Abstract: Nonlinear optimal control problems for trajectory planning with obstacle avoidance present several challenges. While general-purpose optimizers and dynamic programming methods struggle when ...

Abstract: For nonlinear systems that can be written in pseudo-linear form, we use iterative model predictive control (IMPC) for receding-horizon optimization. Pseudo-linear models, which are written ...

Scientists are rethinking the universe’s deepest mysteries using numerical relativity, complex computer simulations of Einstein’s equations in extreme conditions. This method could help explore what ...

The MIT Media Lab’s finding that 95% of generative AI investments have produced no measurable returns highlights a familiar pitfall: Leaders are repeating the mistakes of the digital transformation ...

When you are doing division, it's helpful to use a written method. This can be especially useful if the numbers get too big to calculate in your head. If the number you are dividing by (this is called ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

This repository is an implementation of the NeurIPS 2024 paper: IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs. Constrained Nonlinear Programs (NLPs) represent a ...

Insights into coherence synthesis in nonlinear optics highlight the role of spatial coherence in shaping second harmonic ...

This course will introduce you to problem-solving using programming. Beginning with simple tasks like evaluating mathematical expressions, calculating income-tax, to solving JEE problems (maths, ...