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For reasons of logical cell usage the use of fixed point representations of the numbers involved in the computation of the algorithm is used.
Some existence results for at least one positive solution are obtained by the use of fixed point index theory.
Nevertheless, the asymptotic lower bound was obtained applying standard arguments that are not based on the use of fixed point techniques.
Therefore, we will investigate the existence of positive solutions for BVP (1.1) under some further conditions by making use of fixed point index theory.
By the use of fixed point theorem and the properties of mixed monotone operator theory, the existence and uniqueness of positive solutions for the problem are acquired.
The texts by Agarwal et al. [35] and by Guo and Lakshmikantham [36] are excellent resources for the use of fixed point theory in the study of existence of solutions to boundary value problems.
Similar(51)
It should be noted that the results that have been achieved regarding this case do make use of fixed points theorems quite extensively.
This speedup is mainly attributed to the use of pipelining, the use of fixed-point arithmetic for all calculations and the fine-grained parallelism using FPGAs.
Additionally, we discuss the importance of software techniques such as the use of fixed-point arithmetic, reduced data transfers and cache-friendly programming.
Since fixed-point arithmetic can be performed faster and more energy-efficiently than floating-point arithmetic on power-limited devices, the use of fixed-point rather than floating-point rendering is a critical concern.
The use of fixed-point arithmetic introduces an unavoidable quantization error when a signal is quantified.
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