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Problems with the Model

Model tracking for risk problems

Model tracking for risk problems

... of Model Tracking or Detection problems as we are interested in tracking (or detecting) the most appropriate model for describing the proposed risk model, see, for example, Poor [5] and Snyder ...

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On a Logical Model of Combinatorial Problems

On a Logical Model of Combinatorial Problems

... combinatorial model allows considering not only the well-known combinatorial problems, but al- so considering new problems such as “Heavy tuple” with single point of ...proposed model is to ...

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Tests and Problems of the Standard Model in Cosmology

Tests and Problems of the Standard Model in Cosmology

... and Problems of the Standard Model in Cosmology Mart´ ın L´ opez-Corredoira Abstract The main foundations of the standard ΛCDM model of cosmology are that: 1) The redshifts of the galaxies are due to ...

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Some Problems on Black Litterman Model.

Some Problems on Black Litterman Model.

... optimization problems under CVaR and we have established the convergence ...optimization problems of Black-Litterman type with ...to model the assets market returns under a mixed bull and bear ...

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Model Order Reduction: Application to Electromagnetic Problems

Model Order Reduction: Application to Electromagnetic Problems

... nonlinear problems—requiring supplementary reductions consider- ...to model order reduction, the differentiation between online and offline phases is explained in section ...the model order reduction ...

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On the complexity of some computational problems in the Turing model

On the complexity of some computational problems in the Turing model

... quasi-optimal result on the simulation of successor RAMs by multitape Tur- ing machines is known, and indeed it seems to be a difficult problem to obtain such a result. In this work we show that nonetheless up to ...

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The Incentive Problems with the All-or-Nothing Crowdfunding Model

The Incentive Problems with the All-or-Nothing Crowdfunding Model

... all-or-nothing model from all three sides: the platform’s incentives to investigate, the campaign creator’s incentives to provide information, and the crowd’s incentives to invest ...two problems: The ...

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Algorithms for solving statistical model selection problems

Algorithms for solving statistical model selection problems

... Parallel algorithms to compute all possible subset regression models are designed, implemented and analyzed. A branch-and-bound strategy that computes the best-subset regression models corre- sponding to each number of ...

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Model reduction of nonlinear problems in structural mechanics

Model reduction of nonlinear problems in structural mechanics

... industrial problems - except in rare cases - the nonlinearity is not explicitly known or can not be computed in the reduced ...Obviously, model reduction by POD is only helpful and sensible when most of the ...

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New MAXCAP Related Problems: Formulation and Model Solutions: A class of competitive location problems

New MAXCAP Related Problems: Formulation and Model Solutions: A class of competitive location problems

... American University of Sharjah, Sharjah, United Arab Emirates. Abstract In this paper three related problems of the maximum capture (MAXCAP) model are proposed. These include the case where facilities ...

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The 3C3R Model: A Conceptual Framework for Designing Problems in PBL

The 3C3R Model: A Conceptual Framework for Designing Problems in PBL

... design problems in ...of problems was the most challenging task in design- ing a PBL ...design model as a conceptual framework for designing more effective, precise, and reliable PBL ...

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Applying Model Management to Classical Meta Data Problems

Applying Model Management to Classical Meta Data Problems

... Abstract Model management is a new approach to meta data management that offers a higher level programming interface than current ...management problems: schema integra- tion, schema evolution, and ...

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Multiscale Model Reduction for High-contrast Flow Problems

Multiscale Model Reduction for High-contrast Flow Problems

... system of equations that is similar in nature to the fine-scale system. As such, the ease of implementation, classical FEM analogues, and well understood structure make CG a tractable method for coupling the coarse basis ...

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Application of Simulation Model for Distributed Scheduling Problems in FMS

Application of Simulation Model for Distributed Scheduling Problems in FMS

... scheduling model for the multi-plant. The objective of the model is to decide the schedules for minimizing makespan and operation sequences with machine selections considering precedence constraints, ...

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A New Model Updating Method for Quadratic Eigenvalue Problems

A New Model Updating Method for Quadratic Eigenvalue Problems

... New Model Updating Method for Quadratic Eigenvalue Problems Yueh-Cheng Kuo ∗ Wen-Wei Lin † Shufang Xu ‡ Abstract —In this paper, we consider two finite ele- ment model updating problem which ...

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Fuzzy Matrix Model for Analyzing Problems in Agriculture Sector

Fuzzy Matrix Model for Analyzing Problems in Agriculture Sector

... marketing problems faced by Alphonso mango cultivators, since large numbers of investors are involving themselves in this ...various problems encountered by the mango cultivators and to establish the ...

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Two Optimization Problems of a Continuous in Time Financial Model

Two Optimization Problems of a Continuous in Time Financial Model

... DOI: 10.4236/jmf.2018.81003 41 Journal of Mathematical Finance Figure 8. Second optimization problem (O2) applied to the model of Example 2. one which is introduced in Section 3 consists in finding a loan scheme ...

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Universal Turing Machine: A Model for all Computational Problems

Universal Turing Machine: A Model for all Computational Problems

... Turing machines are equivalent to algorithms, and are the theoretical basis for modern computers. Yet it is often very difficult to create and maintain Turing machines for all problems. Doing this will consume a ...

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An Integer Coding Based Optimization Model for Queen Problems

An Integer Coding Based Optimization Model for Queen Problems

... Queen problems are unstructured problems, whose solution scheme can be applied in the actual job ...queen problems are firstly converted into the problem of function optimization with constraints, ...

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Energy Based Multi-Model Fitting and Matching Problems

Energy Based Multi-Model Fitting and Matching Problems

... 1.3. Thesis Overview 15 models. This strong assumption requires a pre-processing data analysis step that prunes the set of initially sampled models leaving only a relatively small set of good candidates. One of the main ...

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