Investors are weighing meme derivatives like Maxi Doge against utility-driven projects such as Pepeto, as early-stage ...

We walk through an optimization problem step by step, clearly explaining how to identify variables, set up the correct function, apply derivatives, and find maximum or minimum values. Each step is ...

Abstract: In this article, an adaptive accelerated derivative-free optimization algorithm is developed. A composition of noncommutative maps based on objective function evaluations is used to ...

ABSTRACT: In shape optimization, we often seek to optimize the shape of a domain in order to achieve a goal. For example, the sound of a drum depends on the shape of its membrane, via the eigenvalues ...

ABSTRACT: This study focuses on the numerical topological gradient applied to a model of pollutant transfer in porous media, obtained by removing assumptions regarding critical parameters such as ...

Abstract: Parameter-efficient tuning methods such as LoRA could achieve comparable performance to model tuning by tuning a small portion of the parameters. However, substantial computational resources ...

Capital markets have been through a tumultuous 2025 and the year is not yet even halfway over. In reaction to market uncertainty, volumes and volatility have soared as investors act amid an emerging ...

According to a recent study published in the journal Intelligent Computing, researchers created a novel quantum-classical computing scheme for designing photochromic materials and light-sensitive ...

This flowchart illustrates the hybrid quantum-classical approach used to identify the optimal diarylethene (DAE) derivatives with large absorbance wavelengths (λmax) and high oscillator strengths. The ...