Abstract. Sequential quadratic programming (SQP) methods form a class of highly efficient algorithms for solving nonlinearly constrained optimization problems. Although second deri...
As Java technology matures, an increasing number of applications that have traditionally been the domain of languages such as C++ are implemented in Java. Many of these applicatio...
The optimization of integrated spiral inductors has great practical importance. Previous optimization methods used in this field are either too slow or depend on very simplified a...
Partial evaluation is a program specialization technique that allows to optimize programs for which partial input is known. We show that partial evaluation can be used with advanta...
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...