The aspect-oriented programming community devotes lots of energy into the provision of complex static language constructs to reason about eventual dynamic properties of a program.

of AOP. This paper shows that dynamically scoped functions, together with a simple additive to access previous function definitions, form the essence of aspect-oriented programming. We present a complete executable one page implementation of this idea. 1 Lexical vs. Dynamic Scope A definition is said

, in essence, allows us to find needles in haystacks in the form of very predictive but rarely seenfeatures. Ourparadigmstemsfromrecentadvancesinstochasticoptimizationandonlinelearning which employ proximal functions to control the gradient steps of the algorithm. We describe and analyze an apparatus

of high mass consumption lie the problems which are beginning to arise in a few societies, and which may arise generally when diminishing relative marginal utility sets in for real income itself. Blackwell Publishing and Economic History Society These descriptive categories are rooted in certain dynamic

Aspect Oriented Programming (AOP) is an important technique to express modular and orthogonal adaptations of existing software components. Woven into a program, an aspect may change several units of functionality. Existing approaches to AOP require that the programmer deals with two languages

As software becomes increasingly complex, the need for abstraction and modularization of system functionality grows harmoniously. Limiting scope to certain aspects of functionality and building upon previous functional analyses compositionally can alleviate complexities associated with building

This paper introduces a language feature, called implicit parameters, that provides dynamically scoped variables within a statically-typed Hindley-Milner framework. Implicit parameters are lexically distinct from regular identifiers, and are bound by a special with construct whose scope is dynamic

-effects, exceptional termination and non-termination due to recursion. We consider a simple language (equivalent to a fragment of Standard ML) of typed, higher order functions that can dynamically create fresh names. Names are created with local scope, can be tested for equality and can be passed around via function

reconfiguration to adapt image generation to individual patients. These two characteristics suggest the use of AOP techniques to manage variability which is akin to a crosscutting functionality and to enable dynamic reconfiguration. In this paper we present three results related to AOP and medical imaging

The aim of this paper is to propose the use of temporal logic in dynamic weaving of advices in aspect oriented programming (AOP), based on process functional paradigm. Namely, temporal logic appears to be well suited tool to design pointcuts whose task is selection of join points throughout source