differentiation | Implementing TensorFlow from Scratch | Machine Learning library

I see the current chapter of Underactuated: System Identification and the corresponding notebook, and it currently does it through symbolics.

I'd like to try out stuff like system identification using forward-mode automatic differentiation ("autodiff" via AutoDiffXd, etc.), just to check things like scalability, get a better feel for symbolics and autodiff options in Drake, etc.

As a first steps towards system identification with autodiff, how do I take gradients of MultibodyPlant quantities (e.g. generalized forces, forward dynamics, etc.) with respect to inertial parameters (say mass)?

• Note: Permalinks of Underactuated chapter + notebook at time of writing: sysid.html, sysid.ipynb

i have a 2D numpy array. I'm trying to compute the similarities between rows and put it into a similarities array. Is this possible without loop? Thanks for your time!

Ceres solver states everywhere that it can

[...] solve robustified bounds constrained non-linear least squares problems

and that it supports upper and lower bounds constraints on the parameter blocks (for example in http://ceres-solver.org/modeling_faqs.html it states Ceres Solver only supports upper and lower bounds constraints on the parameter blocks), but somehow I can't find anywhere in the documentation how I can set these upper and lower bounds.

So, how do I set upper and lower bounds for parameter blocks in ceres solver?

Specifically, how do I do that in an AutoDiffCostFunction? If I use if statements to return a very big residual out of bounds, then that function isn't differentiable.

For example, this is the ceres Hello World:

This has really got me confused. See the two demos below:

I am to understand how tensorflow differentiation behaves when applied on elements of vector. Here is my code

I'm working on a program in C which is intended to store information pertaining to a car rental business (reads in information in a loop, and outputs each entered customer per iteration, once the loop breaks, some average statistics are calculated and returned), I've had little issues up until I've tried to add calculations for the averages displayed in the end of the program and a few new variable pointers (and variables in main to adjoin) to facilitate this

My values for name, license, serviceCost, dayCount3, totalIncome all seem to pass and output correctly.

However, my values for dayCount1, dayCount2, avgdays do not and seem to return arbitrary information (it looks like a memory address as an int, but I'm not certain)

As far as i can tell, there is no differentiation in how i treat the pointers and their associated variables which do pass as expected and those that do not. I am new at working with pointers and have only had experience in C# and Java previously in which I've never worked with pointers.

Here is the code I'm currently working with.

this is my website that I am developing, and I trying to develop a calculator which depending on the subject and equation your are trying to use, the calculator will give you an answer.

I made two dropdown menus, however, when I hover over the "Physics" menu, for some reason the "Maths" menu is covered. Also, the list for "Physics" is a bit too long and I wanted to make a scroll bar, but I don't know how to.

I tried to look on w3schools and other resources, but I couldn't find a solutions which solved my problem.

I'm trying to make to make my first website with html and css (and js later). I want to make a calculator with a dropdown menu, but I'm struggling to make the dropdown menu as when it is hovered over, the dropdown list covers the menu.

I have this data frame and table: