ndCurveMaster

ndCurveMaster

SigmaLab Tomas Cepowski
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About

Vectorization of raster images is done by converting pixel color information into simple geometric objects. The most common variant is looking over edge detection areas of the same or similar brightness or color, which are then expressed as a graphic primitives like lines, circles and curves. A Raster graphics image is a rectangular grid of pixels, in which each pixel (or point) has an associated color value. Changing the size of the raster image mostly results in loss of apparent quality. Vector graphics are not based on pixels but on primitives such as points, lines, curves which are represented by mathematical expressions. Without a loss in quality vector graphics are easily scale- and rotatable.

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 Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Not Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Individuals looking for a powerful Vector Graphic platform

Audience

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

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$5.09 one-time payment
Free Version Not Supported
Free Trial Not Supported

Pricing

€289
ndCurveMaster WIN/MAC – Web Download
LIFETIME License
Free Version Not Supported
Free Trial Supported

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Vectorizer
www.vectorizer.io

Company Information

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

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Categories

Vector Graphics Supported

Categories

Statistical Analysis Features

Analytics Supported
Association Discovery Not Supported
Compliance Tracking Not Supported
File Management Not Supported
File Storage Not Supported
Forecasting Supported
Multivariate Analysis Supported
Regression Analysis Supported
Statistical Process Control Supported
Statistical Simulation Supported
Survival Analysis Not Supported
Time Series Not Supported
Visualization Supported

Integrations

Pascal Not Supported
Python Not Supported

Integrations

Pascal Supported
Python Supported
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