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Input optimization: I. Optimal realizations of mathematical models
Mathematical Programming, 1985Input optimization is a conceptually new level of optimization, at which the mathematical programming model, rather than a usual program, is optimized. This is achieved by optimizing the optimal value function by stable perturbations of the parameters considered as ''input''.
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Mathematically Optimizing Water Management
Critical Transitions in Water and Environmental Resources Management, 2004Software for formally optimizing groundwater and conjunctive water management has improved dramatically in recent years. Historically utilized have been a range of classical and heuristic optimization methods, and of simulator and surrogate simulator techniques.
Peralta, Richard C., Kalwij, I. M.
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Some Mathematical Optimization Techniques
1990This chapter addresses certain mathematical optimization techniques that have been applied to distributed parameter models. We discuss variational calculus, dynamic programming, Pontryagin’s maximum principle and the minimum norm problems of functional analysis.
G. S. Christensen +2 more
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Methods of Mathematical Optimization
1989Numerical optimization methods offer a surprisingly advanced design methodology for application to engineering design. The concepts are not particularly difficult, it is only that they are unfamiliar to most practicing engineers. The purpose here is to outline the general methods of numerical optimization and to identify areas where these techniques ...
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Machine Learning for Large-Scale Optimization in 6G Wireless Networks
IEEE Communications Surveys and Tutorials, 2023Lian, Lixiang, Yuanming Shi, Zixin wang
exaly