I'm looking for ones that discusses the following:

• Limits, Differentiation and Integration
• Linear Systems and Transformations
• Vector Spaces
• Determinants
• Eigenvalues

thanks!!!

I am an undergraduate student, I am going to start reading group on analysis as second course so if anyone interested DM.

Textbook:

1. Tao I and Tao II
2. Rudin for excercise
3. Carothers Real Analysis book

I hope you all are doing well! I am currently trying to deepen my understanding of some equations connected to the Pearson correlation coefficient, but I am having a bit of trouble grasping how they are equivalent. Specifically, I'm looking at the following equations:

r xy = r yŷ (that is, the bivariate correlation between x and y equals the bivariate correlation between y and ŷ )
r ^2 xy =S^2ŷ /S^2y ((which says that the squared correlation between X and Y equals the ratio of the variance of the predicted scores over the variance of the observed scores on Y.)
I understand the basic idea of the Pearson correlation coefficient r and how it measures the linear relationship between two variables. However, I'm struggling to see how these equations transform and show that they are equivalent.

Could someone kindly break down these equations and show through transformations that they indeed represent the same elements respectively? Any insights, step-by-step explanations, or examples would be invaluable to my understanding.

Thank you so much in advance!

Title pretty much. Doesn't matter if the book is proof-based or not, just looking for recommendations for a good textbook/resource for a first pass at ODEs

Im going to study pure maths at Vrije Amsterdam. I have started studying ahead Real Analysis by Stephen Abbott and im fucking clueless. Does anyone have any tips n tricks or resources i could use for studying pure maths. Another key element that s making me extra scared is the fact that Pearson Edexcel A levels dont teach u alot of important fundamentals that u need for Pure maths in comparison to a greek or dutch elysium , i.e wtf is a triangular inequality? Please i need help 0_0

I am undergraduate student pursuing mathematics and now I need explore mathematics on internet so I want discord servers as much as. Please help me to join discord server.

Okay, my one sentence question asking skills is horrible which is why I am avoiding quora and Google. I'm currently a bored engineering undergrad on summer break (no internships and you're allowed to boo me, pi = 3) that came across this bizarrely random question in my head.

If how much/total number of something is a 1d value, then area is a 2d value, and volume is 3d. The respective formulas would be l, l * w, and l * w * h. What would this fourth dimension value be called and what would be the name or measurement for this fourth value?

If you're confused about what I am asking call me a dipshit and I will try my best to explain further. It would also be nice to know the names and measurements for other higher dimension values.

Welcome to the fascinating world of combinatorial logic!

Learn Combinatorial Logic Step by Step

In this video, you will discover the origin of this powerful formal system and explore the key concepts of bound variables, free variables and constants.

Whether you are a curious beginner or a computer science student, this video will guide you step by step in learning combinatorial logic.

https://youtu.be/9SlYrFd_1UQ?si=uUSOEBiuBMb9TH0p

#logic #combinatorics #calculation

This here?

Hi got excited about time coding and projective resynthesis. I just learned about how there’s a lot of undeniably well nested phonetic associations related to lambda cauculus over common computer phrases… this lead to a paper citation “progressive anagrams 1974 Collins” https://www.cavemanchemistry.com/anagram/ the paper has made a magic vanish from google search. What’s the deepest significance of this result. Is it that all words said in our languages have been recompiled or computationally formed?

Within this conversation some wise scientist sorts told me about mind reading and science and then opened my mind to power law calculation… which my weak math sense will relate as “approximation by xlr di box injection” within this conversation was the consideration that all media can be sampled within our memory threshold… including the answer sets to progressively repheased (wrote reprogrammed and my phone seems to be teaching me cs with autocorrect again). Anyways these smart scientists brought up example after example of solved problem we waste time on including the infinite iq problem and the shared thought server.

Because I wasted so much time computing when I could have rhymed what’s the best way to practice mathematics? It seems like we need to engage a native mathematical sense akin to a matrix api or brain portal… can we agree pencil and paper method is not fast at least….

On this note can someone link the correct name of cross linked script (chairo page rxo page from libdesfarne gospel) I’ve heard these spell the purer form of proofs and solve crosswords discreetly (could this be partially true on the last account but only marginally more difficult with “synthetic” compute resources)

Finally what is the appropriate language for studying time formally and litterally can it even be thought in English my native implementation?

This leads to the confusion between rhyman’ analysis and more classical Reimannean comparison…. How is rhyme scheme matching performed and is there database of the fundamental algorithms in pseudo code?… does each have an best language to declare it in?

Finally what’s a time wave and what does it do? Thank you getting excited about math finally how do I collaborate mentally? When did you guys start doing so?

We are passionate pure logic research team in Tokyo - working on ZFC/NF

I'm currently delving into curve fitting in Python and have come across three different methods: 'lm', 'trf', and 'dogbox'. Each of these methods seems to have its unique characteristics and applications, but I'm finding it challenging to grasp the practical differences between them.

Could someone provide a clear explanation of how 'lm' (Levenberg-Marquardt), 'trf' (Trust Region Reflective), and 'dogbox' differ from each other? Specifically, I'm interested in understanding the scenarios or types of problems where one might be preferred over the others. An example to illustrate the key distinctions and practical applications of each method would be incredibly helpful.

I'm looking for insights that can help me decide which method to use in different curve fitting scenarios. My goal is to achieve the best fit for my data with an understanding of the advantages and limitations of each method.

Thank you in advance for your time and assistance!

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https://preview.redd.it/40jq1vxs9onc1.png?width=692&format=png&auto=webp&s=a3248fe2c8e9248fab17a3d0815881529eb111d9

i’m looking for some good online notes to accompany a course i’m taking on Lie Algebras, because my professor’s notes are a bit too dense

any recommendations much appreciated

Hi! Is there any book or online courses that teach commercial mathematics? Calculation and figures from a business/industrial point of view.

I need a book similar to "Everything You Need to Ace Math in One Big Fat Notebook," but for Calculus.

This book was perfect for me, but I have an exam in Functions, Limits, Continuity, Derivatives, and Applications of Derivatives.

Despite my poor reading and English skills, this book greatly helped me. I prefer reading to video tutorials. Can you recommend a book?

"Calculus For Dummies" and "Calculus Essentials For Dummies" aren't what I'm looking for.

if someone has the answers of the 5th chapter of this book kindly snd mee

its urgents

its urgent avance