This aligns with our approach in Dynamic Classification Using the Adaptive Competitive Algorithm for Breast Cancer Detection ... using the principles of vector quantization. The design of the model is ...

which motivates the design of tensor processing units (TPU). Similarly, DP algorithms are adopted by many genomics kernels and account for large amounts of time in mainstream sequencing pipelines, ...

The adaptive dynamic programming (ADP) algorithm is used for solving the Hamilton-Jacobi ... of this study is to investigate the dynamic modeling and optimal control design of musculoskeletal robots.

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) . We will ...

Abstract: This brief introduces a novel differential dynamic programming (DDP) algorithm for solving discrete-time finite-horizon optimal control problems with inequality constraints. Two variants, ...

Dynamic programming algorithms are a good place to start understanding what's really going on inside computational biology software. The heart of many well-known programs is a dynamic programming ...