The biggest strength of this book is the huge number of problems and exercises. Pretty readable, but not great for developing geometric intuition. SomThe biggest strength of this book is the huge number of problems and exercises. Pretty readable, but not great for developing geometric intuition. Some unconventional choices about the order in which the material is presented (dimension, surjection, injection, and isomorphism come very late, while eigenspaces appear early). All in all, maybe my favorite introductory linear algebra text....more

sarah-marie belcastro's style is unique in all the world. She manages to convey important mathematical ideas to relative newcomers, and she does it in a way that is all her own. The book is playful and surprising, but she is a real mathematician and the mathematics is serious. It feels a bit like being taught mathematics over tea with a dormouse and a mad hatter by a teal-haired magician.

It's a minor miracle that she manages to present everything so informally and conversationally while having it be formally correct. The presentation can feel slightly unhinged, and feeling like you are wandering through a mathematical fairy tale (examples include cruel ogres distributing cupcakes to baby mice, and a deliberately and subtly flawed proof that all ducks are grey) might not agree with everyone, but I find it beautifully nonconformist and compelling. I am so glad this book exists. ...more

Good (very) basic introduction to the analysis of uncertainty. Written with undergraduate physicists in mind, and he does a good job communicating theGood (very) basic introduction to the analysis of uncertainty. Written with undergraduate physicists in mind, and he does a good job communicating the intuition involved in handling uncertainty. Good for anyone who wants the motivation but doesn't need the mathematics behind the machinery. And it's definitely got one of the top 10 textbook covers of all time....more

This is a decent introduction to modeling infectious disease, but very heavily skewed toward differential equations models. It's too bad that people wThis is a decent introduction to modeling infectious disease, but very heavily skewed toward differential equations models. It's too bad that people who learn this stuff coming from the disease/medical/epidemiology side come away from the impression that THE mathematical tools for modeling infectious disease are difference and differential equations. The token chapter on stochastic models is so scanty as to be almost useless. They devote a tiny subsection to agent-based ("individual-based") models. The mathematical level is very basic (if you've had calculus you'll be fine). On the plus side it's an easy read, and it's pretty fun to say and/or write "Vynnycky"....more

I'm going to use this next term. I've never used it, but it looks pretty great. Plus it's supercheap ($30) and available online for free through the lI'm going to use this next term. I've never used it, but it looks pretty great. Plus it's supercheap ($30) and available online for free through the library. And the coauthor is Pelikan, which is just a superior name.

If anyone out there has used this before, I'd love feedback on how it went and what you thought....more

This is pretty much my least favorite field of math, I have a kind of shamefully weak background here, and I only picked this up because I had to backThis is pretty much my least favorite field of math, I have a kind of shamefully weak background here, and I only picked this up because I had to backfill gaps to prove convergence (iterative procedures, blah blah blah). But the truth is it's been pretty interesting reading up on this stuff. Not my specialty at all, but I think I start to see the appeal (it's like applied analysis, or a theory of numerical tricks). And believe me nothing else I've seen on numerical methods ever made me see the appeal. Maybe I can stop avoiding this stuff like the plague?...more

A favorite of mine. I ran into Lemons on the streets of Los Alamos. He seemed happy to see me, despite having no apparent idea who I was. You have toA favorite of mine. I ran into Lemons on the streets of Los Alamos. He seemed happy to see me, despite having no apparent idea who I was. You have to like the people who are happy to see strangers again....more

I read this in one day in preparation for an exam in a biophysics course I'd registered for and then forgotten (you know that dream... it actually *haI read this in one day in preparation for an exam in a biophysics course I'd registered for and then forgotten (you know that dream... it actually *happened*.)

Kind of a hard book to classify. As a textbook it's not very texty. As literature it's not very good.

In the end i'm going to go with textbook since it has like discussion questions and stuff, and any book with discussion questions that isn't a special cheesy book club edition or a faux-intellectual novel by Marisha Pessl is (in my opinion) a textbook.

I knew it was time to go back to school when I was so desperate for some kind of analytical thought that I found this in a used bookstore in SomervillI knew it was time to go back to school when I was so desperate for some kind of analytical thought that I found this in a used bookstore in Somerville and read it cover to cover....more

this book is a decent read and a horrible reference. i had the feeling i was being taught analysis by someone's weird hippie uncle (remember dharma'sthis book is a decent read and a horrible reference. i had the feeling i was being taught analysis by someone's weird hippie uncle (remember dharma's father from dharma and greg?) ...more

a great overview of some mathematical models relevant to the nervous system (electrical impulse initiation and propagation in excitable cells). graduaa great overview of some mathematical models relevant to the nervous system (electrical impulse initiation and propagation in excitable cells). graduate level text that assumes some comfort with physics and mathematics....more

a very basic and applied book on probability models. if it were me, i'd read drake's book on probability to get the basics and then go straight to a ma very basic and applied book on probability models. if it were me, i'd read drake's book on probability to get the basics and then go straight to a more advanced text on whatever you're interested in (markov chains or probability theory or stochastic processes or queuing theory or whatever) and skip this thing....more