Images, posts & videos related to "Nonlinear"

Can You Ever Be Too Smart for Your Own Good? Comparing Linear and Nonlinear Effects of Cognitive Ability on Life Outcomes journals.sagepub.com/doi/β¦

Quantum computers can process linear equations better than nonlinear... v.redd.it/bbz9ywq7xcf61

Nonlinear time in the afterlife.

We know Jeremy Bearimy means that "events can happen before the ones that happened before."

So maybe people can leave the afterlife, but also maybe they kind of don't... I was thinking about this because I thought it would be sad if you got into the Good Place to only learn that the person you wanted to see the most had got there before you and already left.

Jeremy Bearimy means that time loops and doubles back on itself so whenever you get to the Good Place would end up being the same "time" as anyone or everyone was also in the Good place. You could never really miss out on meeting your favorite people in the Good Place or it couldn't really be the Good Place.

Is there a measure for comparing two (nonlinear) curves?

I have two force-displacement curves (1 real, 1 simulated) for crushing of a material that I want to show are similar in shape (not necessarily magnitude). Is there a measure for doing this that encompasses the entire curve, rather than splitting the curve into parts (ex. yield point, elastic component) and separately analysing them?

Nonlinear Dynamics

Iβm a senior Mechanical Engineering student with a minor in math, I think I want to do math postgrad. Iβm in a course called Nonlinear Dynamics and Chaos right now - itβs freakin awesome I love it. Anyone in industry know where this stuff is heavily applied?

Thanks!

Solidworks nonlinear simulations

I've been diving into nonlinear FEA and I've found something odd. In a weird sort of science experiment, I wondered if a static and nonlinear FEA would return roughly the same results if the static assumptions were not violated in the nonlinear. Effectively, I ran the same simulation on the same part with the same settings in both a static FEA and then in a nonlinear equivalent FEA, yet the results are off from each other by about 15%.

Google has failed me, is there a internal mathematical reason why these FEA results do not match up? Maybe from using different algorithms to solve the FEA? Any leads or ideas would be appreciated.

Nonlinear narratives in The Fifth Season, Station Eleven, The Future of Another Timeline, and Children of Ruin - a comparative review

WARNING: there are no plot spoilers, but this post contains a spoiler about the structure of some of these books. If you're not comfortable with that, hit the back arrow. If you are, read onβ¦

https://preview.redd.it/d7kwno5h6pm61.jpg?width=1920&format=pjpg&auto=webp&s=03e0cf129b321005eb109f87f9933896018b6c1c

Several of the books I read for Bingo have this in common: they use multiple points of view happening at multiple points in time to tell their stories. There have already been a lot of reviews of these books, so I thought I'd do something different and discuss them all together, concentrating on that particular aspect.

The four books are N. K. Jemisin's *The Fifth Season* (book 1 of the Broken Earth trilogy), Emily St. John Mandel's *Station Eleven*, Annalee Newitz's *The Future of Another Timeline* and Adrian Tchaikovsky's *Children of Ruin* (the sequel to *Children of Time*)*.*

In *The Fifth Season,* time is as fractured as the landscape. We have three POV characters: Essun, Damaya and Syenite. At first it's not clear what is happening when, but as the book progresses it becomes obvious that the three parts of the story are taking place at different times. Eventually, we see how the three are connected: separate shards of story that reflect a central narrative, each from a different angle.

Jemisin handles this brilliantly. She doesn't make a big deal about it. The hints are there, but it's the reader that has to do the work. It's extremely satisfying to piece it together.

Everything from each narrative thread feels pertinent; nothing is out of place or extraneous. The tension between the different threads - and the way they eventually converge - is captivating.

*The Fifth Season* is very much volume one of a larger work, rather than a standalone with sequels; we don't get everything tied up neatly in a bow. The end of the book is more like an indrawn breath of anticipation than a satisfied sigh. But that's just in terms of the plot. There's another arc: the structure. And the payoff is excellent.

