LINGO

Loads the data and solves linear, nonlinear, and integer optimization models
Sep 12, 2024
Rating:
3.8 on 96 votes
Category:
EducationScience Tools
Developer:
LINDO Systems
License:
Shareware $495
Total downloads:
39,947 (94 last week)
Operating system:
Windows XP/XP Professional/Vista/7/8/10/11
Latest version:
20.0.1.12

Description

Create your own or load the data for the linear, nonlinear, and integer optimization models. The built-in engine will provide powerful language for expressing optimization models and a full-featured environment for building and editing problems, plus a set of fast built-in problem solvers.

Download LINGO 20.0.1.12 from our software library for free. Also the software is known as "Lingo versie", "Lingo 2007 SE", "Lingo 2". The following versions: 18.0, 17.0 and 15.0 are the most frequently downloaded ones by the program users. The software is categorized as Education Tools.

LINGO can be installed on 32-bit and 64-bit versions of Windows XP/XP Professional/Vista/7/8/10/11. Lingo11.exe, Lingo13.exe, Lingo64_14.exe, Lingo.exe or Lingo64_18.exe are the default file names to indicate the LINGO installer. This tool was originally created by LINDO Systems. Our built-in antivirus scanned this download and rated it as 100% safe. This PC program operates ".lng", ".ldt" and ".ltx" files. The size of the latest setup package available is 92.1 MB.

From the developer:

LINGO is designed to build and solve Linear, Nonlinear, Quadratic, Quadratically Constrained, Second Order Cone, Semi-Definite, Stochastic, and Integer optimization models. LINGO's modeling language allows you to express models in a straightforward intuitive manner using summations and subscripted variables.

You may want to check out more software, such as Lingoes, MadCap Lingo or GlobalEnglish LinGo, which might be related to LINGO.

Comments

S
Susan Hunter
Last year
I watch Lingo on television and I love it! I love all word games!
S
Shinta
7 years ago
Lindo is free (open source) or not?
T
Tamiru Paulos Orkodjo
8 years ago
Thank you for this optimization model.

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