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Stochastic Optimization of Floating Point Programs with Tunable Precision
64-bit x86 x86-64, Binary Markov Chain Monte Carlo MCMC Stochastic Search SMT Floating-Point Precision
2016/5/24
The aggressive optimization of floating-point computations is an important problem in high-performance computing. Unfortunately,floating-point instruction sets have complicated semantics that often fo...
Disciplined convex stochastic programming: A new framework for stochastic optimization
Convex stochastic programming modeling mathematics DCSP modeling
2015/8/7
We introduce disciplined convex stochastic programming (DCSP), a modeling framework that can significantly lower the barrier for modelers to specify and solve convex stochastic optimization problems, ...