DSP | An open-source parallel optimization solver for structured mixed-integer programming | GPU library
kandi X-RAY | DSP Summary
kandi X-RAY | DSP Summary
DSP (Decomposition of Structured Programs) is an open-source and parallel package that implements decomposition methods for structured Mixed-Integer Quadratically Constrained Quadratic Programming (MIQCQP) problems. Structured programming problems refer to the class of problems that embed decomposable structures (e.g., block-angular matrices). Multiple decomposition methods can effectively utilize such structures in order to accelerate the solutions.
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Lines of Code : 1License : Non-SPDX (NOASSERTION)
Copygit clone --recursive https://github.com/Argonne-National-Laboratory/DSP.git
Community Discussions
Trending Discussions on DSP
QUESTION
I am working in React Native and have encountered an error I have never seen before. I have a couple of nested mapping functions to help render a list of user accounts. The point of this is to list every user so that you can add or remove them from a groupchat. This means I need to track each users' ids and compare it to the ids of users already in the groupchat (so you can remove ones who are already in and add ones who are not, and NOT vice versa). The issue I am facing is that whatever variable I put into the function that dictates whether and add button or remove button is shown is that the id entered into the function keeps changing its value. I have console.log statements before every function call and it logs the user's uuid properly every time, but once it goes into the function, the value somehow changes from the uuid to a JSON object of what appears to be all possible View props. My code is below...
ANSWER
Answered 2022-Feb-14 at 20:13The parameter passed by Touchable into the onPress function is a GestureResponderEvent. You are renaming it to selectedId, and then consequently adding it to your list.
onPress={(selectedId) => handleAddClick(selectedId)
You probably mean onPress={() => handleAddClick(selectedId), but you haven't shown where selectedId comes from so I can't say for sure.
QUESTION
According to the answers to various questions on this web site (link, link, link), it is not allowed to cast a function pointer to a data pointer.
This makes sense to me because there are some CPU architectures where a function pointer is longer than a data pointer: By casting a function pointer to a data pointer, data will get lost.
A historic example for desktop programs would be x86-16 with "medium" memory layout (sizeof(void (*)())=4, sizeof(void *)=2); you still find this behavior in some modern (mainly non-desktop) CPUs.
If a variable shall hold a pointer to "unknown" data, you use the data type void *.
I'm currently writing a program where a variable may hold a pointer to an "unknown" function (just like the value returned by dlsym() in Linux or GetProcAddress() in Windows):
ANSWER
Answered 2022-Jan-22 at 12:03You included "GPU" in the list of platforms. Some GPUs do not even support true function calls but just inlining & unrolling (i.e. in OpenCL). Same with "goto" command. It's not allowed to even enter from another entrance point of a function.
If you can, sort the array of function identifiers (that hints about which function is to be called). Then separate different chunks into different arrays, then call them in their own kernels. If there are 100 different functions, then you could call all of them in their own kernels after the array is sorted. This even optimizes for the branching performance problem of the GPU shaders. After kernels complete, you can continue main algorithm.
QUESTION
I'm using matplotlib to make step graphs based on a dataframe, but I want one of the key/value of the dataframe to appear (signals_df['Gage']), instead of coordinates as annotation, but I always get the error: AttributeError: 'Line2D' object has no attribute 'get_offsets' when I click on the first subplot from bottom to top and the annotation does not appear. In fact, I commented out the annot.set_visible(False)and replaced the "" of the examples with val_gage, so that it will look like I want the annotation to appear one by one, when clicking on some point within the subplots.
This is the code in question:
ANSWER
Answered 2021-Nov-04 at 11:07Without knowing much about the libraries you are using I can see you are creating these annotation objects and then assigning them to a global variable that is re-assigned later and thus you lose the right object to make it visible.
Instead you could keep the annotation objects into a dictionary and try to retrieve them later when you need them based on an object.
I used a list to show you the idea, but you need a dictionary I guess to identify the right objects.
I modified your code a bit and it shows the desired behaviour if you resize the window...I guess you have to find a way to refresh the plot also:
QUESTION
Hello everyone (a python newbie here), I am trying to select a value from a dropdown [(image here)][1] from the following site: https://www.amfiindia.com/net-asset-value/nav-history but I am getting the error
...ANSWER
Answered 2021-Sep-08 at 07:47QUESTION
I'm developing in Python using the pandas, numpy and matplotlib modules, to paint various subplots of a dataframe, using the following code:
...ANSWER
Answered 2021-Aug-31 at 15:26I leave this answer for possible searches later for someone with the same topic. I found my error, the way I was handling the for loop was not correct, I replaced it and modified it as follows:
QUESTION
I am using Simulink for real-time classification using a trained Fine-KNN model. The input data for the model is a 50-point moving average vector [6x1]. I am using the DSP moving average block for this purpose with sliding window technique (window size = 50 and simulating using code generator). When I compare the input and the output of this block for real-time values, I get the following plot:
It is clear from the plot that there is something wrong with the output as there is quite a discrepancy between the input and the output. What could possibly be the problem or am I doing something wrong?
