(Part 2) Best products from r/algorithms

I used this book which used python instead of psuedo-code. I'm not a computer science student (applied math) and python was the language I had picked up on my own. It does a great job of hitting the ground running and providing good exercises and solutions for self learners.

Cormen is considered the classic text, according to all my computer science friends, but I find that book needs to be used in conjunction with a lecturer to explain it. That's just me, and again computer science isn't where my training is so this opinion will be very different I'd imagine, depending who you ask.

A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills

I just started this but this book is very beginner friendly and includes examples in ruby, JavaScript, and python.

I personally like Skiena's book
The Algorithm Design Manual
https://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1848000693

If you already studied algorithms but need a quick refresher, Algorithms in a Nutshell is good.
https://www.amazon.com/Algorithms-Nutshell-OReilly-George-Heineman/dp/059651624X/ref=sr_1_3?s=books&ie=UTF8&qid=1496051402&sr=1-3&keywords=algorithms+in+a+nutshell

GLPK is a commonly used library in a number of programming languages(R, Python, etc.) and Excel has a limited ability to do these problems.

If you want to take an Excel approach, I once took a class that used this book: https://www.amazon.com/Optimization-Modeling-Spreadsheets-Kenneth-Baker/dp/0470928638

I've never tried those problems but this book helped me a lot improving my algorithmic problem solving skills.

I suppose this might be something along the lines of what you're looking for:

Algorithms to Live By: The Computer Science of Human Decisions

It is hard to decouple algorithms from programming and mathematics, but my brother who is neither programmer nor mathematician as well read that book.

Don't know if it was good though.

You usually do see stuff you've never seen before when you're learning something new.

Checkout:

• Data Structures and Algorithms made easy
  
• The Algorithm Design Manual
  
• Algorithms and Programming this is a bit raw
  
• Kahn Academy - Algorithms
  
  It's going to take some time, so be patient, don't rush yourself. Don't beat yourself up if you aren't learning as fast as you like, it's not a race.
  
  Keep on truck'n!

Generally after CLRS you should be ready to read TAOCP. But if you still feel insufficient, Professor Knudth has another book that you can look into to enhance the math background - Concrete Mathematics: A Foundation for Computer Science.

I’m currently reading through a book by Robert Lafore, called “Data Structures & Algorithms in Java.”

I’m learning a lot and it’s really helping reinforce what I learned in class and filling in gaps I missed.

Link: https://www.amazon.com/Data-Structures-Algorithms-Java-2nd/dp/0672324539/ref=sr_1_1?crid=76STTU4P9H2T&keywords=data+structures+and+algorithms+in+java&qid=1557891534&s=gateway&sprefix=data+structures+and%2Caps%2C198&sr=8-1

http://www.amazon.com/Knapsack-Problems-Implementations-Wiley-Interscience-Optimization/dp/0471924202/ ?

http://www.amazon.com/Computer-Programming-Volumes-1-4A-Boxed/dp/0321751043/ - use this, and you won't need anything for a while.

1. The art of computer programming - https://www.amazon.com/Computer-Programming-Volumes-1-4A-Boxed/dp/0321751043
   
   
2. CLRS - https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844

A good lightweight introduction: Programming Collective Intelligence

If you'd like a single, but more difficult, reference that covers much of the breadth of machine learning: Machine Learning: A probabiliistic Perspective

Hi, if you want to look further into the swarm based approach, Gianni di Caros Thesis is a good resource. Chapter 3-5 cover combinatorial problems and the ACO metaheuristic. http://www.idsia.ch/~gianni/Papers/thesis.pdf

I am currently reading http://www.amazon.com/Ant-Colony-Optimization-Bradford-Books/dp/0262042193/

The practical application of the metaheuristic to a lot of problems is described there. This may help you with your problem. Voices whisper you can find this as a pdf on the internet - I bought it though...

This isn't the most direct answer; /u/jpfed gave you that. The interior point methods used for these things can be fairly quick in practice.

The theory, mathematically, however is covered in Convex Optimization and Combinatorial Optimization

These are extremely common types of problems in the fields of economics and operations research.

Oh man, you thread has wrecked my day. You're question prompted me to pull down an algorithm book from a collage class I had about 8 years ago. Out fell some 3x5 cards with algorithm names and short notes summing up the algorithm. I'd written the cards to get ready for tests.

I looked through the cards, then looked at my task list for the day and it made me want to cry. I've been doing bullshit busy work so long in corporate America I've forgotten almost everything I ever learned in collage.

If you love programming, work for a small company when you leave college. If you're incompetent and only looking for a paycheck, go work for a corporation.