Aspen Unscrambler

Aspen Unscrambler

Aspen Technology
ndCurveMaster

ndCurveMaster

SigmaLab Tomas Cepowski
+
+

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About

Industry-leading tool for modeling, prediction and optimization using multivariate statistical analysis and interactive visualizations. Develop products faster, improve quality and optimize processes by analyzing large, data sets easier than ever. Get faster, better answers to real-world problems by analyzing all types of data to optimize product development, quality and manufacturing processes. Leverage multivariate statistical analysis methods with unique capabilities for spectroscopy and chemometrics. Import material, sensor, process and spectral data in all the formats you need with features for easy plotting, preprocessing and modeling of spectral data. Provides better classification of products to deliver consistent product quality. Work smarter and streamline all phases of the analytical process with project-based workflows. Leverage compliance mode, digital signatures, passwords and audit trails to remain compliant with 21 CFR Part 11, EU Annex 11 and other regulations.

About

ndCurveMaster is a specialized software designed for multivariable curve fitting. It automatically applies nonlinear regression equations to your datasets, which can consist of observed or measured values. The software supports curve and surface fitting in 2D, 3D, 4D, 5D, ..., nD dimensions. This means that no matter how complex your data is or how many variables it has, ndCurveMaster can handle it with ease. For example, ndCurveMaster can efficiently derive an optimal equation for a dataset with six inputs (x1 to x6) and an output Y, such as: Y = a0 + a1 · exp(x1)^-0.5 + a2 · ln(x2)^8 + ... + a6 · x6^5.2, to accurately match measured values. Utilizing machine learning numerical methods, ndCurveMaster automatically fits the most suitable nonlinear regression functions to your dataset and discovers the relationships between the inputs and output. This robust tool offers linear, polynomial, and nonlinear curve fitting, utilizes crucial validation and goodness-of-fit tests.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies interested in a powerful tool for modeling, prediction and optimization using multivariate statistical analysis and interactive visualizations

Audience

Scientists from all fields conducting measurements, engineers, economists, students

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

€289
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Aspen Technology
Founded: 1981
United States
www.aspentech.com/en/products/msc/aspen-unscrambler

Company Information

SigmaLab Tomas Cepowski
Founded: 2017
Poland
www.ndcurvemaster.com

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Categories

Categories

Statistical Analysis Features

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Statistical Analysis Features

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Integrations

Pascal
Python

Integrations

Pascal
Python
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