Error bounds for analytic systems and their applications
Mathematical Programming: Series A and B
Error Bounds for Piecewise Convex Quadratic Programs and Applications
SIAM Journal on Control and Optimization
Error bounds in mathematical programming
Mathematical Programming: Series A and B - Special issue: papers from ismp97, the 16th international symposium on mathematical programming, Lausanne EPFL
Mathematical Programming: Series A and B
A Frank–Wolfe Type Theorem for Convex Polynomial Programs
Computational Optimization and Applications
Computable Error Bounds For Convex Inequality Systems In Reflexive Banach Spaces
SIAM Journal on Optimization
Weak sharp minima revisited, part II: application to linear regularity and error bounds
Mathematical Programming: Series A and B
Error bounds for convex differentiable inequality systems in Banach spaces
Mathematical Programming: Series A and B
On Generalizations of the Frank-Wolfe Theorem to Convex and Quasi-Convex Programmes
Computational Optimization and Applications
Second-Order Sufficient Conditions for Error Bounds in Banach Spaces
SIAM Journal on Optimization
Characterizations of Local and Global Error Bounds for Convex Inequalities in Banach Spaces
SIAM Journal on Optimization
Weak sharp minima revisited, Part III: error bounds for differentiable convex inclusions
Mathematical Programming: Series A and B - Nonlinear convex optimization and variational inequalities
On Extension of Fenchel Duality and its Application
SIAM Journal on Optimization
Error Bounds for Convex Polynomials
SIAM Journal on Optimization
SIAM Journal on Optimization
Alternative Theorems for Quadratic Inequality Systems and Global Quadratic Optimization
SIAM Journal on Optimization
Error bound results for generalized D-gap functions of nonsmooth variational inequality problems
Journal of Computational and Applied Mathematics
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In this paper, we present some new and tractable sufficient conditions for convex asymptotically well behaved (AWB) functions. Moreover, we establish several Lipschitz- and Hölder-type global error bound results for a single convex polynomial and for functions which can be expressed as maximum of finitely many nonnegative convex polynomials. An advantage of our approach is that the corresponding Hölder exponent in our Hölder-type global error bound results can be determined explicitly.