Abstract: The 0-1 Knapsack Problem (KP) and Bin Packing Problem (BPP) are NP-hard combinatorial optimization challenges often tackled using metaheuristics. Both problems have prominent utilization in ...

Getting good at LeetCode Java isn’t just about solving problems; it’s about having a good plan. You need to know where to ...

How bees, beer cans and big data all solve the same problem: not enough space. By Steven Strogatz Photo illustrations by Jens Mortensen Each installment of “Math, Revealed” starts with an object, ...

Interdisciplinary thematic learning, driven by thematic tasks and real-world problems, is an effective vehicle for cultivating students' problem-solving skills and individual development. However, ...

Problem-solving is becoming more and more seen as an important skill for college students to learn to build metacognitive skills, critical thought, and the ability to learn on their own. Even though ...

Complex organizational problems and chaos are silent killers of productivity and innovation. In today’s fractured work environment, they are more prevalent than ever. Political transitions, ...

A Python implementation of a branch-and-bound approach (plus a simple greedy heuristic) to solve a variation of the multiple knapsack problem where items have both individual and pairwise benefits.

Problem-solving therapy (PST) helps individuals manage stress by breaking down challenges into practical, manageable steps. The aim of the therapy is to help people cope more confidently with ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

Numina has announced the release of its latest model, NuminaMath 7B TIR. This advanced language model is designed specifically for solving mathematical problems. The model boasts 6.91 billion ...