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Advanced Ground Truth Multimodal Imaging Using Time Reversal (TR) Based Nonlinear Elastic Wave Spectroscopy (NEWS): Medical Imaging Trends Versus Non-destructive Testing Applications
An innovative pragmatic approach is described using a symbiosis of modern signal processing techniques coming from nonlinear science and multiscale...
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The Magic Ring in Action: Control of Production and Stocks
The control of the warehouse and production processes, typical forms of management control aimed at the processes of production and economic...
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Evidential evolving C-means clustering method based on artificial bee colony algorithm with variable strings and interactive evaluation mode
The Evidential C-Means algorithm provides a global treatment of ambiguity and uncertainty in memberships when partitioning attribute data, but still...
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Preliminaries
Decision-making and looking for the best choice are managerial challenges which may have a great impact on the success or failure of an organization....
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Risk Measures
Minimizing an expectation gives little control of the risk of a reward that is far from the expected value. So, it is useful to design functionals...
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Risk minimization, regret minimization and progressive hedging algorithms
This paper begins with a study on the dual representations of risk and regret measures and their impact on modeling multistage decision making under...
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A primal–dual algorithm for risk minimization
In this paper, we develop an algorithm to efficiently solve risk-averse optimization problems posed in reflexive Banach space. Such problems often...
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Risk and Utility in the Duality Framework of Convex Analysis
Measures of risk have grown in importance in expressing preferences between different manifestations of uncertain cost or loss in finance and...
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General Discussion
Each chapter from 1 to 12 of this book has been respectively discussed. Finally, taken together, the author may be permitted to generally...
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Robust Optimization for MPC
This chapter aims to give a concise overview of numerical methods and algorithms for implementing robust model predictive control (MPC). We introduce...
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Optimization of the Wishart Joint Eigenvalue Probability Density Distribution Based on the Vandermonde Determinant
A number of models from mathematics, physics, probability theory and statistics can be described in terms of Wishart matrices and their eigenvalues....
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Probing and Duality in Stochastic Model Predictive Control
In a general nonlinear setting, stochastic optimal control involves the propagation of the conditional probability density of the state given the...
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Qualitative robustness of set-valued value-at-risk
Risk measures are defined as functionals of the portfolio loss distribution, thus implicitly assuming the knowledge of such a distribution. However,...
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OPTIMIZATION UNDER UNCERTAINTY
We often encounter optimization problems with parameters that are unknown at the time when a solution needs to be obtained. A store doesn’t know the...
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Optimizing placement of the control points at synthesis of the heating process control
Consideration was given to the problem of optimizing the locations of the control points over the object state within the framework of the optimal...
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Solution methods for a min–max facility location problem with regional customers considering closest Euclidean distances
We study a facility location problem where a single facility serves multiple customers each represented by a (possibly non-convex) region in the...
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Theoretical foundation of the weighted laplace inpainting problem
Laplace interpolation is a popular approach in image inpainting using partial differential equations. The classic approach considers the Laplace...
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Underlying Concepts and Technologies
To understand blockchain and distributed ledger solutions, one should also understand the underlying technologies and concepts that make up, or at...
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Dynamic Asset Allocation
Dynamic asset allocation is the mechanism for controlling the timing and quantity of tradable assets such as equities, bonds, currencies and...