Successive Linear Programming (SLP) algorithms solve nonlinear optimization problems via a sequence of linear programs. They have been widely used, particularly in the oil and chemical industries, ...

Many sequential decision problems can be formulated as Markov decision processes (MDPs) where the optimal value function (or cost-to-go function) can be shown to satisfy a monotone structure in some ...

You will note things like [Cormen] and [Manual] in the code comments, they are the books I used when writing the code: [Cormen]: Introduction to Algorithms, 3rd Edition, by Thomas H. Cormen, Charles E ...

Algorithms are the universal building blocks of programming. They power the software you use every day, whether it's a spreadsheet, a social network, or a driving assistant. Algorithms offer a way to ...

Master advanced algorithm design techniques to tackle complex programming challenges and optimize application performance Key Features Develop advanced algorithm design skills to solve modern ...

Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...

In summary, whether you're working on data-driven algorithms, system-level programming, or web applications, there's a language out there that's ideal for your needs. As we embrace the future of ...