Edit (after Cris's comment):
Here are some screenshots to showcase some modeling parameters within Simulink:
Screenshot showing probes for measuring actual input and moving average output along with the Moving Average block parameters Probes
Other block parameters that might be affecting the performance of the model: a. OPC Config real-time block parameters b. OPC Read block parameters
PS: One issue that I can think of is that the actual input is fed to the Moving Average in real-time at 10ms time-step and I am not sure if the moving average block has a buffer to store up to the "Window Length" data as it keeps coming in. What I mean by this is, the moving average block might not have access to 50 values of the input signals for quite some time and I am not sure how it deals with that kind of a situation.
...ANSWER
Answered 2021-Aug-27 at 13:07I can reproduce this with the following minimal example:
So a constant input of [1; 2; 3] gives a moving average of roughly 2 (the average of the input elements) in all elements, when you would expect an output of [1; 2; 3] since each element is constant.
In your example, the inputs average approximately 0.62, which you are seeing in the output from the moving average.
Using a demux to split your vector up gives the desired output
The docs say that the moving average block should be able to handle this though
The Moving Average block computes the moving average of the input signal along each channel independently over time.
It turns out that a channel in this case is a column of your vector. Since you have a column vector, the columns in each iteration are getting stacked and averaged. Unfortunately the underlying code is sealed so we can't check this theory other than by trying it out.
Reshape your input to be a row array using the reshape block.
Then you get the expected output
QUESTION
I've been doing some research on intent data and I have some technical questions, especially about how two businesses might be collecting "contact level" i.e. personally identified web traffic details without using third-party cookies.
Some quick background: Most of the large providers of intent data (bombora, the big willow/aberdeen/Spiceworks Ziff Davis, Tech Target etc.) offer "account" based intent data - essentially when users visit websites in their network, they do a reverse IP addresses lookup, match them to know IP addresses of large companies (usually companies with at least 250 employees) and note what topics are "surging" - aka showing unusual traffic on a given week. This largely makes sense to me. I'm assuming that when a visitor shows up at your site, google analytics and similar tools can tell you what google search keywords were used to arrive at your site, and that's how they can say things like - we can "observe intent signals across an unlimited number of contextual keyword categories, allowing you to customize your keywords and layer these insights onto your campaigns for optimal performance." Third party cookies, and data from DSP's (demand side platform's enabling ad buyers to buy ads across many platforms) are also involved in providing data, those these will be less useful sources of data after google sunset's third party cookies on Chrome.
Two providers - intentdata.io, and intentflow.com are offering contact level intent data. You can imagine why that would be of interest - if the director of sales is interested in your sales SaaS tool, you have a better idea of how qualified that lead is and who to reach out to. Only one of the two providers is specific about what exactly they're collecting - i.e. what "intent" they are capturing and how they're collecting it.
Intentdata.io:Intentdata.io looks like a tiny company (two employees on LinkedIn). The most specific statement I've found about what their data is was in an Impact+ podcast interview - Ed, the CRO at intentdata.io, mentions that the data is analogous to commenting on a Forbes article or a conversation on LinkedIn. But he's clear - "that's just an analogy." They also say elsewhere that the data they provide mentions specifically what action the contact took that landed them in the provided data.
Ed from intentdata.io is also asked about GDPR compliance in his Impact+ interview - he basically says, some lawyers will disagree but he believes their data to be GDPR compliant, and it is in use by some firms in the EU. He does mention though that some firms have asked them to exclude certain columns from the data, like email addresses.
Edit: Found a bit more on intentdata.io - looks like they build a custom setup to pull "intent" data for each customer - they don't have a database monitoring company interaction with content across social media and b2b sites, instead you provide them with "lists (names and URLs) of customers, competitors, influencers, events, target accounts and key terms that would indicate intent at different stages in the buying journey. Pull together important hashtags, details on your ideal buyer (job titles, functions, seniority) and firmographics (size, industry, location)" - then they create a custom "algorithm" from this info, and they iterate on that "algorithm" a little bit over time.