I expect it's better to read the whole trilogy back to back, and if I wasn't doing Bingo I would have moved on to the second book in the series immediately.

Emily St. John Mandel's apocalypse novel *Station Eleven* has five viewpoint characters - Jeevan, Arthur, Clark, Kirsten and Miranda - and we dip into various times in the lives of each one. The narrative passes from person to person like a virus, and it oscillates back and forth a

Applications of nonlinear optimization in control

Would a mathematics course in nonlinear optimization be useful in control or is it better to choose something more control oriented? My guess would be that it might be useful in nonlinear MPC?

Edit: Thanks for the response everyone. It seems like it will be useful both within and outside of control

Nonlinear plane transformation desmos.com/calculator/kyzβ¦

Nonlinear allpass filters

While browsing some open-source audio effect code for inspiration for my own project, I've come across several allpass filters with non-linear difference equations that produce rather unique sounds. These are technically classified as reverb effects *(edit: or maybe I got that mixed up - in any case, the example below does not produce reverb)*, but in practice they just modify the frequency spectrum in interesting ways.

Here's an example of one such filter's difference equation:

```
y[n+1] = x[n] * sin(t+3*x[n-1]-8*x[n-4]) + 0.8*sin(60*q*x[n-1])
```

where `t`

is the sample phase and `q`

is the filter resonance.

I was wondering how one arrives at a difference equation like this. Would this be derived from a transfer function, or just produced by testing various difference equations to see what effects they have? Does sine play a specific role here, or is it just used to produce non-linearities, and a different function like tanh could also be used? And most of all: how might you (roughly) characterize the transfer function based on the difference equation? It seems like adjusting the filter coefficients based on the sine of the inputs (not even scaled by pi) would produce pretty erratic results, yet this filter produce a very characteristic sound.

Heptapod C (or, my mostly nonlinear inkblot alphabet) reddit.com/gallery/ljivcj

[Q] Fitting a curve to nonlinear data with a priori knowledge of the shape

I had possibly the best conversation I've had on the internet in years with my last post. This is a great community. So I'm back again with more questions.

Let's say you have non linear data that you know is generated according to a rough "family" of curves that have very similar shapes. You know it's not a linear relationship, but perhaps shaped something very similar to a staircase: like so

Does there exist any methods that allow you find the "staircase-like" curve that best fits the data, which may be extremely noisy? The "vertical" lines of the staircase may not be perfectly straight, and the horizontal lines may vary in length.

Methods I have explored include KBins Discretization coupled with piecewise least squares, although this oftentimes creates "slanted" horizontal portions of the staircase. I actually want to regularize the regression in the horizontal intervals to be exactly constant, but not apply this constraint to the vertical lines of the staircase.

Cheers and have a great week.

Spicy nonlinear sabre fencing youtu.be/sOwZ_lrt1T4

True Romance-Darker nonlinear version with alternative ending (The Alabama Cut)

This Edit is a Darker nonlinear version of True Romance with more focus on Alabama.

This is not a Tarantino cut but some scenes comes in a nonlinear order.

This version has a darker tone and all scenes about Elvis is cut.

There's also some small music changes and some of the deleted scenes have been used including

the alternative ending with some modification.

The Running time is reduced from 1h 59min to 1h 46min.

The Edit is in 1080p and available as a Mega link

Private Message for a link and as always you must own the source (Blu-ray) of the original movie

Python vs Matlab for solving system of nonlinear PDEs

Iβm doing my research and have to solve a system of nonlinear PDEs and was wondering which one is better/easier to use: python or matlab. I have no experience using both so itβll be learning from scratch for both languages. Thank you for your input.

