# [PDF] Top 20 Analysis and optimization methods of graph based meta-models for data flow simulation

Has 10000 "Analysis and optimization methods of graph based meta-models for data flow simulation" found on our website. Below are the top 20 most common "Analysis and optimization methods of graph based meta-models for data flow simulation".

### Analysis and optimization methods of graph based meta-models for data flow simulation

... the **graph** **based** **meta**-**models** elicited from an synchronous **data** **flow** (SDF) model; these cases are used to frame the scope of this ...any **graph** **based** **meta**-model ... See full document

84

### A graph-based factor screening method for synchronous data flow simulation models

... Table A.8: Weighted Random Walks method accuracy by number of randomly sampled input conﬁgurations ( N Samples) for the Serial Queue experimental model and the Cumulative Sys- tem Exits [r] ... See full document

128

### Graph-based methods for unsupervised and semi-supervised data analysis

... in **data** analy- sis with applications in various ...of **data** **analysis**. In this thesis we develop generic **graph**-**based** **methods** for these **data** **analysis** problems both in ... See full document

161

### Optimization of Parallel FDTD Computations Based on Program Macro Data Flow Graph Transformations

... Parallel **Simulation** Speedup for Redeployment, CDC and RCDC ...the **graph** structure, which can cause that the **optimization** time for phase 3 will be much ...the **optimization** after which phase 3 ... See full document

### A review on simulation-based optimization methods applied to building performance analysis

... of **simulation**-**based** **optimization** **methods** in the building ...building **optimization** problems, the performance and selection of **optimization** algorithms, multi-objective ... See full document

30

### The Meta-Model Approach for Simulation-based Design Optimization.

... system-level **simulation**. However, the simulations are carried out by **simulation** tools at the part-level; each tool has a subset of the system design parameters as ...the **simulation** results of ... See full document

155

### Applying Linear Regression and Neural Network Meta-Models for Evolutionary Algorithm Based Simulation Optimization

... statistical **methods** utilized for experimental **optimization** as stated by Joshi et al [1998] in his paper describing an enhanced RSM ...deflection **methods** and restart criteria as opposed to the ... See full document

103

### PROGRAML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations

... ML **methods** cannot replicate even the simplest of the **data** **flow** analy- ses that are critical to making good **optimization** ...formulate **data** **flow** analyses as super- vised learning ... See full document

15

### Graph Based Models for Unsupervised High Dimensional Data Clustering and Network Analysis

... partitioning **methods** that allow the option of either bipartitioning or tripartitioning at each recursive stage ...ity **optimization** by using the leading eigenvectors (associated with the largest eigenvalues) ... See full document

128

### An Evaluation of Calibration Methods for Data Mining Models in Simulation Problems

... that **simulation**-**based** **methods** are better than classical analytical ...that **models** the constraints and the relations between ...exhaustive **analysis** of all of ... See full document

57

### Simulation-based power calculations for planning a two-stage individual participant data meta-analysis

... one-stage **models** utilise both within-trial and across-trial information toward interaction estimates unless covariates are centred, and this would lead to wrongly inflated power estimates, as utilising ... See full document

16

### Investigation of one-stage meta-analysis methods for joint longitudinal and time-to-event data through simulation and real data application

... coverage was poor from joint models for model groups involving study level random effects. Coverage was noticeably lower for model group 0, which ignored between[r] ... See full document

28

### INJECTION MOLDING METHODS DESIGN, ANALYSIS AND SIMULATION OF PLASTIC CUP BY MOLD FLOW ANALYSIS

... analysable **models** as needed for computer **based** process ...Mold **flow** software, used solution for Digital Prototyping, provides injection molding **simulation** tools for use on digital ...and ... See full document

9

### Injection Molding Methods Design, Optimization, Simulation of Plastic Flow Reducer Part by Mold Flow Analysis

... This **analysis** can help predict short ...an **analysis** to make sure these areas will fill out. After **analysis** its found poor quality of part filling for existing condition ,at existing condition melt ... See full document

5

### A framework for simulation-based optimization of business process models

... the **flow** of the business process, while processes in the second category contain critical tasks that may change the workflow, depending on who performs ...or **simulation** to provide an optimal ...and ... See full document

18

### Global convergence rate analysis of unconstrained optimization methods based on probabilistic models

... unconstrained **optimization** **methods**. This scheme is **based** on using random **models**, which are assumed to satisfy some ”quality” conditions with probability at least p, conditioned on the ...this ... See full document

37

### Meta-analysis: methods for quantitative data synthesis

... a **meta**-**analysis** of metoclopramide compared with placebo in reducing pain from acute ...This **graph**, which is also called a forest plot, has been rotated so that the outcome variable is shown along the ... See full document

15

### Data Clustering and Graph-Based Image Matching Methods

... 3.6.5 Noise Test In this section, a noise test is conducted on Caltech1 to compare the clustering **methods** M1NN and DBSCAN. Each time 10 more uniformly distributed nodes are added to the **data** set. Since ... See full document

165

### Safety Design for Simulation Models based on Formal Methods

... ABSTRACT Control theory researchers have been using DEVS **models** to for- malize discrete event systems for a long time. Despite such systems are one of the main targets of Software Engineers, the DEVS for- malism ... See full document

5

### Outlier Mining Methods Based on Graph Structure Analysis

... two **methods** that can be applied to generic datasets, as long as there is a meaningful measure of distance between pairs of elements of the ...Both **methods** start by defining a **graph**, where the nodes ... See full document

11

Related subjects