They also make this statement on their site: "IntentData.io's data is collected from observing public actions that users are taking around the web. That means that first, we observe action (not reading, searching, browsing, being shown an ad, etc.) which we believe is a more concrete manifestation of intent. Second, people are taking these actions publicly for the world to see. We do not use any cookies, bidstream data or reverse IP lookups."
Finally one piece of their sales collateral asks: What ad budget do you have for PPC nurturing ads? So their may be some targeted PPC ads involved in the "algorithm."
Edit 2: Their sales collateral also states that they use "a third-party intent data methodology that uses multi-variable linear regression analysis to correlate observed actions with a specific contact. This is the method that the LeadSift engine of IntentData.io data uses."
Intentflow.com:Intentflow.com seems like the sketchier of the two providers if I'm honest. They provide a video walkthrough of how they get their data at intentflow.com/thesis - but I'm not following how using "traceable urls" with no cookies involved, could give you contact level information. They also say they lookup what the most popular articles/pages are for 5k to 40k unique keywords or phrases that are related to 10-50 keywords or phrases you give them to target. And they use "traceable urls" to track who visits those sites. Again - no cookies involved. Supposedly fully compliant at least with US laws. They don't provide data for the EU "by design" so presumably they're not GDPR compliant? They also claim they can identify the individuals who are visiting your website, again using "traceable urls" - it seems clear from the pitch that you're asked to reach out to your backlink providers around the web to use this traceable url.
I've seen an interview where a rep from Bombora says they tried for a while to do contact level intent data and it wasn't very useful - and it wasn't really doable in a compliant way. Ed seems to be aware they've said that publicly, and he says "that's just not true."
So what's going on here? How exactly are these two small firms getting contact level intent data? Do you think they're doing it in a compliant way?
...ANSWER
Answered 2021-Aug-23 at 20:18Got more information:
Intentdata.io use public comments, likes, shares etc. on blogs, social posts via web crawling and scraping for events, influencers, hashtags, articles etc. that the customer deems worth tracking. They do some work to try and connect the commenters with an identifiable contact. They bill on a quarterly basis for this.
Intentflow.com doesn't seem to use "traceable urls" at all. They take bidstream data, and identify the individual visitors via an "identity graph." They provide a minimum of 5k contacts per month at $2 per contact, making their data very expensive ($120k+ per year). You can't get lower than however many contacts their system spits out per month so it seems like there's not a good firm limit on what you will be charged. They say they can identify ~70% of web traffic, and they only provide data on US site visitors. Each row of their output would include not just the contact, but the site that contact was shown an ad on. Definitely interesting data - but I'm guessing they will be very affected by upcoming changes to third party cookies, privacy laws, etc.
QUESTION
I have an ASP.Net 5 Web API which is secured using The Microsoft.identity.Web package, so it is backed by Azure Active Directory. The authentication in the API itself is working fine and without any problems.
I'm struggling when I want to get the authorization to work inside Swagger UI. I'm using the Authorization code flow and everything seems fine at first (I get to the Microsoft login screen, can enter my credentials and receive an authorization code).
However after Swagger UI got the authorization code, it calls the token endpoint at https://login.microsoftonline.com/organizations/oauth2/v2.0/token. The response from that call is 99% percent fine, except that it is missing the Allow-Origin-Header so the response is blocked by the browser itself and cannot reach the Swagger UI JavaScript which would then set the token it received from that response.
What am I missing here to get that header in the response?
This is the code in my Startup.cs
...ANSWER
Answered 2021-Aug-05 at 07:17The problem was that I was using the AuthorizationCode-Flow which is only suitable for backend applications, because the client secret needs to be transmitted there.
The correct way was to use the Implicit-Flow while keeping everything else the same. That flow is intended for JS applications where it is impossible to securely send a client secret without the user being able to see it.
QUESTION
Can anyone advise why this isn't working?
...ANSWER
Answered 2021-Jul-19 at 17:49In React, modifying the state (e.g. your setButtonName call) and rendering components (React (indirectly) calling App()) need to be separate. If you try to modify the state during rendering, React will indeed throw an error.
In your case, you can calculate buttomName during rendering, without having to store it in a state variable:
QUESTION
I'm recording live audio in 5 second clips with Julia and want to cut out all sounds below a certain frequency. This is my record script so far:
...ANSWER
Answered 2021-Jul-16 at 21:56using DSP
"""
highpassfilter(signals, fs, cutoff, order=4)
Apply high pass filter to signals, return filtered data
"""
function highpassfilter(signals, fs, cutoff, order=4)
wdo = 2.0 * cutoff / fs
filth = digitalfilter(Highpass(wdo), Butterworth(order))
filtfilt(filth, signals)
end
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