Promedio de descarga/visualización de los códigos de Lisp

In a recent study, Prechelt compared the relative performance of Java and C++ in terms of execution time and memory utilization. Unlike many benchmark studies, Prechelt compared multiple implementations of the same task by multiple programmers in order to control for the effects of differences in programmer skill. Prechelt concluded that, "as of JDK 1.2, Java programs are typically much slower than programs written in C or C++. They also consume much more memory." We have repeated Precheltís study using Lisp as the implementation language. Our results show that Lisp's performance is comparable to or better than C++ in terms of execution speed, with significantly lower variability which translates into reduced project risk. Furthermore, development time is significantly lower and less variable than either C++ or Java. Memory consumption is comparable to Java. Lisp thus presents a viable alternative to Java for dynamic applications where performance is important.

Vamos a ver un tipo de lenguaje funcional que es muy útil en el campo de la Inteligencia Artificial: Lisp.

Maxima es un potente y completo sistema de algebra computacional, implementado por William F. Schelter usando Common Lisp como lenguaje de programación.