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Interior Point Methods on GPU with application to Model Predictive Control
Nicolai Fog Gade-Nielsen
Department of Applied Mathematics and Computer Science
Scientific Computing
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Ph.D. thesis
2591
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Dive into the research topics of 'Interior Point Methods on GPU with application to Model Predictive Control'. Together they form a unique fingerprint.
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Computer Science
Predictive Model
100%
Interior-Point Method
100%
Processing Unit
100%
Application
100%
Control
100%
Optimization Problem
27%
Matrix Operation
27%
Simplex
18%
Algorithms
9%
Software Package
9%
Memory Bandwidth
9%
Linear System
9%
Factorization
9%
Floating-Point Operation
9%
Primal-Dual
9%
Cholesky Factorization
9%
Multicore Processor
9%
Polynomial Complexity
9%
Multiple Component
9%
Hessian Matrix
9%
Conjugate Gradients
9%
Underlying Architecture
9%
Normal Equation
9%
Computational Task
9%
Standards
9%
Iterations
9%
Computer
9%
Mathematical Optimization
9%
Models
9%