Computational challenges refer to the difficulties encountered when trying to solve complex problems using computational methods, particularly in high-dimensional spaces. These challenges often arise from the exponential growth of data and the inherent complexity in processing this information, making efficient algorithms and approximations necessary. Understanding these challenges is crucial when dealing with tasks such as optimization, data analysis, and geometric computations, where traditional methods may falter due to scalability issues.
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