A list of links to useful mathematical textbooks available for free on the Internet. They are all legal and maintained by their authors or by the legitimate publisher.
All the documents are in English. They are in a printable format - Postscript or Adobe Portable Document Format. You are free to download, read and print them. Here are some links to other sites offering lists of free mathematical textbooks.
For any comments, please, contact me: [email protected]
| # train_grpo.py | |
| # | |
| # See https://github.com/willccbb/verifiers for ongoing developments | |
| # | |
| """ | |
| citation: | |
| @misc{brown2025grpodemo, | |
| title={Granular Format Rewards for Eliciting Mathematical Reasoning Capabilities in Small Language Models}, | |
| author={Brown, William}, |
| import sys | |
| from io import StringIO | |
| import streamlit as st # pip install streamlit | |
| from code_editor import code_editor # pip install streamlit_code_editor | |
| import ollama as ol # pip install ollama | |
| st.set_page_config(layout='wide') | |
| st.title('`Offline code completion`') |
| """ | |
| A minimal, fast example generating text with Llama 3.1 in MLX. | |
| To run, install the requirements: | |
| pip install -U mlx transformers fire | |
| Then generate text with: | |
| python l3min.py "How tall is K2?" |
| package main | |
| import ( | |
| "encoding/json" | |
| "fmt" | |
| "io/ioutil" | |
| "os" | |
| "os/user" | |
| "path/filepath" | |
| "strings" |
| #!/bin/bash | |
| # Ollama Model Export Script | |
| # Usage: bash ollama-export.sh vicuna:7b | |
| # License: MIT (https://ncurl.xyz/s/o_o6DVqIR) | |
| # https://gist.github.com/supersonictw/f6cf5e599377132fe5e180b3d495c553 | |
| # Interrupt if any error occurred | |
| set -e | |
| # Declare |
Replace natbib by biblatex to get citation links
\usepackage[backend=bibtex, style=authoryear-comp, natbib=true, sortcites=false]{biblatex}
\addbibresource{main.bib}
% optional if you want (Smith 1776) instead of (Smith, 1776)
\renewcommand*{\nameyeardelim}{\addspace}
\begin{document}
| def energy(z, n, m, L): | |
| return np.cos(n* np.pi *np.real(z) / L) *np.cos(m *np.pi*np.imag(z) / L) - np.cos(m*np.pi*np.real(z)/ L) *np.cos(n* np.pi *np.imag(z) / L) | |
| class ChladniPlate: | |
| def __init__(self, n, m, L=1, n_particles=10000): | |
| self.L = L | |
| self.n_particles = n_particles | |
| self.n = n | |
| self.m = m |
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