LINDO API 12 Enhancements
Release 12 of LINDO API includes a wide range of performance enhancements and new features.
Better Performance on Linear Models with Improved Simplex Solvers
Significantly Faster on Large Quadratic Models
Improved Handling of Models with Discontinuous Functions
Faster When Simultaneously Solving LPs Using Different Solvers
Multi-Start NLP Solver Now Supports a Target Value
New Engineering Design Functions Added
LINDO API 11.0版增强
Release 11 of LINDO API includes a wide range of performance enhancements and new features.
Faster Solutions on Linear Models with Improved Simplex Solver
Enhancements to the Simplex solvers boost performance on linear models. Large models solve an average of 20% faster using primal simplex and 15% faster for dual simplex.
Improved Integer Solver
New symmetry detection capabilities dramatically reduce the time required to prove optimality on certain classes of models with integer variables. Performance has been improved on Markowitz portfolio problems with minimum buy quantities, and/or limit on number of instruments at nonzero level. Other enhancements provide faster solutions on certain task assignment-like models.
Global Solver Enhancements
Stability and robustness of the Global solver has been improved through several enhancements to quadratic recognition and range reduction. Improved exploitation of convexity of certain ratio constraints, e.g., as found in heat exchanger network design problems.
More Constraint Types Supported
Several new functions and constraint types are recognized, e.g., the AllDiff constraint for general integer variables. AllDiff constraints allow one to specify a set of integer variables, such that each variable in the set must have a unique value, different from all other variables in the set.
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