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What is Solver SDK?

Easily integrate optimization and simulation models into your desktop, web, or mobile applications by leveraging consistent high-level objects such as Problem, Solver, Variable, and Function, along with their collections, properties, and methods that span multiple programming languages. This consistency is enhanced by a standardized object-oriented API that clients can access remotely through Web Services WS-* standards, catering to languages like PHP, JavaScript, and C#. Moreover, procedural languages can conveniently execute traditional calls that align well with the object-oriented API's properties and methods. The array of optimization techniques offered includes linear and quadratic programming, mixed-integer programming, smooth nonlinear optimization, as well as global optimization and non-smooth evolutionary and tabu search techniques. In addition, you can seamlessly incorporate top-notch optimization tools from Gurobiâ„¢, XPRESSâ„¢, and MOSEKâ„¢ for linear, quadratic, and conic models, as well as KNITROâ„¢, SQP, and GRG methods for addressing nonlinear challenges, all within the Solver SDK framework. The ability to generate a sparse DoubleMatrix object with an impressive scale of 1 million rows and columns simplifies the management of extensive datasets. This adaptability in creating and optimizing complex problems empowers developers to craft solutions that are not only efficient but also finely tuned to the unique requirements of their applications, thereby enhancing overall productivity.

What is NLREG?

NLREG is a sophisticated tool for statistical analysis that excels in both linear and nonlinear regression as well as curve and surface fitting. It effectively determines the most suitable parameter values for user-specified equations, ensuring optimal alignment with a dataset. With the ability to handle a wide range of function types, such as linear, polynomial, exponential, logistic, periodic, and a variety of general nonlinear forms, NLREG is distinctive as it can work with nearly any algebraic function defined by the user. In contrast to many existing nonlinear regression tools that limit users to a narrow set of functions, NLREG provides an extensive array of options. The program features a powerful programming language with a syntax similar to C, empowering users to define the functions they wish to fit while also allowing for the calculation of intermediate variables, conditional statements, and iterative loops. Moreover, NLREG enhances the ease of creating piecewise functions that can change format based on different intervals. The integration of arrays within the NLREG language further supports the implementation of tabular lookup methods to specify functions, thus offering even more flexibility for users in their analytical endeavors. Consequently, NLREG serves as an indispensable resource for statisticians and data analysts who aim to execute intricate fitting tasks effectively. Its comprehensive capabilities make it an essential tool in the field of statistical analysis.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

$2495 one-time payment

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows

Supported Platforms

Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Frontline Systems

Company Website

www.solver.com/solver-sdk-platform

Company Facts

Organization Name

NLREG

Company Website

www.nlreg.com

Categories and Features

IT Risk Management

Not specified

Risk Management

Not specified

Simulation

3D Modeling
Agent-Based Modeling
Industry Specific Database
Monte Carlo Simulation
Presentation Tools
Stochastic Modeling
Turbulence Modeling

Categories and Features

Statistical Analysis

Association Discovery
Compliance Tracking
File Storage
Regression Analysis
Statistical Simulation

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