Explore >> Select a destination
|
You are here 
|
lapinozz.github.io | ||
| | | | |
www.danieldemmel.me
|
|
| | | | | Part two of the series Building applications using embeddings vector search and Large Language Models | |
| | | | |
inquiryintoinquiry.com
|
|
| | | | | Re: R.J. Lipton and K.W. Regan ? Proving Cook's Theorem Synchronicity Rules? I just started reworking an old exposition of mine on Cook's Theorem, where I borrowed the Parity Function example from Wilf (1986), Algorithms and Complexity, and translated it into the cactus graph syntax for propositional calculus I developed as an extension of Peirce's... | |
| | | | |
accodeing.com
|
|
| | | | | ||
| | | | |
almostsuremath.com
|
|
| | | I start these notes on stochastic calculus with the definition of a continuous time stochastic process. Very simply, a stochastic process is a collection of random variables $latex {\{X_t\}_{t\ge 0}}&fg=000000$ defined on a probability space $latex {(\Omega,\mathcal{F},{\mathbb P})}&fg=000000$. That is, for each time $latex {t\ge 0}&fg=000000$, $latex {\omega\mapsto X_t(\omega)}&fg=000000$ is a measurable function from $latex... | ||
