The future of C++ developers in 2025 and beyond is bright, but also demanding. Developers who stay ahead of emerging trends, ...

Neural Network Control Based on Nonlinear Autoregressive Exogenous Model and Adaptive Dynamic Programming Algorithm for High-Gain DC-DC Converter Abstract: DC-DC converters are extensively deployed ...

With the observation that many genomics kernels are dominated by dynamic programming (DP) algorithms, this paper presents GenDP, a framework of dynamic programming acceleration including DPAx, a DP ...

In this article, we investigate the optimal control problem for an unknown linear time-invariant system. To solve this problem, a novel composite policy iteration algorithm based on adaptive dynamic ...

Researchers from Carnegie Mellon University, Stanford University, and Princeton University introduced Adaptive Data Optimization (ADO), a novel method that dynamically adjusts data distributions ...

Learn how to transition algorithm expertise into new programming languages with adaptability and resilience tips.

Learn some of the best practices for designing algorithms that can adapt to changing data inputs. Discover key concepts, techniques, and examples of adaptive algorithms.

CSCA 5414: Dynamic Programming, Greedy Algorithms CSCA 5414: Dynamic Programming, Greedy Algorithms Get a head start on program admission Preview this course in the non-credit experience today! Start ...

We introduce novel algorithms for solving dynamic programming problems in economics on a quantum annealer, a specialized quantum computer used for combinatorial optimization. Quantum annealers begin ...