This study considers mathematical programming problems with non-L-R type fuzzy parameters ... resulting optimization problems are investigated by employing the theory of convex optimization on mixed ...

Abstract: Quadratically constrained quadratic programming (QCQP ... Extensive experiments on synthetically generated instances of non-convex quadratically constrained feasibility problems demonstrate ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

The UT Programming Team consists of Trung Dang (coach) and teammates Aaryan Prakash, Mark Wen, and Dylan Smith from left to ...

Gradient Descent Quasi Newton BFGS Projected Gradient Conjugate Gradient Method Note: Conjugate Gradient Descent Method hasn't been supported in a while, and has issues. Note: SR1 based Trust Region ...

JavaProb is a comprehensive repository dedicated to solving a wide range of tricky and concept-rich Java problems. Whether you're preparing for technical interviews, enhancing your problem-solving ...