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Statements

Subject Item
dbr:Successive_linear_programming
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Successive linear programming
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Successive Linear Programming (SLP), also known as Sequential Linear Programming, is an optimization technique for approximately solving nonlinear optimization problems. Starting at some estimate of the optimal solution, the method is based on solving a sequence of first-order approximations (i.e. linearizations) of the model. The linearizations are linear programming problems, which can be solved efficiently. As the linearizations need not be bounded, trust regions or similar techniques are needed to ensure convergence in theory.
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dbc:Optimization_algorithms_and_methods
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1087021399
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dbr:Augmented_Lagrangian_method dbr:Sequential_quadratic_programming dbr:John_Wiley_&_Sons dbr:Petrochemical_industry dbr:Springer-Verlag dbr:Linearization dbr:Sequential_linear-quadratic_programming dbr:Optimization dbr:Nonlinear_optimization dbc:Optimization_algorithms_and_methods dbr:Trust_region
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Successive Linear Programming (SLP), also known as Sequential Linear Programming, is an optimization technique for approximately solving nonlinear optimization problems. Starting at some estimate of the optimal solution, the method is based on solving a sequence of first-order approximations (i.e. linearizations) of the model. The linearizations are linear programming problems, which can be solved efficiently. As the linearizations need not be bounded, trust regions or similar techniques are needed to ensure convergence in theory. SLP has been used widely in the petrochemical industry since the 1970s.
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