LMNT - Luna Metallurgy & Nonlinear Technology Homebrew Company [Release compatible] [.lcp download included] [Feedback Encouraged]

https://preview.redd.it/8cl31xn64zi61.png?width=216&format=png&auto=webp&s=134d06e424f970a2720be64bd19b1794ea56e6dd

**Luna Metallurgy & Nonlinear Technology - You Know When Youβre In Your LMNT.**

LMNT had humble beginnings as a mining station in an asteroid belt. The Luna Metallurgy Station primarily dealt with mining equipment and refining of heavy metals from the asteroid belt into something usable that the nearby planet could use. However, due to complications due to a pirate attack on the nearest blinkgate, destroying the structure and causing unstable ripples in the fabric of reality, and a simultaneous civil war that erupted on Selenis, the primary planet of the system, literally ripping the planet to pieces, Luna found itself in what seemed like an untenable position, sure that theyβd be lost to the harsh realities of space long before aid would arrive on their doorstep.

That was when they were saved by a most unlikely source: themselves from the future. Scholars continue to debate over whether the information contained within the data packet that appeared on the computer systems of the colony was an errant file launched through the blink, an actual, undocumented use of nonlinear time by a being in the future, or simple propoganda by the company to sell its products, but the results of the fileβs appearance were stark and complete. With instructions from the βLMNT of tomorrowβ they were able to print new factories, mining machinery, and even begin constructing the missing pieces of the blink gate, turning it back on from their side a full year before the UNION repair team arrived through realspace travel (much to their annoyance).

LMNT, as the station rebranded itself as it reconnected with the rest of the galaxy, didnβt simply return to mining operations and metallurgy. With no nearby planet, but with an active (and much closer, thanks to their own devices) blink gate, they became the main trading hub in the area, mining not only the asteroid field, but the remains Selenis, using the easy access to the metals of the core as they floated in the debris field, as well as any technologies and caches they found, to angle themself into a share of the market. While only supplying the economy of the one system, LMNT has created cutting-edge technologies, some of which are even more advanced than those the Big 5 have been producing. Some accuse the Luna station of hiding a Metavaultβs discoveries from the remains of the Selenis, while ot

... keep reading on reddit β‘Any interesting system of nonlinear equations in engineering?

I'm a mechanical engineering student taking a numerical methods course. One of the main objectives of this course is to learn how to solve systems of nonlinear equations numerically, so this week we have to present the system we want to solve for the final project, but I haven't took much of the advanced courses in the career so I'm having a hard time looking for such system. I'm not particularly inclined for any specific topic, so if you can help me giving me any clue of where to look for (any book, web page, etc ) information, or subject or famous problems I would be really grateful!

Pd: the thing is that we need to explain the problem that yields the system. That's why I can't just make up one.

How does Wolfram Alpha solve systems of nonlinear equations?

So I've been playing around with using Newton's method to solve systems of nonlinear equations (with the Jacobian matrix and a little linear algebra)

But I'm having a hard time believing that that is Wolfram Alpha's method for solving these systems.

When I construct a system with some hand-picked integer solutions, Wolfram not only instantly finds that solution, it finds a bunch of others as well, including properly complex solutions.

See here: https://i.imgur.com/Qst0brL.png

This is amazing to me and I'd love to know how it's done (roughly) so I could maybe try to implement it in code.

Btw, I tested all of WA's real solutions in desmos and they all held up perfectly. I'm sure the complex ones do as well.

P.S.: if anyone can tell me a quicker way to take the contents of my clipboard and make it linkable for a post in a way that is quicker than having to paste it into ms paint, save the file, then upload/drag it to imgur, I would appreciate it greatly.

Climate Sensitivity on Geological Timescales Controlled by Nonlinear Feedbacks and Ocean Circulation [2019] agupubs.onlinelibrary.wilβ¦

From the "usage" examples of a framework for nonlinear optimal control

Thoughts on Nonlinear Circuits Null-A2

Does anyone have experience with the Nonlinear Circuits Null-A2? There are very few reviews or demos.

https://www.nonlinearcircuits.com/modules/p/null-a

I'm looking for a compact, feature-rich semi-modular to get my first rack started. Comparing it to the Pico III and SV-1 β though I like the sound of the A2 better, as well as the fact that it has fewer normaled circuits than the SV-1.

