A surrogate constraint is an inequality implied by the constraints of an integ~r program, and designed to capture useful information that cannot be extra~ted from the parent constraints individually but is nevertheless a consequepce of their conjunction. The use of such constraints as originally propo~ed by the author has recently been extended in an important way by EGON! BALAS and ARTHUR GEOF...

August 18, 2017 Type Package Title Evaluation of Surrogate Endpoints in Clinical Trials Version 0.4 Date 2017-08-18 Author Wim Van der Elst, Paul Meyvisch, Ariel Alonso, Hannah M. Ensor, Christopher J. Weir & Geert Molenberghs Maintainer Wim Van der Elst Description In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness ...

Before we apply nonlinear techniques, for example those inspired by chaos theory, to dynamical phenomena occurring in nature, it is necessary to rst ask if the use of such advanced techniques is justiied by the data. While many processes in nature seem very unlikely a priori to be linear, the possible nonlinear nature might not be evident in speciic aspects of their dynamics. The method of surr...

neonatal tetanus (nt) is a leading cause of neonatal mortality in many parts of the world. tetanus is a vaccine-preventable disease and is second only to measles worldwide as a cause of childhood mortality. in this study the various irnrnunoglobulin classes of anti-tetanus antibody in the sera of 105 iranian women of childbearing age (13-45 years) were titrated by enzyme linked immunosorbent as...

Robust optimization problems, which have uncertain data, are considered. We prove surrogate duality theorems for robust quasiconvex optimization problems and surrogate min-max duality theorems for robust convex optimization problems. We give necessary and sufficient constraint qualifications for surrogate duality and surrogate min-max duality, and show some examples at which such duality result...