SimplexLP 4+

Linear optimization made easy‪!‬

Axel Besser

Designed for iPad

    • ₹ 399

Screenshots

Description

SimplexLP solves linear optimization problems, which can be mathematically described with an objective function and a set of constraints.

With the new graphical representation (possible with 2 variables only) it is a lot easier to understand the theoretical concept of linear optimization!

SimplexLP is the perfect learning companion for teachers (to set up problems) and students (to learn the Simplex algorithm). It is very easy to change coefficients and see how the solution varies.

For the calculation the famous Simplex algorithm is used.

With SimplexLP you can:
– easily set up the objective function and the constraints;
– solve maximization and minimization problems;
– solve problems with unlimited number of variables and constraints;
– solve problems with ≤, ≥ and = (in)equalities;
– get all the possible solutions ("edges") to a problem;
– get accurate calculations with fractions;
– get your output in fractions or decimal values;
– set a fixed value in the objective function, e.g. for fixed costs;
– set the tab width (via a simple swipe gesture) to format the tableaus;
– get a graphical representation of optimization problems with 2 variables.

With SimplexLP linear optimization really makes fun!

What’s New

Version 2.3

iOS 17 compatibility update

App Privacy

The developer, Axel Besser, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Collected

The developer does not collect any data from this app.

Privacy practices may vary based on, for example, the features you use or your age. Learn More

Supports

  • Family Sharing

    Up to six family members can use this app with Family Sharing enabled.

You Might Also Like

iSolveModel
Education
Simplex Optima
Education
Tutorial for Python
Reference
OughtWe Pro
Education
Learn Machine Learning [PRO]
Education
Solid Engineer
Education