Multi-objective optimization with Pareto front

Optimization Decisions are made based on preferences. Either it is to minimize the monthly expense for a person living with a tight budget or to maximize the revenue of a restaurant for a business owner, we need to consider our preference or criteria (minimize or maximize) to form a solution....

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Kriging interpolation

In the previous post, we have discussed about how interpolation works in general and reviewed a few commonly used interpolation methods. All these methods only consider the adjacent a few points. This works fine most of the time. However, in reality, data points further away from the interpolation point may...

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Using d3VIEW-Workflows to Build and Launch DOE Simulations

Workflows is d3VIEW’s application for streamlining complex business processes. With its capabilities, we can create and employ automated DOE studies for quicker analysis. Using the application’s new shape worker, *TEXT_PARAMETERIZE_GUI, we can set-up custom parameters for our text-based files, generate sampling points from these parameters, create simulations from the text,...

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Simlytiks Dashboards

d3VIEW’s visualization application Simlytiks® now has a new page layout called Dashboard that allows users to set-up a free-form presentation-styled page using dedicated widgets. Add custom text, images, data filters and aggregators, and Simlytiks charts as well. To better illustrate Simlytiks Dashboard capabilities, we’ll be looking at the Iris Class...

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New Envelope Feature to Aid Material Selection in d3VIEW

d3VIEW supports material calibration and storage of calibrated materials in a scientific database native to d3VIEW. Once materials are stored in the database, d3VIEW supports filters to search and retrieve the materials of choice. Recently, we have been working on supporting visual selection through “Brushing” – a term often used...

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Curve reconstruction procedure for use in Machine Learning

Introduction Given a set of points, we want to construct a curve that shares some specific patterns described by a group of curves. From the description of the problem, there are two pieces of information available to us. First, the points available (Prediction Points) are part of an unknown curve...

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Introduction and Application of d3VIEW-ML

Machine learning is a data analysis technique that builds a model with the data and uses the model to predict. It learns from the data, identifies patterns and produces reliable predictions that help with decision making. As modern computational techniques advance, machine learning becomes more and more popular. There are...

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Interpolation methods for time series data

It is not unusual that due to various limitations, researchers can only collect limited number of samples. Meanwhile, for many analyses, we desire a higher resolution. In two-dimension case, we have X and Y coordinates of our points. We are interested in what happens in between any of the two...

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Battery Cycle Detection using ‘Current’ Time-series Data

Battery data have many interesting properties. One of them is cycles. When we consider the whole range of the data, there are a few of the metrics we are interested in. For example, test net capacity and energy, test cumulative capacity and energy, etc. From these transformed curves, we can...

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