplementary Material
 I Introduction to Game Physics Mathematics for Game Physics Geometry and Linear Algebra Reflections on Reflection Digital Calculus Relaxation
 A Rigid Body Physics Game The 8Ball Pool End Game Code RunThrough Render World Object World Objects
 A Soft Body Physics Toy Particles Springs Soft Bodies Ragdoll Physics
 II Game Physics with Box2D Getting Started Download and Set Up Box2D Overview of Box2D Units Our First Box2D App
 A Tale of Three Modules The Common Module The Math Library The Collision Module Shapes The Dynamics Module Joints
 The Cannon Game The Platform and the Tower The HeadsUp Display The Object World The Cannon Object The Frame Loop and the Keyboard Handler Son et Lumiere
 The Collision Module Contacts and Manifolds Contact Listeners AABBs Dynamic Trees
 III Appendices For Math Geeks Only
 The Blacke Arte of Program Debugging The Debug printf Zen and the Art of Debugging
 There Are, In Fact, Dumb Questions Lies of Quis Custodiet Ipsos Auditores?
 Bullet Physics Getting Started The Dynamics World Adding Objects Rigid Body Dynamics Motion States Render Frames and Physics Frames
 Bibliography
 Index
 Exercises appear at the end of each chapter.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
2. Circuit complexity and neural networks [1994]
 Parberry, Ian.
 Cambridge, Mass. : MIT Press, ©1994.
 Description
 Book — 1 online resource (xxix, 270 pages) : illustrations
 Summary

 Computers and computation
 the discrete neuron
 the Boolean neuron
 alternating circuits
 small, shallow alternating circuits
 threshold circuits
 cyclic networks
 probabilistic neural networks.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
Neural networks usually work adequately on small problems but can run into trouble when they are scaled up to problems involving large amounts of input data. Circuit Complexity and Neural Networks addresses the important question of how well neural networks scale  that is, how fast the computation time and number of neurons grow as the problem size increases. It surveys recent research in circuit complexity (a robust branch of theoretical computer science) and applies this work to a theoretical understanding of the problem of scalability.
(source: Nielsen Book Data)
3. Circuit complexity and neural networks [1994]
 Parberry, Ian.
 Cambridge, Mass. : MIT Press, c1994.
 Description
 Book — xxix, 270 p. : ill. ; 24 cm.
 Summary

 Computers and computation
 the discrete neuron
 the Boolean neuron
 alternating circuits
 small, shallow alternating circuits
 threshold circuits
 cyclic networks
 probabilistic neural networks.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
SAL3 (offcampus storage)
SAL3 (offcampus storage)  Status 

Stacks  Request (opens in new tab) 
QA76.87 .P38 1994  Available 
4. Parallel complexity theory [1987]
 Parberry, Ian.
 London : Pitman ; New York : Wiley, 1987.
 Description
 Book — 200 p. : ill. ; 25 cm.
 Online
SAL3 (offcampus storage)
SAL3 (offcampus storage)  Status 

Stacks  Request (opens in new tab) 
QA267 .P37 1987  Available 
 Dunn, Fletcher.
 2nd ed.  Boca Raton, FL : A K Peters/CRC Press, ©2011.
 Description
 Book — 1 online resource (xxi, 824 pages) : color illustrations Digital: data file.
 Summary

 Cartesian Coordinate Systems 1D Mathematics 2D Cartesian Space 3D Cartesian Space Odds and ends
 Vectors Vector  mathematical definition and other boring stuff Vector  a geometric definition Specifying vectors using Cartesian coordinates Vectors vs. points Negating a vector Vector multiplication by a scalar Vector addition and subtraction Vector magnitude (length) Unit vectors The distance formula Vector dot product Vector cross product Linear algebra identities
 Multiple Coordinate Spaces Why multiple coordinate spaces? Some useful coordinate spaces Coordinate space transformations Nested coordinate spaces In defense of upright space
 Introduction to Matrices Matrix  a mathematical definition Matrix  a geometric interpretation The bigger picture of linear algebra
 Matrices and Linear Transformations Rotation Scale Orthographic projection Reection Shearing Combining transformations Classes of transformations
 More on Matrices Determinant of a matrix Inverse of a matrix Orthogonal matrices 4 x 4 homogeneous matrices 4 x 4 matrices and perspective projection
 Polar Coordinate Systems 2D Polar Space Why would anybody use Polar coordinates? 3D Polar Space Using polar coordinates to specify vectors
 Rotation in Three Dimensions What exactly is "orientation?" Matrix form Euler angles Axisangle and exponential map representations Quaternions Comparison of methods Converting between representations
 Geometric Primitives Representation techniques Lines and rays Spheres and circles Bounding boxes Planes Triangles Polygons
 Mathematical Topics from 3D Graphics How graphics works Viewing in 3D Coordinate spaces Polygon meshes Texture mapping The standard local lighting model Light sources Skeletal animation Bump mapping The realtime graphics pipeline Some HLSL examples Further reading
 Mechanics 1: Linear Kinematics and Calculus Overview and other expectationreducing remarks Basic quantities and units Average velocity Instantaneous velocity and the derivative Acceleration Motion under constant acceleration Acceleration and the integral Uniform circular motion
 Mechanics 2: Linear and Rotational Dynamics Newton's three laws Some simple force laws Momentum Impulsive forces and collisions Rotational dynamics Realtime rigid body simulators Suggested reading
 Curves in 3D Parametric polynomial curves Polynomial interpolation Hermite curves Bezier curves Subdivision Splines Hermite and Bezier splines Continuity Automatic tangent control
 Afterword What next?
 Appendix A: Geometric Tests Appendix B: Answers to the Exercises
 Bibliography
 Index
 Exercises appear at the end of each chapter.
 (source: Nielsen Book Data)
 Cartesian Coordinate Systems. Vectors. Multiple Coordinate Spaces. Introduction to Matrices. Matrices and Linear Transformations. More on Matrices. Polar Coordinate Systems. Rotation in Three Dimensions. Geometric Primitives. Mathematical Topics from 3D Graphics. Mechanics
 1: Linear Kinematics and Calculus. Mechanics
 2: Linear and Rotational Dynamics. Curves in 3D. Afterword. Appendices. Bibliography. Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
This engaging book presents the essential mathematics needed to describe, simulate, and render a 3D world. Reflecting both academic and inthetrenches practical experience, the authors teach you how to describe objects and their positions, orientations, and trajectories in 3D using mathematics. The text provides an introduction to mathematics for.
(source: Nielsen Book Data)
 Dunn, Fletcher.
 Plano, Tex. : Wordware Pub., c2002.
 Description
 Book — xi, 429 p. : ill. ; 24 cm.
 Online
SAL3 (offcampus storage)
SAL3 (offcampus storage)  Status 

Stacks  Request (opens in new tab) 
T385 .D875 2002  Available 
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