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[PDF] Top 20 Optimization methods applied to Stellar Astrophysics

Has 10000 "Optimization methods applied to Stellar Astrophysics" found on our website. Below are the top 20 most common "Optimization methods applied to Stellar Astrophysics".

Optimization methods applied to Stellar Astrophysics

Optimization methods applied to Stellar Astrophysics

... high-resolution stellar spectrum of the star HD225097, obtained from the ÉLODIE catalogue, available online at ...how stellar spectra are ...looking to the light source, a blackbody spectrum is ... See full document

154

Application of optimization methods to the 2D liquid chromatography

Application of optimization methods to the 2D liquid chromatography

... two methods to solve the problem of background removal: a) fit a certain curve ...polynomial) to be able to subtract this curve from the overall signal; and b) model the baseline as part of an ... See full document

151

Variable Neighborhood Simplex Search Methods for Global Optimization Models

Variable Neighborhood Simplex Search Methods for Global Optimization Models

... family methods with some modifications from the VNS can be applied to engineering optimization problems with continuous design ...engineering optimization literature are used to ... See full document

8

Intelligent optimization methodologies applied to the visualization of virtual environments

Intelligent optimization methodologies applied to the visualization of virtual environments

... metaheuristic, to a given problem instance, is usually able to get fairly good results, there are two main aspects, which may entail significant effort, that have to be considered in order to ... See full document

225

Computer methods for performance optimization in medical imaging networks

Computer methods for performance optimization in medical imaging networks

... analysed to determine which anomalies it ...the applied operations are validated in the Post-Processing and Controlling ...according to the level of user input system ... See full document

162

Introduction to Structural Optimization using the ESO and BESO Evolutionary Methods

Introduction to Structural Optimization using the ESO and BESO Evolutionary Methods

... which applied to optimization can be interpreted as making the structure as stiff as possible, or as light as ...possible. To reach the optimum design, some objectives need to be ... See full document

114

Applying Mathematical Optimization Methods to an ACT-R Instance-Based Learning Model.

Applying Mathematical Optimization Methods to an ACT-R Instance-Based Learning Model.

... interface to connect advanced mathematical tools and methods to empirically supported theories of behavior in psychology, cognitive science, and ...study to analyze central model ... See full document

19

Analysis of Robustness for Convex Optimization Applied to Array Antenna Pattern Synthesis

Analysis of Robustness for Convex Optimization Applied to Array Antenna Pattern Synthesis

... available to provide high data rate communication for an increasing number of cellular subscribers, it is generally expected that the deployment of smart antennas will increase the overall system capacity and ... See full document

6

PERFORMANCE COMPARISON OF SCENARIO-GENERATION METHODS APPLIED TO A STOCHASTIC OPTIMIZATION ASSET-LIABILITY MANAGEMENT MODEL

PERFORMANCE COMPARISON OF SCENARIO-GENERATION METHODS APPLIED TO A STOCHASTIC OPTIMIZATION ASSET-LIABILITY MANAGEMENT MODEL

... way to deal with this problem is to increase the number of nodes in the randomly sampled event ...due to the tree’s exponential growth ...convergence to a correct value as the number of draws ... See full document

20

Statistical Methods and Optimization in Data Mining

Statistical Methods and Optimization in Data Mining

... desirable to partition the data sets according to some similarity ...related to the data mining tech- nique of partitioning data sets into groups of objects with some similar properties (clusters) ... See full document

5

Non-invasive imaging methods applied to neo- and paleo-ontological cephalopod research

Non-invasive imaging methods applied to neo- and paleo-ontological cephalopod research

... alignment optimization, beam-hardening and ring- artifact corrections are included in the reconstruction algo- ...Due to the well-known sampling theorem (Nyquist, Shan- non, Kotelnikov, Whittaker; see Marks ... See full document

19

Optimization algorithms applied to optical transport network

Optimization algorithms applied to optical transport network

... need to send more information through a communication medium or channel is one of the motivating factors for continuous research to develop more efficient communication ...wireless methods were good ... See full document

252

the retail shelf space allocation problem: new optimization methods applied to a supermarket chain

the retail shelf space allocation problem: new optimization methods applied to a supermarket chain

... pushed to the top, although they might include prod- ucts with low ...similar to what is seen in ...hard to grasp in the model as they are linked to the customers’ response to the ... See full document

154

SURROGATE MODELING TECHNIQUES AND HEURISTIC OPTIMIZATION METHODS APPLIED TO DESIGN AND IDENTIFICATION PROBLEMS

SURROGATE MODELING TECHNIQUES AND HEURISTIC OPTIMIZATION METHODS APPLIED TO DESIGN AND IDENTIFICATION PROBLEMS

... heuristic optimization algorithms is vast as ...introduction to this class of algorithm including some of their applications and current research ...multi-objective optimization concepts and ... See full document

89

Portfolio optimization methods, their application and evaluation

Portfolio optimization methods, their application and evaluation

... an optimization method developed by Jack Treynor and Fischer Black (1973), and was originally published in Journal of Business in ...adding to an otherwise most efficient portfolio, the market ...ability ... See full document

86

SIFT applied to CBIR

SIFT applied to CBIR

... Abstract—Content-Based Image Retrieval (CBIR) is a chal- lenging task. Common approaches use only low-level features. Notwithstanding, such CBIR solutions fail on capturing some local features representing the details ... See full document

8

Hybrid simulation-optimization methods: A taxonomy and discussion

Hybrid simulation-optimization methods: A taxonomy and discussion

... used to compute some variables, which will complete or correct the solution generated by ...fed to simulation, which gives more accurate values for these ...SCS to different types of ...plan ... See full document

20

Subpixel Accuracy Analysis of Phase Correlation  Shift Measurement Methods Applied to Satellite  Imagery

Subpixel Accuracy Analysis of Phase Correlation Shift Measurement Methods Applied to Satellite Imagery

... (FFT) to generate the PC, the Dirac is turned into a Dirichlet kernel, whose maximum peak is found at the closest integer dis- placement, so finding the PC peak is equivalent to finding the translation at a ... See full document

5

Heuristic methods applied in reference evapotranspiration modeling

Heuristic methods applied in reference evapotranspiration modeling

... related to sustainable water ...was to model and compare the reference evapotranspiration from different heuristic ...however, to evaluate the heuristic methodologies with scarce data, two widely ... See full document

11

TBA test applied to meats and their products: traditional, modified and alternative methods.

TBA test applied to meats and their products: traditional, modified and alternative methods.

... TEST APPLIED TO MEATS AND THEIR PRODUCTS: TRADITIONAL, MODIFIED AND ALTERNATIVE ...essential to quality control of fat-containing food, being the test most applied to evaluate lipid ... See full document

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