Checking out the new Nonlinear Filter Snapin from Kilohearts! youtube.com/watch?v=2Vmx0β¦

reccomend the most nonlinear going second deck

does not need to be meta

Checking out the new Nonlinear Filter Snapin from Kilohearts! youtube.com/watch?v=2Vmx0β¦

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Got hugely interested in nonlinear stuffs - guidelines?

Hello,

I will be entering my university education this fall. Although I've mostly applied as a CS major (and some Industrial Engineering), I've recently got hugely fascinated with mathematics and physics. Particularly, the nonlinear dynamics chapter of my classical mechanics book is truly interesting for me; it's hard, full of mysteries, yet *very* realistic.

If I were to study nonlinear systems during my education, what are the courses that I *must* enroll in? I'm not sure if I'm willing to give up my CS degree, as I still find ML attractive & its career prospects as well. I am done with Calculus and intro-level physics as of now, and currently studying classical mechanics, E&M, and some analysis using Abbotts book (Definition of R, Cantor stuff, etc...).

Any advices appreciated! If you are doing anything related to real-life modelling besides nonlinear, please introduce me that field as well!

Revived my starter after a longer break from baking and accidentally made a nonlinear bread. I only mixed the ingredients, left it out overnight. In the morning I shaped the bread put it in the fridge and baked it in the evening. ~68% hydration

Nonlinear perception of Tony

Romu: Fast Nonlinear Pseudo-Random Number Generators Providing High Quality romu-random.org/

Brms: adding on a nonlinear component to working MLM model /r/AskStatistics/commentsβ¦

OHE for nonlinear regression?

If I am trying to add categorical values like month as a feature to a nonlinear regression model (e.g., spline, GAM), do I need to one-hot encode any categorical values?

I already have a month variable mapped as a factor/ordinal column, but I also have other multi-categorical variables that aren't mapped to a discrete number. Would I be fine with an ordinal encoding/label encoder or do I need to go with OHE for nonlinear regression in R?

Nonlinear dynamics / chaos applications in social or behavioral sciences

When I graduated from my undergraduate program, I was burned out on math. I fell out of love with writing proofs and solving problem sets when I somewhat arbitrarily took a course on nonlinear dynamical equations. I fell in love with chaos! The beauty of the science really took hold in my heart. It was too late at that point to pursue further education in the subject, so I've been nursing a soft spot for the past 15 years or so.

Without going into too much detail, it's entirely possible that I'll be able to safely quit my job and possibly apply to a PhD program probably around 3-5 years from now. I'll be coming into quite a bit of money, so I can put my career on hold for a bit.

I'm toying around with the idea of going back to study applications of chaos to subjects of behavioral or social sciences. In particular, I have some ideas about applying those ideas to voting behavior. I've been out of academia for a long time, so I'm out of touch with good resources for looking up published research at the intersection of my interests. Does anyone have any good suggestions on where to start looking? I've Googled a bit, but my searches are coming up a bit dry.

Thanks!

Prediction of Novel van der Waals Boron Oxides with Superior DeepβUltraviolet Nonlinear Optical Performance

Deepβultraviolet nonlinear optical (DUV NLO) materials and their predictions are attracting increasing attention because of their structural diversity and complexity. Using the twoβdimensional (2D) crystal structure prediction method combined with the firstβprinciples calculations, here we discovered new van der Waals (VDW) layered 18βmemberedβring (18MR) boron oxide B 2 O 3 polymorphs as highβperformance NLO materials. 18MRβB 2 O 3 with the AA and AB stackings are potential DUV NLO materials. The superior performing AB stacking results in an unprecedentedly high second harmonic generation coefficient of 1.63 pm/V, the largest among the NLO materials with a DUV absorption edge and being three times larger than that of the advanced DUV NLO material KBe 2 BO 3 F 2 and comparable to that of Ξ²βBaB 2 O 4 . The AB stackingβs unusually large birefringence of 0.196 at 400Β nm guarantees the phaseβmatching wavelength Ξ» PM to reach this materialβs extreme absorption edge of ~154Β nm. The performance can be tuned by varying the layer stackings in 18MRβB 2 O 3 , which provides an efficient approach for further enhancement. We predict that excellent NLO properties of VDW crystals can be explored in 2D and 3D with promising possibilities.

