Introducing Rigor to my existent knowledge (Calculus and Linear Algebra)

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A Mechanical Engineering major is seeking to deepen their understanding of rigorous mathematics, particularly in Calculus and Linear Algebra, to prepare for graduate studies in Computational Mathematics. They have completed three calculus courses but lack exposure to rigorous concepts like epsilon-delta definitions, making it difficult to engage with advanced topics such as Nonlinear Optimization. Recommendations include looking for concise calculus lecture notes online and considering books like "Mathematical Methods for Scientists and Engineers" by McQuarrie. Although the user expresses a desire to avoid lengthy texts like Apostol and Spivak, suggestions also highlight Spivak's effectiveness in developing abstract mathematical thinking. The discussion emphasizes the importance of finding resources that balance brevity and rigor to facilitate a smoother transition to advanced mathematical concepts.
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I am an Mechanical Engineering major and just recently I found myself to be very interested in Computational Mathematics. I have taken the typical 3 courses on Calculus but the problem is that since they were being taught majorly to an engineering audience, no one bothered with the epsilon deltas. I know how to find limits, differentiate weird functions and integrate improper integrals but when I try to read research on Nonlinear Optimization or Numerical Linear Algebra, I am unable to follow the math because of its rigor.

I have some time to work on this before joining graduate school and wanted a recommendation for a good book that would allow me to revise the 3 semesters of calculus while simultaneously improve my ability to read and write rigorous proofs. However, I don't want a book like Apostol or Spivak (which run for thousands of pages) because I already know a lot of Calculus and honestly, it gets boring.

My goal is to finish revision and introduction of rigor as quickly as possible and move on to more advanced stuff that I am currently stuck on (Boundary Value Problems in Fluid Mechanics, NLA and Optimization to name a few)

I already have Apostol and Kenneth Ross but the former is tooooooo long and the latter (I believe) stops abruptly.

Any suggestions?
 
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I'd suggest to search the internet for calculus lecture notes - they are usually more concise than books, covering the most important topics at the same time.

Another option would be to get a book similar to "Mathematical methods for scientists and engineers" by Donald Allan McQuarrie. Such books are one thousand pages long, however, they cover a lot of different topics, that are the most important to engineers.
 
I find your post a little confusing, you say that you have trouble following the more rigorous texts and yet you wish to avoid Spivak (Which does not run for anywhere over 400 pages, I don't have it around me right now). Spivak is very good at getting one used to more mathematically abstract thinking. You wish to learn epsilon-deltas, well Spivak is an ideal place to begin, did you even take a look at Spivak at your library?

In any case, if you want a rigorous linear algebra book, you could try Friedberg, Insel and Spence; or if you've taken some abstract algebra (most engineering majors around here don't) then Hoffman and Kunze is also great; lastly you could look through Hefferon's free linear algebra book, it is also quite nice.

Good luck!
 
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