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Supplementary Material: Sequential Exploration of Complex Surfaces Using Minimum Energy Designs
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This article is published in Technometrics.The article was published on 2015-02-01 and is currently open access. It has received 68 citations till now. The article focuses on the topics: Energy (signal processing).read more
Citations
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Space-filling designs for computer experiments: A review
TL;DR: In this article, the quality of a product/process using a computer simulator is a much less expensive option than the real physical testing, however, simulation using computationally intensive computer models is more expensive.
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Support points
Simon Mak,V. Roshan Joseph +1 more
TL;DR: A new way to compact a continuous probability distribution into a set of representative points called support points, obtained by minimizing the energy distance, which can be formulated as a difference-of-convex program, which is manipulated using two algorithms to efficiently generate representative point sets.
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Accelerated process optimization for laser-based additive manufacturing by leveraging similar prior studies
TL;DR: A novel process optimization method is proposed that directly utilizes experimental data from previous studies as the initial experimental data to guide the sequential optimization experiments of the current study, which significantly reduces the number of optimization experiments, compared with conventional optimization methods.
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Approximate Bayesian Inference
TL;DR: This is the Editorial article summarizing the scope of the Special Issue: Approximate Bayesian Inference.
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Optimal Thinning of MCMC Output
Marina Riabiz,Wilson Ye Chen,Jon Cockayne,Pawel Swietach,Steven A. Niederer,Lester Mackey,Chris J. Oates +6 more
TL;DR: A novel method is proposed, based on greedy minimisation of a kernel Stein discrepancy, that is suitable for problems where heavy compression is required and its effectiveness is demonstrated in the challenging context of parameter inference for ordinary differential equations.
References
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Least Squares Quantization in PCM
TL;DR: The corresponding result for any finite number of quanta is derived; that is, necessary conditions are found that the quanta and associated quantization intervals of an optimum finite quantization scheme must satisfy.
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Efficient Global Optimization of Expensive Black-Box Functions
TL;DR: This paper introduces the reader to a response surface methodology that is especially good at modeling the nonlinear, multimodal functions that often occur in engineering and shows how these approximating functions can be used to construct an efficient global optimization algorithm with a credible stopping rule.
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Design and analysis of computer experiments
Sonja Kuhnt,David M. Steinberg +1 more
TL;DR: The included papers present an interesting mixture of recent developments in the field as they cover fundamental research on the design of experiments, models and analysis methods as well as more applied research connected to real-life applications.
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Quantizing for minimum distortion
TL;DR: This paper discusses the problem of the minimization of the distortion of a signal by a quantizer when the number of output levels of the quantizer is fixed and an algorithm is developed to simplify their numerical solution.
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A Taxonomy of Global Optimization Methods Based on Response Surfaces
TL;DR: This paper presents a taxonomy of existing approaches for using response surfaces for global optimization, illustrating each method with a simple numerical example that brings out its advantages and disadvantages.