We propose a new method for solving high-dimensional dynamic programming problems and recursive competitive equilibria with a large (but finite) number of heterogeneous agents using deep learning. We ...

Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.

Dynamic Island is the highlight feature of the iPhone 14 Pro series, and it has now come to the standard iPhone 15 and 15 Plus. Apple’s new take on the iPhone notch turns the notorious notch into a ...

Abstract: Reinforcement learning (RL) has roots in dynamic programming and it is called adaptive/approximate dynamic programming (ADP) within the control community. This paper reviews recent ...

<u>Dynamic programming</u> is an important algorithmic paradigm that breaks a problem into smaller subproblems and stores the solutions to avoid redundant computations, which optimizes performance. In ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

This primer is tailored for individuals new to macroeconomic policy analysis, including policymakers, economic analysts, and other professionals seeking to deepen their understanding of macroeconomic ...

Learning to program in C on an online platform can provide structured learning and a certification to show along with your resume. Looking into learning C, one of the most popular programming ...

Forbes contributors publish independent expert analyses and insights. Neil Sahota is a globally sought after speaker and business advisor. In the digital economy, companies continuously seek ...