UIST: Proceedings of the ACM Symposium on User Interface Software and Technology, Volume 14,Parte 2001Association for Computing Machinery, 2001 |
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Página 93
... error function of the j - th constraint ( 1 ≤ j ≤ mi ) at strength level i ( 0 ≤ i ≤ 1 ) ; then solutions v are determined with the following optimization problem : minimize E ( v ) ν subject to eo ,; ( v ) = 0 ( 1 ≤ j ≤ mo ) ...
... error function of the j - th constraint ( 1 ≤ j ≤ mi ) at strength level i ( 0 ≤ i ≤ 1 ) ; then solutions v are determined with the following optimization problem : minimize E ( v ) ν subject to eo ,; ( v ) = 0 ( 1 ≤ j ≤ mo ) ...
Página 94
... functions as error functions in our frame- work ; that is , instead of individually minimizing an error function for each constraint , we minimize a single " aggre- gate " error function for all graph layout constraints . Now we present ...
... functions as error functions in our frame- work ; that is , instead of individually minimizing an error function for each constraint , we minimize a single " aggre- gate " error function for all graph layout constraints . Now we present ...
Página 96
... error functions and gradients respectively . Arithmetic constraints . Class ArithmeticConstraint implements arithmetic constraints by specifying an error function e ( x ) and its gradient Ve ( x ) as methods evalu- ate ( ) and gradient ...
... error functions and gradients respectively . Arithmetic constraints . Class ArithmeticConstraint implements arithmetic constraints by specifying an error function e ( x ) and its gradient Ve ( x ) as methods evalu- ate ( ) and gradient ...
Índice
Dynamic Coupling of Displays | 11 |
Off the Wall | 21 |
Information Visualization | 40 |
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