There have been plenty of good books on black holes, such as Marcus Chown's A Crack in Everything but it's a subject that will always benefit from a different take, and Jonas Enander manages to bring in some new viewpoints as well as exploring the basics of the concept well. After a journey into a black hole described (with the observer's inevitable destruction), we jump back to Michell's dark stars, then start to get the theoretical basis from Einstein and Schwarzschild alongside observational work. This starts, interestingly, with supermassive black holes before getting onto the common or garden variety. Enander's writing style is light and conversational - no danger here of being overwhelmed with technicalities. It's good, readable stuff. In some ways the most interesting part of the book is the final section that addresses the subtitle 'black holes and our place on Earth'. This (admittedly sometimes at quite a stretch) tries to link the study of bla...
Ever since computers became useful tools, mathematicians have had mixed opinions about using the technology to solve mathematical problems. Obviously this is particularly topical when we look at what AI can (and can't) do - but there are plenty of opportunities for the brute force of computing to deal with a tricky mathematical road block, and that's what Paul Nahin sets out to cover here. I'll say straight up front that I think this book would have been better and would have had a wider audience if it had not made excessive assumptions of what a reader knows. In his introductory chapter, Nahin says 'There is nothing in this book that attentive high school students who have taken an AP-calculus or AP-statistics class will find beyond them. This assumption lets me, for example write (as I do in the first chapter) the symbol X without explanation with the expectation that a reader will instantly recognise it as denoting the binomial coefficient...' (I have written X h...