An implementation of a discretization method for semi-infinite programming
Mathematical Programming: Series A and B
An interior point algorithm for semi-infinite linear programming
Mathematical Programming: Series A and B
A note on an implementation of a method for quadratic semi-infinite programming
Mathematical Programming: Series A and B
A modeling language for mathematical programming
Management Science
A computational algorithm for functional inequality constrained optimization problems
Automatica (Journal of IFAC)
The C programming language
Discretization methods for the solution of semi-infinite programming problems
Journal of Optimization Theory and Applications
A new computational algorithm for functional inequality constrained optimization problems
Automatica (Journal of IFAC)
Interior-point algorithms for semi-infinite programming
Mathematical Programming: Series A and B
CUTE: constrained and unconstrained testing environment
ACM Transactions on Mathematical Software (TOMS)
Numerical experiments in semi-infinite programming
Computational Optimization and Applications
First-Order Algorithms for Generalized Semi-Infinite Min-Max Problems
Computational Optimization and Applications - Special issue on computational optimization—a tribute to Olvi Mangasarian, part II
An Unconstrained Convex Programming Approach to Linear Semi-Infinite Programming
SIAM Journal on Optimization
Optimal Signal Sets for Non-Gaussian Detectors
SIAM Journal on Optimization
Mathematical and Computer Modelling: An International Journal
Solving semi-infinite programming problems by using an interface between MATLAB and SIPAMPL
SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
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SIPAMPL is an environment for coding semi-infinite programming (SIP) problems. This environment includes a database containing a set of SIP problems that have been collected from the literature and a set of routines. It allows users to code their own SIP problems in AMPL, to use any problem already in the database, and to develop and test any SIP solver. The SIPAMPL routines support the interface between a potential SIP solver and test problems coded in AMPL. SIPAMPL also provides a tool that allows the selection of problems from the database with specified characteristics. As a concept demonstration, we show how MATLAB can use SIPAMPL to solve the problems in the database. The Linux and Microsoft Windows versions together with the database of coded problems are freely available via the web.