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What is ndCurveMaster?

ndCurveMaster is an advanced software solution tailored for fitting curves across multiple variables. It seamlessly applies nonlinear equations to datasets that consist of either observed or measured values. This versatile tool accommodates curve and surface fitting across dimensions ranging from 2D to 5D and beyond. Regardless of the complexity or the number of variables, ndCurveMaster is equipped to process any type of data. For instance, it can effectively determine the ideal equations for a dataset featuring six input variables (x1 through x6) and an output variable Y, exemplified by an equation such as Y = a0 - a1 - exp(x1)0.5 + a2 ln(x2)8... + a6 x65.2, which accurately reflects the measured values. Employing machine learning numerical techniques, ndCurveMaster automatically identifies the most appropriate nonlinear regression function for your dataset, revealing the intricate relationships between inputs and outputs. The software supports a variety of curve fitting methods, encompassing linear, polynomial, and nonlinear approaches. Additionally, it incorporates critical validation and goodness-of-fit assessments to ensure precision. It further enhances its capabilities by providing sophisticated evaluations, including the identification of overfitting and multicollinearity through tools like the Variance Inflation Factor (VIF) and the Pearson correlation matrix, making it an invaluable resource for data analysis. Overall, ndCurveMaster stands out as a robust tool for researchers and analysts seeking to understand complex data relationships.

What is InfoAsset Planner?

InfoAsset Planner acts as a comprehensive strategic guide for managing the renewal and replacement of assets, allowing for the anticipation of deterioration and the prioritization of renewal projects within the confines of your capital budget. It adeptly consolidates various sources of inspection data, including NASSCO-certified CCTV assessments, focused electrode leak location (FELL) methods, and acoustic sensor outputs, to influence and refine your strategies for repair and replacement. By evaluating the risk associated with structural failures, it offers the flexibility to prioritize assets according to their current condition and potential repercussions. Employ deterioration models to predict future pipe failures statistically, using components such as failure definitions, sensitivity analyses, cohort models, and regression analyses that address non-linear trends. Create a detailed rehabilitation strategy that empowers decision-making for each asset, firmly grounded in your unique logical framework. Take into consideration elements like condition, risk, and financial constraints, ensuring that the selected actions are prompt, reasonable, and replicable, thus improving the effectiveness of long-term asset management. This method ultimately paves the way for a more organized and forward-thinking approach to maintaining the integrity of infrastructure, highlighting the importance of proactive management in safeguarding public assets. By consistently applying these principles, organizations can enhance their operational efficiency and resilience against future challenges.

Media

Media

Integrations Supported

Pascal
Python

Integrations Supported

API Availability

API Availability

Pricing Information

€289
ndCurveMaster WIN/MAC – Web Download
LIFETIME License
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

SigmaLab Tomas Cepowski

Date Founded

2017

Company Location

Poland

Company Website

www.ndcurvemaster.com

Company Facts

Organization Name

Autodesk Water Infrastructure

Company Location

United States

Company Website

innovyze.com/products/asset-management/infoasset-planner/

Categories and Features

Statistical Analysis

Analytics
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Visualization

Categories and Features

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