Invention Grant
- Patent Title: Approximate error conjugation gradient minimization methods
- Patent Title (中): 近似误差共轭梯度最小化方法
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Application No.: US12795560Application Date: 2010-06-07
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Publication No.: US08447565B2Publication Date: 2013-05-21
- Inventor: Jeffrey S. Kallman
- Applicant: Jeffrey S. Kallman
- Applicant Address: US CA Livermore
- Assignee: Lawrence Livermore National Security, LLC
- Current Assignee: Lawrence Livermore National Security, LLC
- Current Assignee Address: US CA Livermore
- Agent Dominic M. Kotab
- Main IPC: G06F15/00
- IPC: G06F15/00 ; G03C5/16

Abstract:
In one embodiment, a method includes selecting a subset of rays from a set of all rays to use in an error calculation for a constrained conjugate gradient minimization problem, calculating an approximate error using the subset of rays, and calculating a minimum in a conjugate gradient direction based on the approximate error. In another embodiment, a system includes a processor for executing logic, logic for selecting a subset of rays from a set of all rays to use in an error calculation for a constrained conjugate gradient minimization problem, logic for calculating an approximate error using the subset of rays, and logic for calculating a minimum in a conjugate gradient direction based on the approximate error. In other embodiments, computer program products, methods, and systems are described capable of using approximate error in constrained conjugate gradient minimization problems.
Public/Granted literature
- US20110302463A1 APPROXIMATE ERROR CONJUGATION GRADIENT MINIMIZATION METHODS Public/Granted day:2011-12-08
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