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LINDO
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<h2 id="features">Features</h2> <ul><li>LINDO provides routines to formulate, solve, query, and modify <a href="/facts/Mathematical_optimization/oRn8Iv5I">optimization</a> problems.</li></ul> <ul><li>It works with programming languages including <a href="/facts/C_(programming_language)/Ky2No763">C</a>, <a href="/facts/C%2B%2B/Et0F2qn9">C++</a>, <a href="/facts/Java_(programming_language)/9ScgFyAL">Java</a>, <a href="/facts/Visual_Basic_(classic)/7QMXM6fP">Visual Basic</a>, <a href="/facts/.NET_Framework/J6QDAUhP">.NET</a>, <a href="/facts/Delphi_(software)/sUFUXQ8r">Delphi</a>, <a href="/facts/Python_(programming_language)/YbuGqofa">Python</a>, and <a href="/facts/R_(programming_language)/LSrkr8K8">R</a>.</li></ul> <ul><li>Coupled with R’s extensive statistical and data-mining tools, the LINDO API's R interface offers seamless possibilities in statistical analysis and optimization.</li> <li>LINDO solvers can also be called from <a href="/facts/MATLAB/qPjLISCk">MATLAB</a>. </li> <li>The LINDO package contains Stochastic, Linear, Nonlinear (convex & nonconvex/Global), Quadratic, Quadratically Constrained, Second Order Cone and Integer solvers.</li> <li>It provides tools for analysis of infeasible linear, integer and nonlinear models.</li> <li>LINDO supports Multiple Objective Optimization. For linear models, users can provide a prioritized list of objective functions, and LINDO will perform Lexico/Pre-emptive priority optimization.</li> <li>The Multi-Start NLP Solver in LINDO makes it possible for users to specify a target value for the objective function. As soon as any multi-start thread achieves a specified target all threads stop.</li> <li>With the release of LINDO API 7.0, LINDO <a href="/facts/Stochastic/uMbgL94r">stochastic</a> functionality allows users to incorporate uncertainty into their models.</li> <li>In 2012, LINDO brings multicore processors support to increase solve speed.</li></ul> <h2 id="external-links">External links</h2> <ul><li>Official website <a href="http://www.lindo.com/">[1]</a></li></ul> <h2 id="references">References</h2> <ol> <li id="fn:1"><p>Linus E. Schrage, Linear, Integer, and Quadratic Programming with Lindo, Scientific Press, 1986, ISBN 0894260901 <a href="/wiki/ISBN_(identifier)" target="_blank">/wiki/ISBN_(identifier)</a> <a href="#fnref:1" class="footnote-back-ref">↩</a></p></li> <li id="fn:2"><p>Tulett, David M.; Ke, Ginger Y. (December 2022). "Using LINGO for Business Students". Operations Research Forum. 4 (1). Springer Science and Business Media LLC. doi:10.1007/s43069-022-00184-2. <a href="/wiki/Doi_(identifier)" target="_blank">/wiki/Doi_(identifier)</a> <a href="#fnref:2" class="footnote-back-ref">↩</a></p></li> <li id="fn:3"><p>Cunningham, Kevin; Schrage, Linus (2004). "The LINGO Algebraic Modeling Language". Modeling Languages in Mathematical Optimization. Springer. pp. 159–171. doi:10.1007/978-1-4613-0215-5_9. ISBN 9781461302155. <a href="9781461302155" target="_blank">9781461302155</a> <a href="#fnref:3" class="footnote-back-ref">↩</a></p></li> <li id="fn:4"><p>Nash, John C. (1991-04-16). "Optimizing Add-Ins: The Educated Guess, What'sBest!". PC Magazine. Vol. 10, no. 7. Ziff Davis. pp. 130, 132. ISSN 0888-8507. <a href="/wiki/ISSN_(identifier)" target="_blank">/wiki/ISSN_(identifier)</a> <a href="#fnref:4" class="footnote-back-ref">↩</a></p></li> <li id="fn:5"><p>Arnett, Nick (1988-08-29). "Spreadsheet Optimizer Ported to Macintosh". InfoWorld. Vol. 10, no. 35. IDG. p. 24. ISSN 0199-6649. <a href="/wiki/ISSN_(identifier)" target="_blank">/wiki/ISSN_(identifier)</a> <a href="#fnref:5" class="footnote-back-ref">↩</a></p></li> </ol>