Journal of Optimization Theory and Applications
Optimization of the norm of a vector-valued DC function and applications
Journal of Optimization Theory and Applications
On Covering Methods for D.C. Optimization
Journal of Global Optimization
Continuous location problems and Big Triangle Small Triangle: constructing better bounds
Journal of Global Optimization
Locating Objects in the Plane Using Global Optimization Techniques
Mathematics of Operations Research
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It is well known that, if a vector-valued function can be written as difference of componentwise convex functions, the norm of such function inherits this property. In this note we show that, if the norm in use is monotonic in the positive orthant and the functions are non-negative, a sharper decomposition can be obtained.