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The Linearized Model and Robustness Constraints

A mathematical theory of making hard decisions: model selection and robustness of matrix factorization with binary constraints

A mathematical theory of making hard decisions: model selection and robustness of matrix factorization with binary constraints

... In this work, we explore two directions in order to automatically select the rank of Boolean factorizations: the one is to minimize the description length via a suit- able relaxation as a smooth Kurdyka-Łojasiewicz ...

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Mathematical Model of Leptospirosis: Linearized  Solutions and Stability Analysis

Mathematical Model of Leptospirosis: Linearized Solutions and Stability Analysis

... sir model is used to study the stability analysis, analytical solution and global behavior of the spreading of the ...The model was analysed using the techniques of non-linear dynamical ...

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Designing Optimal Network Topologies with Numerous Robustness and Efficiency Constraints

Designing Optimal Network Topologies with Numerous Robustness and Efficiency Constraints

... SF networks are unsuitable for big traffic flows since a little variety of nodes handling most of the traffic load will cause congestion. Unless the load handling capability of a node is directly proportional to its ...

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Economic Fluctuations and Capitalistic Production: A Case Study in Robustness Constraints

Economic Fluctuations and Capitalistic Production: A Case Study in Robustness Constraints

... We then assume that a small perturbation in the technology parameter induces small perturbations in all the other variables. This allows us to study the linearized system. We then assume investment as a control ...

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Robustness, information-processing constraints, and the current account in small open economies

Robustness, information-processing constraints, and the current account in small open economies

... JEL Classification Numbers: C61, D81, E21. Keywords: Robustness, Rational Inattention, Consumption Smoothing, Current Account, De- tection Error Probabilities. ∗ We thank Charles Engel (the Editor) and two ...

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Robustness, Information-Processing Constraints, and the Current Account in Small Open Economies

Robustness, Information-Processing Constraints, and the Current Account in Small Open Economies

... consumers are endowed with infinite information-processing capacity, allowing them to respond immediately and completely to changes in the economy without making systematic errors. How- ever, individuals in reality do ...

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Robustness, Information- Processing Constraints, and the Current Account in Small Open Economies

Robustness, Information- Processing Constraints, and the Current Account in Small Open Economies

... (ICA) model is based on the standard linear-quadratic permanent income hypothesis (LQ-PIH) model proposed by Hall (1978) under the assumption of rational expectations ...frictions, robustness and ...

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A model-based approach for robustness testing

A model-based approach for robustness testing

... A robustness requirement aims at ensuring that the software will preserve an “acceptable behavior” under non nominal execution conditions. This notion of “acceptable behavior” may not only correspond to safety ...

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Fear of Model Misspecification and the Robustness Premium

Fear of Model Misspecification and the Robustness Premium

... higher robustness premia, when the mitigation of model misspeci…cation de- pends on a low productivity of time relative to human capital, robust choices increase welfare in the ...of model ...

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Semi-Linearized Proximal Alternating Minimization for a Discrete Mumford-Shah Model

Semi-Linearized Proximal Alternating Minimization for a Discrete Mumford-Shah Model

... Mumford–Shah model is a standard model in image segmentation, and due to its dif- ficulty, many approximations have been ...Alternating Linearized Mini- mization (PALM), with convergence ...

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Iterative Resource Allocation Algorithm for EONs Based on a Linearized GN Model

Iterative Resource Allocation Algorithm for EONs Based on a Linearized GN Model

... TR model cannot accurately estimate PLIs, whereas the GN model is incompatible with state of the art linear optimization ...estimation model based on the GN model, referred to as the ...

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On the robustness of emergent constraints used in multimodel climate change projections of Arctic warming

On the robustness of emergent constraints used in multimodel climate change projections of Arctic warming

... historical model runs in multimodel ensembles (MMEs) are increasingly exploited to make more constrained projections of climate ...emergent constraints may be spurious and can arise because of shared ...

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Use of Linearized Versions of Langmuir Model to Study Phosphate Sorption Capacity of Soils
                 

Use of Linearized Versions of Langmuir Model to Study Phosphate Sorption Capacity of Soils  

... Langmuir model is nonlinear, linearized version of it is often used so that model parameters can be obtained by linear ...the linearized versions of Langmuir model are derived from the ...

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Modeling of Nanofiltration for ‎Concentrated Electrolyte Solutions using ‎Linearized Transport Pore Model

Modeling of Nanofiltration for ‎Concentrated Electrolyte Solutions using ‎Linearized Transport Pore Model

... 4.4 Effect of Pore Size Fig. 5 presents the variations of rejection as a function of transmembrane pressure at various pore size values. Based on this figure, the smaller the membrane pores the higher the rejection is ...

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Robustness of equilibrium in the Kyle model of informed speculation

Robustness of equilibrium in the Kyle model of informed speculation

... (1983) model is the standard linear one. The notion of robustness that we establish is a particularly appealing one, as action spaces are continuous, and the strategic interactions in this financial market ...

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A note on robustness in Merton's model of intertemporal consumption

A note on robustness in Merton's model of intertemporal consumption

... described. Robustness leads generally to focusing on worst case scenarios over a re- stricted set of appropriately de ned relevant model misspeci ...of robustness we model asset prices that ...

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Analyzing Contract Robustness through a Model of Commitments

Analyzing Contract Robustness through a Model of Commitments

... Commerce is driven by business contracts. Each party to a business contract must be assured that the contract is robust, in the sense that it fulfills its goals and avoids undesirable outcomes. However, real-life ...

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A Robustness Testing Approach for an Object Oriented Model

A Robustness Testing Approach for an Object Oriented Model

... test model of object oriented (OO) programs for testing conformity and robustness from formal ...a robustness approach based on invalid input data that do not satisfy the precondition constraint of ...

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Linearized Theory of Peridynamic States

Linearized Theory of Peridynamic States

... material model describes internal forces acting on a point in terms of the collective deformation of all the material within a neighborhood of the ...the linearized material response are expressed in terms ...

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Robustness of the BYM model in absence of spatial variation in the residuals

Robustness of the BYM model in absence of spatial variation in the residuals

... BYM model performed well on risks estimations except when the true residuals were resulting from a mixture ...BYM model is the least ...particular model with France mainland as study ...the ...

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