Here's my question on Stack Overflow : https://stackoverflow.com/questions/70132720/using-const-generic-in-implementation-of-trait-for-another-trait-causes-unconst
Hello, I have to present the explanation to an unconstrained minimization problem. In the textbook, they use the BFGS method for minimizing the work equation. I have tried to understand the method by reading the textbook but they don’t go into detail in the step where they do the line search and find the step size. Does anybody know a detailed step-by-step for using BFGS to minimize an equation with two variables?
NeRFs are great, yet they are primarily used for interpolating views in single object scenes and have severely limited capabilities for extrapolating beyond the input views. Generative Scene Networks (GSN), proposed by Terrance DeVries and his colleagues at Apple University of Guelph and Vector Institute, learn to decompose scenes into a collection of many local radiance fields. This enables the model to be used as a prior to generate novel scenes or complete scenes from sparse 2D observations at higher quality than existing models.
Check out the full paper summary on Casual GAN Papers (Reading time ~5 minutes).
Subscribe to my channel and follow me on Twitter for weekly AI paper summaries!
I don't fully understand the problem of unconstrained liquidity. The Maladex whitepaper says, "In unconstrained liquidity, i.e., one provided in the full CFMM range of (0,∞) capital is highly inefficient, for instance in Uniswap the trading pair DAI / USDC assigns only 0.5% of the liquidity for the trading range between $0.99 and $1.01 through which majority of trading volume goes through."
Here's what I don't get: How in a typical DEX is liquidity constrained, when you basically just put (when using the DEX) assets in on one side of a given liquidity pair, and get the other member of the pair out, minus fees? I mean with Uniswap the equation is very simple, and yes, most of the trading happens in in a narrow range. But in my mind, it's not as if you have a bunch of eUTxOs deployed along multiple points along the curve. That's not how it works. It's an account model, and you basically are just feeding assets into a contract.
I'm not saying the whitepaper is wrong. Heavens, no. It's me. Can someone explain? How is the liquidity spread out and effectively useless most of the time, in that model?
[SOLVED]
This code fails to compile because of an unconstrained subtype in component declaration error. Can it be made to work, while leaving both records as tagged? If not, how would you fix it? Thank you.
package Records is
type Unconstrained (Tag : Boolean) is
tagged record
case Tag is
when True =>
I : Integer;
when False =>
null;
end case;
end record;
type Container is
tagged record
X : Unconstrained;
end record;
end Records;
EDIT: As hinted by /u/OneWingedShark, you can write this to fix the code:
X : Unconstrained (True);
Thanks to everyone for chiming in.
Working from someone else's model, I have been trying to edit the main sketch, from which all other geometry is derived. The model is a part file for a welded assembly that is broken apart with the Save Bodies feature later on, so the main sketch has lots of closed contours. If I try to change the width of a contour or constrain a line in any way I get errors that I am making it Over Defined or Unsolvable, but I don't see why. There aren't any constraints to lock it in place. I can't drag lines either. What might be restricting me from moving the sketch and how I can get around this?
Thanks for any advise.
I have a project that will build without to timing errors. Some files have been added and now if I build the project there are some unconstrained paths that appear which are on pre-existing code, nothing that has been added.
The unconstrained path error states it is flagging this since it is unconstrained it marks the timing requirements as 0ns so obviously that gets flagged for not being met.
Question here is why are these not flagged in an older build if ucf is still the same from build to build? I would think should have always been flagged as unconstrained.
Hello everyone,
Do you please know a good way to fix unconstrained delegations ( with trust any) by finding the correct SPN for each of them ? We don’t have an inventory of what each delegation needs and I think setSPN doesn’t always provide everything if I’m correct.
I’m new in this field so I would appreciate your wisdom !
Thank you very much for the help !
Link: https://www.fastcompany.com/90582272/why-were-witnessing-a-new-golden-age-in-advertising
I personally agree with this, for what it's worth. I've worked in a large WPP organisation as well as small agencies before going in-house, and I had much more fun, and worked on more creatively fulfilling things in the smaller agencies.
