Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

Researchers have used mixed-integer linear programming-based multi-objective optimization to optimize 30,912 unique scenarios showing heat pumps operating in combination with PV power. The ...

Linear Trees combine the learning ability of Decision Tree ... The module depends on NumPy, SciPy and Scikit-Learn (>=0.24.2). Python 3.6 or above is supported.

HiGHS is a high performance serial and parallel solver for large scale sparse linear optimization problems of the form ... Thus HiGHS can solve linear programming (LP) problems, convex quadratic ...

Abstract: Various canonical piecewise linear (CPWL) function-based models have been widely used for modeling radio frequency (RF) power amplifiers (PAs). In most literatures, the thresholds of CPWL ...

The really cool thing about this CPU is that it eschews the typical program counter (PC) and replaces it with a linear-feedback shift register (LFSR). Apparently an LFSR can be implemented in ...

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model.