I want to make a scientific calculator for calculating derivatives.
I want to show the steps of the solution.
I have tried to get some API that provides me with the steps of solving the Derivative Questions but have not succeeded.
I found an Api to solve the calculus questions, but it is not giving a proper response on my end.
May it work for you.
Related
I'm trying to use the framework Pyomo in order to solve an VRP with stochastic demands. I was wondering if there is some simple examples of VRP in order to get a start point to solve it.
Any help is welcomed!
Thanks a lot in advance!
Though my answer is late, it's better late than none.
Please visit my github page link! and download the example you want.
It's similar to the ReferenceModel.py link sent earlier but that was written seven years ago and there has not been a modification to it. So I have modified it to run with the current version of pyomo.
Hope you will find it helpful
I looked at the user guide http://docs.jboss.org/optaplanner/release/6.1.0.Final/optaplanner-docs/html_single/index.html#d0e2669
I looked at the example code from git, but still feel quite lost about how to model my planning problem (for example some special TSP variant, let's say TSPTW ). the way OptaPlanner user code is structured is that the user code is devided into several packages, and there is not a entire "end-to-end" flow of code, and as a developer I only see these "modules" , sort of. So as a result it's very difficult for me to figure out how to connect the dots, and how these "dots" interact together to accomplish the overall algorithm task.
the section in the link above "Model your planning problem " sort of touches on the above question I have, but still seems out of sync with the example code, so it's difficult to figure out how the current examples work, also it's difficult for me to see how to add my own special logic for the TSP variant .
is there a better "code walk-through" document to show the usage of the framework?
thanks
Yang
Take a look here this guy create a simple optaplanner project to test some concepts and learn how to use it.
I am currently struggling to solve a system of linear equations using python. I have tried using numpy.linalg.solve, but it seems that this will only work for square arrays, which mine are not. Is there another function that I can use to solve my system that I don't know about, or is there some different method that I should try to implement here? Thanks in advance.
What about using the least squares method if you want to use numpy?
http://docs.scipy.org/doc/numpy/reference/generated/numpy.linalg.lstsq.html .
But it probably won't give you all solutions of an underdeterminated system.
I already did similar search terms for this topic in this forum.
https://stackoverflow.com/questions/6151668/alternative-to-google-translate-api
But that post is a bit old.. Things may have changed for about a year. And I wonder does anybody know if there's any better REST-based API service that I can use out there since that post was last posted.
Thanks.
I guess Bing translator could be the substitute that u are looking for.
I was looking for alternatives as well and came across a npm package called google-translate-api-browser which does work for my small project, but I can't assure big data translations or requests not being throttled
Problem:
I am trying to reverse geocode a lat/long into a closest street intersection using Google Maps API V3. Also, for now, this doesn't have to be super accurate-- as I am just trying to anonymize an address as opposed to providing directions.
I have seen that the Geocoding Results data contains an Address Component Type of "Intersection", but this doesn't seem to be consistent at all in the return results-- and is more often that not blank.
I have also done some looking on SO for the best way to construct this barring getting it from Google directly, and the closest I have seen is: How can I find the nearest intersection via the Google Maps API?, which doesn't really resolve my issue. In light of this I have come up with my own solution, and would like some opinions, optimizations, constructive criticism, or other options entirely.
My Tentative Solution:
After playing around with the API, I decided to give the following algorithm a shot (just for context, this is written in C# within a console app):
I take an address and resolve that into a lat/long.
I then add or subtract a certain amount of lat or long from the
coordinate-- on the order of a city block (a distance which is adjusted given your
latitude) and get walking directions between the points. I do this for up to all four directions-- so the first modification would be to keep the latitude the same but subtract some longitude. Then the next modification would be to keep the latitude and add some longitude, etc.
After getting the directions, I parse the results and check the start
and end address. If they are different, I pull out the street names
and treat them as an "intersection" (even though sometimes this
results in parallel streets-- again just trying to get a ballpark).
If I don't find two different streets, I widen the distance of the end destination and repeat the process.
So far this working well enough, but obviously it is an expensive process both in terms of time, and in using up my allotted query limit. Also, I checked the API terms of service, and as long as I include their disclaimer and display the results on a Google Map I think that I am ok.
My questions for the community are:
How can I improve the efficiency of the algorithm? Specifically, in
the number of times I call the API (the implementation code is not a
problem)
Is there another way entirely to do this using the Google Maps API?
In the SO question referred to above, the solution was to loop
over building numbers. I am not sure exactly what that means-- so any
clarification would be great.
As referred to above, I do not believe this is breaking the terms of service-- but am I mistaken?
Is there another web-based API to use that may meet my needs better?
Perhaps Bing, or some other provider?
Thanks a lot for any help.
UPDATE:
I have run into my query limit for the day, so I won't be able to test any suggestions against Google today, but I am also still open to using a different API. Thanks.
Old question, but since the original poster stated they were open to solutions other than Google, Geonames has a web API for this for the U.S. See GeoNames WebServices overview and http://www.geonames.org/maps/us-reverse-geocoder.html#findNearestIntersection