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What is Maple Calculator?

Maple Calculator is a powerful and free math-solving app that delivers users accurate answers, detailed visualizations in both 2D and 3D, and thorough step-by-step solutions! From simple arithmetic to complex university-level problems, Maple Calculator is designed to tackle any mathematical challenge. Users can easily enter handwritten or typed math questions through cutting-edge AI technology that captures them with a quick camera click. Alternatively, expressions can be input using the same mathematical symbols and notations taught by instructors, making the entire process more intuitive. No matter your preferred method of input, the app allows for the computation of integrals, polynomial factoring, matrix inversion, and solving systems of equations, among many other mathematical tasks. With the renowned Maple math engine powering its features, the app offers outstanding computational prowess. Moreover, in addition to providing solutions, it includes detailed step-by-step explanations for a wide variety of mathematical problems, such as solving systems of equations, limits, derivatives, and integrals, which fosters a deeper understanding of the material. Ultimately, the app not only assists in finding answers but also significantly enriches your overall mathematics learning journey. By using Maple Calculator, students can build their confidence and enhance their problem-solving skills effectively.

What is Artelys Knitro?

Artelys Knitro is recognized as an exceptional solver specifically designed for complex nonlinear optimization problems, offering a wide range of advanced algorithms and features to address challenging issues across various industries. The solver includes four state-of-the-art algorithms: two interior-point/barrier methods and two active-set/sequential quadratic programming methods, ensuring effective and dependable solutions to a multitude of optimization challenges. In addition, Knitro encompasses three unique algorithms focused on mixed-integer nonlinear programming, which employ heuristics, cutting planes, and branching strategies to effectively handle discrete variables. A key highlight of the solver is its parallel multi-start functionality, which aids in achieving global optimization, alongside automated and parallel tuning of options that optimize performance. Intelligent initialization techniques are also integrated, enabling prompt detection of infeasibility in complex scenarios. Knitro's versatility is further enhanced by its compatibility with various interfaces, including object-oriented APIs for popular programming languages such as C++, C#, Java, and Python, making it readily accessible for developers. In essence, the development of Knitro underscores a dedication to delivering robust solutions tailored to the intricacies of contemporary optimization challenges, while constantly evolving to meet the demands of its users.

Media

Media

Integrations Supported

AIMMS
AMPL
C#
C++
GAMS
Java
Julia
MATLAB
Microsoft Excel
Python
R

Integrations Supported

AIMMS
AMPL
C#
C++
GAMS
Java
Julia
MATLAB
Microsoft Excel
Python
R

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

MapleSoft

Company Location

Canada

Company Website

www.maplesoft.com/products/MapleCalculator/

Company Facts

Organization Name

Artelys

Date Founded

2000

Company Location

France

Company Website

www.artelys.com/solvers/knitro/

Categories and Features

Categories and Features

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