Proximal algorithms are useful for obtaining solutions to difficult optimization problems, especially those involving nonsmooth or composite objective functions. A proximal algorithm is one whose ...

W. Morven Gentleman, Algorithm AS 75: Basic Procedures for Large, Sparse or Weighted Linear Least Problems, Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 23, No. 3 ...

Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: Mathematical Background: We expect that the ...

Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: We highly recommended successfully completing ...

Artificial intelligence (AI) developed its reputation for efficiency and predictability through systematic decision making procedures. However, disruptors are rising to contest the basic ...

At the most basic level, algorithms are a bunch of if-then statements taking place in a computer very quickly to give you an outcome: If you do A then you get B. If you do C instead, then you get D.

This note describes a basic algorithm developed by the IMF to balance supply and use tables automatically, allowing a much faster SUT balancing process. For training purposes, this algorithm has been ...