LINDO
LINDO Systems - Optimization Software: Integer Programming, Linear Programming, Nonlinear Programming, Stochastic Programming, Global Optimization LINDO Application Programming Interface (LINDO API)
Keywords for this software
References in zbMATH (referenced in 535 articles )
Showing results 1 to 20 of 535.
Sorted by year (- Chen, Liang-Hsuan; Nien, Sheng-Hsing: Mathematical programming approach to formulate intuitionistic fuzzy regression model based on least absolute deviations (2020)
- Colapinto, Cinzia; Jayaraman, Raja; La Torre, Davide: Goal programming models for managerial strategic decision making (2020)
- Del Pia, Alberto; Khajavirad, Aida; Sahinidis, Nikolaos V.: On the impact of running intersection inequalities for globally solving polynomial optimization problems (2020)
- Hocine, Amin; Zhuang, Zheng-Yun; Kouaissah, Noureddine; Li, Der-Chiang: Weighted-additive fuzzy multi-choice goal programming (WA-FMCGP) for supporting renewable energy site selection decisions (2020)
- Muts, Pavlo; Nowak, Ivo; Hendrix, Eligius M. T.: The decomposition-based outer approximation algorithm for convex mixed-integer nonlinear programming (2020)
- Zhang, Yi; Sahinidis, Nikolaos V.; Nohra, Carlos; Rong, Gang: Optimality-based domain reduction for inequality-constrained NLP and MINLP problems (2020)
- Chang, Jiyoun C.; Graves, Stephen C.; Kirchain, Randolph E.; Olivetti, Elsa A.: Integrated planning for design and production in two-stage recycling operations (2019)
- Furini, Fabio; Traversi, Emiliano; Belotti, Pietro; Frangioni, Antonio; Gleixner, Ambros; Gould, Nick; Liberti, Leo; Lodi, Andrea; Misener, Ruth; Mittelmann, Hans; Sahinidis, Nikolaos V.; Vigerske, Stefan; Wiegele, Angelika: QPLIB: a library of quadratic programming instances (2019)
- Kallrath, Josef; Frey, Markus M.: Packing circles into perimeter-minimizing convex hulls (2019)
- Najman, Jaromił; Mitsos, Alexander: Tighter McCormick relaxations through subgradient propagation (2019)
- Nowak, Ivo; Muts, Pavlo; Hendrix, Eligius M. T.: Multi-tree decomposition methods for large-scale mixed integer nonlinear optimization (2019)
- Sandıkçı, Burhaneddin; Özaltın, Osman Y.: An embarrassingly parallel method for large-scale stochastic programs (2019)
- Schmidt, Martin; Sirvent, Mathias; Wollner, Winnifried: A decomposition method for MINLPs with Lipschitz continuous nonlinearities (2019)
- Sitek, Pawel; Wikarek, Jarosław: Capacitated vehicle routing problem with pick-up and alternative delivery (CVRPPAD): model and implementation using hybrid approach (2019)
- Wang, Tong; Lima, Ricardo M.; Giraldi, Loïc; Knio, Omar M.: Trajectory planning for autonomous underwater vehicles in the presence of obstacles and a nonlinear flow field using mixed integer nonlinear programming (2019)
- Yu, Jing-Rung; Chiou, Wan-Jiun Paul; Lee, Wen-Yi; Chuang, Tsao-Yuan: Realized performance of robust portfolios: worst-case Omega vs. CVaR-related models (2019)
- Cozad, Alison; Sahinidis, Nikolaos V.: A global MINLP approach to symbolic regression (2018)
- Gergel, Victor; Barkalov, Konstantin; Sysoyev, Alexander: Globalizer: a novel supercomputer software system for solving time-consuming global optimization problems (2018)
- Gupta, Srikant; Ali, Irfan; Ahmed, Aquil: Multi-objective capacitated transportation problem with mixed constraint: a case study of certain and uncertain environment (2018)
- Khajavirad, Aida; Sahinidis, Nikolaos V.: A hybrid LP/NLP paradigm for global optimization relaxations (2018)