Abstract: Linear systems involved in engineering and scientific calculations can be more easily analyzed using similarity transformation. However, understanding the numerous abstract linear algebra ...

Symbolic regression is an advanced computational method to find mathematical equations that best explain a dataset. Unlike traditional regression, which fits data to predefined models, symbolic ...

Abstract: DynaMOSA is an effective search-based test case generation algorithm. However, it uses an alternating variable method for local search. This method follows a greedy strategy that considers ...

If you’re trying to find ways to move away from single-use items for the sake of the planet, don’t overlook the humble AA (or AAA, or C, or D) battery. Rechargeable batteries can cost more than twice ...

Dr. James McCaffrey of Microsoft Research explains a new idea that slightly modifies standard simulated annealing by borrowing ideas from quantum mechanics. The goal of a combinatorial optimization ...

spyder don't work for sympy jupter or colab should be used. Mathmatica, matlab is a good tool, but sympy is much simplier and easy to use As a non-theory guy, sympy is enought to check algebra We can ...

The goal of a combinatorial optimization problem is to find the best ordering of a set of discrete items. A classic combinatorial optimization challenge is the Traveling Salesman Problem (TSP). For ...

"This small notebook implements, in [Python 3](https://docs.python.org/3/), the [simulated annealing](https://en.wikipedia.org/wiki/Simulated_annealing) algorithm for ...

Multirobot symbolic planning aims at computing plans, each in the form of a sequence of actions, for a team of robots to achieve their individual goals while minimizing overall cost. Solving this ...