The Leslie matrix plays a crucial role in analyzing the changes in survival and birth rates, thus determining the population's evolution. However, when it comes to evaluating continuous solutions of population gro...
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The Leslie matrix plays a crucial role in analyzing the changes in survival and birth rates, thus determining the population's evolution. However, when it comes to evaluating continuous solutions of population growth models, discrete solutions are necessary. The Leslie matrix model, being a discrete model based on the age stage of the population, becomes particularly relevant in this context. In this work, we present a computational mathematical tool designed be used in the Leslie matrix model, which consists of reconstructing a Leslie matrix of any order from a given set of real numbers.
GP has traditionally been implemented in LISP but there is a slow migration towards faster languages like C++. Any implementation language is dictated not only by the speed of the platform but also by the desirability...
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GP has traditionally been implemented in LISP but there is a slow migration towards faster languages like C++. Any implementation language is dictated not only by the speed of the platform but also by the desirability of such an implementation. With a large number of scientists migrating to scientifically-biased programming languages like mathematica, such provides an ideal testbed for *** this study it was attempted to implement GP on a mathematica platform, exploiting the advantages of mathematica’s unique capabilities. Wherever possible, optimizations have been applied to drive the GP algorithm towards realistic goals. At an early stage it was noted that the standard GP algorithm could be significantly speeded up by parallelisation and the distribution of processing. This was incorporated into the algorithm, using known techniques and mathematica-specific knowledge.
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