We present a deterministic polynomial-time algorithm for computing [Formula: see text]-approximate (pure) Nash equilibria in (proportional sharing) weighted congestion games with polynomial cost functions of degree at most text]. This is an exponential improvement the approximation factor respect to previously best algorithm. An appealing additional feature that it only uses best-improvement st...

Approximate Computing is a low power achieving technique that offers an additional degree of freedom to design digital circuits. Pruning one the types approximate circuit which removes logic gates or wires in reduce consumption with minimal insertion error. In this work, novel machine learning (ML) -based pruning introduced The machine-learning algorithm random forest decision tree used prune n...

The efficiency–accuracy trade-off of approximate-computing spans a diverse array of techniques at both the hardware and software levels. While this diversity is key to the success of approximation research, it also entails considerable complexity in developing and validating new approximation techniques. To overcome this complexity and foster innovation in research, we propose REACT, a modeling...