https://ift.tt/3uv8EtV

Using simple curl noise to illustrate transformation of a nonlinear system to linear v.redd.it/rp3elewuwcf61

A DeepβUV Nonlinear Optical Borosulfate with Incommensurate Modulations

Despite borateβsulfates composed of isolated borate and sulfate groups have been discovered for more than one century, borosulfates of BβOβS bonding have not been synthesized until 2012 and their properties remain rarely explored. Here, we report a new borosulfate, namely LiRb4[B(SO4)4], which shows potential as a branβnew class of deepβUV nonlinear optical (NLO) material. Remarkably, according to the inβsitu singleβcrystal Xβray diffraction, Β LiRb4[B(SO4)4] undergoes successive firstβorder phase transitions with incommensurate structural modulations under room temperature and low temperature with (3 + 1)D superspace groups of X2(Ξ±0Ξ³)0 and P21(Ξ±0Ξ³)0, respectively. The firstβprinciple calculations and structural analyses reveal that NLO properties, phase transitions, and incommensurate modulations are closely related to the [B(SO4)4]5βΒ superβtetrahedral units with BβOβS bonding. We anticipate that the unprecedented coexistence of deepβUV transparency, NLO responses, and incommensurate structural modulations in one borosulfate will bring new possibilities to understand the underlying concepts of physics and chemistry in aperiodic materials.

https://ift.tt/2PH2KFX

Distinguishing between a linear and nonlinear system by step response function

[P] Deep learning multivariate nonlinear regression

Does deep learning really work for regression tasks? I mean, I know it could in theory. But Iβve never seen anyone do it (at least in quant trading). Everyone wants to convert regression tasks into classification tasks first, which seems odd to me. At a deep learning summer school I attended years ago, I was chatting with Hugo Larochelle, and I shared with him my observation. Surprisingly, he didn't jump to the defense of DL regression and instead made some comment like maybe back propagation struggles with the more strongly varying y variable ... (I forget exactly what he said).

I really want DL regression to work. My own experimentation hasnβt gone well, so Iβm hoping to get some help. Iβm currently trading in my personal account, and I have one model in particular that is pretty good. If anyone is willing, Iβd like to see if you can beat it or match it with a neural network.

So, Iβd like to hold my own little (Kaggle-like) competition. Hereβs my plan:

- The prize is $599 (any more and Iβd need to mess with IRS 1099 forms).
- It will be paid out through Zelle to a US bank account to the winner on February 20, 2021.
- Only one submission per person.
- I will choose one winner entirely subjectively, but basically you want to correctly predict strong y values.
- Please email me for the data: [email protected]
- I will send you two Numpy npz files. The first has a design matrix for training, with 31 unnormalized and non-orthogonal features. It also has weights and y-values. There are 43,266 rows, sorted chronologically.
- The test data will only have the design matrix, in the same format. It will have 19,588 rows representing the out-of-sample time period following the training period.
- For your submission, please email me back your predictions on the training set and on the test set in an npz file.
- Iβm asking the winner to walk me through their code, so I can learn.

I appreciate your help, and Iβm sorry I canβt pay out more.

How could I do this character that has a nonlinear view of time.

Hey what can be some interesting ways to write a character that has a non-linear view of time. Like she or he sees an eternal present, no past, nor future.

True Romance-Darker nonlinear version with alternative ending (The Alabama Cut)

This not a Tarantino cut but some scenes comes in a nonlinear order.

This version has a darker tone and all scenes with Elvis is cut.

There's also some small music changes and some of the deleted scenes have been used including the alternative ending with some modification.

The running time is reduced from 1h 59min down to 1h 46min.

The edit is in 1080p and available as a Mega link.

PM for a link and as always you need to own the source (Blu-ray) of the original movie.

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