We establish a "preparatory Sard theorem" for smooth functions with a partially affine structure. By means of this result, we improve a previous result of Rifford [17, 19] concerning the generalized (Clarke) critical values of Lipschitz functions defined as minima of smooth functions. We also establish a nonsmooth Sard theorem for the class of Lipschitz functions from R (d) to R (p) that can be expressed as finite selections of C (k) functions (more generally, continuous selections over a compact countable set). This recovers readily the classical Sard theorem and extends a previous result of Barbet-Daniilidis-Dambrine [1] to the case p > 1. Applications in semi-infinite and Pareto optimization are given
We give, in a non-smooth setting, some conditions under which (some of) the minimizers of f(Omega) f...
We consider the problem of maximizing a non-concave Lipschitz multivariate function over a compact d...
Let L(x, xi) : R-N x R-N -> R be a Borelian function and let (P) be the problem of minimizing integr...
International audienceWe establish a " preparatory Sard theorem " for smooth functions with a partia...
Abstract. We prove that any subanalytic locally Lipschitz function has the Sard property. Such funct...
We prove that any subanalytic locally Lipschitz function has the Sard property. Such functions are t...
Abstract The Morse-Sard theorem states that the set of critical values of a Ck smooth function defin...
We consider certain properties of maps of class $C^2$ from $R^d$ to $R^{d1}$ that are strictly relat...
A well-known example of global optimization that provides solutions within fixed error limits is opt...
Variational Analysis is the modern theory of nonsmooth, nonconvex analysis built on the theory of co...
For equality-constrained optimization problems with locally Lipschitzian objective functions, we der...
In this paper we prove finiteness principles for C-m(R-n, R-D) and C-m-1,C-1(R-n, R-D) selections. I...
In this paper we prove finiteness principles for $C^{m}\left( \mathbb{R}^{n}, \mathbb{R}^{D...
Most numerically promising methods for solving multivariate unconstrained Lipschitz optimization pro...
We use an inequality due to Bochnak and Lojasiewicz, which follows from the Curve Selection Lemma of...
We give, in a non-smooth setting, some conditions under which (some of) the minimizers of f(Omega) f...
We consider the problem of maximizing a non-concave Lipschitz multivariate function over a compact d...
Let L(x, xi) : R-N x R-N -> R be a Borelian function and let (P) be the problem of minimizing integr...
International audienceWe establish a " preparatory Sard theorem " for smooth functions with a partia...
Abstract. We prove that any subanalytic locally Lipschitz function has the Sard property. Such funct...
We prove that any subanalytic locally Lipschitz function has the Sard property. Such functions are t...
Abstract The Morse-Sard theorem states that the set of critical values of a Ck smooth function defin...
We consider certain properties of maps of class $C^2$ from $R^d$ to $R^{d1}$ that are strictly relat...
A well-known example of global optimization that provides solutions within fixed error limits is opt...
Variational Analysis is the modern theory of nonsmooth, nonconvex analysis built on the theory of co...
For equality-constrained optimization problems with locally Lipschitzian objective functions, we der...
In this paper we prove finiteness principles for C-m(R-n, R-D) and C-m-1,C-1(R-n, R-D) selections. I...
In this paper we prove finiteness principles for $C^{m}\left( \mathbb{R}^{n}, \mathbb{R}^{D...
Most numerically promising methods for solving multivariate unconstrained Lipschitz optimization pro...
We use an inequality due to Bochnak and Lojasiewicz, which follows from the Curve Selection Lemma of...
We give, in a non-smooth setting, some conditions under which (some of) the minimizers of f(Omega) f...
We consider the problem of maximizing a non-concave Lipschitz multivariate function over a compact d...
Let L(x, xi) : R-N x R-N -> R be a Borelian function and let (P) be the problem of minimizing integr...