I tested it for FIBO(SEQUENCE(10000)) and in the worst-case scenario, it took 20ms, so it serves to get a single Fibonacci number or a series.Short, no recursive, and low computation effort. It reminds me of this heuristic rule that I heard once, :-): T+S+H=C Thinking (T) p...
In general Python will be considerably faster and there are also optimisations for big integers. For example running '%timeit fib(100000)' takes just 5.25ms to return all 20899 digits. In Excel however much of the gains will probably be lost in data transfer so I think lambda solutions are ...
A Sanskrit grammarian, Pingala, is credited with the first mention of the sequence of numbers, sometime between the fifth century B.C. and the second or third century A.D. Since Fibonacci introduced the series to Western civilization, it has had a high profile from time to time. InThe Da...
2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Quaternary n-cubes and Isometric Words 2021, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bio...
Lambda Example: Generate Fibonacci series In this post, I would like to explain how I have used Lambda to create a function to generate a Fibonacci series array. This example can also be used to understand how to create an array where th...Show...
The second formula looks promising applied to the Fibonacci series but I have yet to extract the ideas to apply them to other problems. this is awesome. I took a bit of time to study this solution as THUNKs in general have been a concept I have brushed with but don't feel I have fu...
In this post, I would like to explain how I have used Lambda to create a function to generate a Fibonacci series array. This example can also be used to understand how to create an array where th... yes but I think the problem is on the FIBO side not the BigAdd. In the algorithm...
requires 1000 applications of HSTACK. The advantage of such an approach is that it works even when the accumulated rows are not independent. In a time series financial model, it is possible that some accumulated arrays may depend upon more than one input row and need to be treated ...
requires 1000 applications of HSTACK. The advantage of such an approach is that it works even when the accumulated rows are not independent. In a time series financial model, it is possible that some accumulated arrays may depend upon more than one input row and need to be treated ...
Now it may be possible to do some of these things in Python but that is some way off for me! Playing with the concept a bit more, it could be worth defining a generalised SCAN function that applies to both types of setup. For Fibonacci sequence, ...