I have been teaching myself about unconstrained optimization problems. I think I have a pretty good understanding of the content. However, I do not have the same confidence when it comes to the real application. I have attached the question that I have been trying to solve. Anybody can explain the steps I should take to be able to solve the problem. Thank you
https://preview.redd.it/whassl10u3z61.png?width=1376&format=png&auto=webp&s=182eddbe58f43fb44d3553895e7ac704b259e043
To understand how generics work, I am trying to naively emulate a pointer. However, I keep getting an "unconstrained subtype in component declaration" error. What am I doing wrong, please? Here is the code:
procedure Main is
generic
type Value_T (<>);
package Ptr is
type T (Is_Null : Boolean) is record
case Is_Null is
when False =>
Value : not null access Value_T;
when True =>
null;
end case;
end record;
end Ptr;
type Value_T;
package My_Ptr is new Ptr (Value_T);
use My_Ptr;
type Value_T is record
value : My_Ptr.T; -- <<<<< Error here.
end record;
begin
null;
end main;
EDIT: Setting a default value for Is_Null - as suggested - does fix the error, but then the record can't be tagged.
Hi folks!
Every few years I have to move cities so end up taking pictures of my board game collection for insurance purposes. I was particularly happy with the setup this time around located in the back of an L-shaped family space so I thought I'd share.
Collection Album - before the move
After day one. So long shelves!
For anyone curious, the large white cabinetry is the Ikea Besta line from when they first introduced piano finishes to the doors. The wood shelving is another great Ikea product when they moved their storage systems from slatted shelves to solid wood shelves, the things hold up an amazing amount of weight without bending compared to the MDF shelves.
I've been pretty fortunate to have always moved with my employer from city to city so I get to avoid the biggest problem with having and storing large collections. At this point it's gotten to the size where it will be impractical to expand much further so I've become slightly more selective in bringing games in, though have yet to pass on any games permanently out of the collection. The only exception has been the Unlock! series because they are designed to be shared.
How long have you been involved in the hobby? - I picked up on this thing called Catan about 15 years ago and had plenty of room mates to encourage building a decent basic collection from there. Since then I've kept current and probably have the collection about where I want it to be now.
What would I change about my collection? - I am still looking for ways to keep the collection attractive and present within a living space. I'm hoping to find a good basement in the new home that will allow for a continuous wall with high ceilings that would allow for more of a library style display. I'd also like to figure out how to decrease the stack height for various box groups as it's not as kind as I'd like to unsealed boxes. Regarding the collection itself, I'm fairly happy with the split of genres, play counts, game age, and player age. Unfortunately I've largely had to stop collecting LCGs as they tend to leave to the most sharp feelings of regret.
NeRFs are great, yet they are primarily used for interpolating views in single object scenes and have severely limited capabilities for extrapolating beyond the input views. Generative Scene Networks (GSN), proposed by Terrance DeVries and his colleagues at Apple University of Guelph and Vector Institute, learn to decompose scenes into a collection of many local radiance fields. This enables the model to be used as a prior to generate novel scenes or complete scenes from sparse 2D observations at higher quality than existing models.
Check out the full paper summary on Casual GAN Papers (Reading time ~5 minutes).
Subscribe to my channel and follow me on Twitter for weekly AI paper summaries!
NeRFs are great, yet they are primarily used for interpolating views in single object scenes and have severely limited capabilities for extrapolating beyond the input views. Generative Scene Networks (GSN), proposed by Terrance DeVries and his colleagues at Apple University of Guelph and Vector Institute, learn to decompose scenes into a collection of many local radiance fields. This enables the model to be used as a prior to generate novel scenes or complete scenes from sparse 2D observations at higher quality than existing models.
Check out the full paper summary on Casual GAN Papers (Reading time ~5 minutes).
Subscribe to my channel and follow me on Twitter for weekly AI paper summaries!
