LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...
Abstract: In this article, the problem of autonomous vehicle trajectory optimization with flexible final time is concerned under the consideration of stochastic disturbances. Stochastic differential ...
Abstract: Reservoir optimal operation (ROO) needs to coordinate various profit-making objectives, which is a typical multiobjective optimization problem (MOP) with complex constraints. With the ...
Neel Somani points out that while artificial intelligence may look like it runs on data and algorithms, its real engine is optimization. According to Somani, every breakthrough in the field—from ...
Documentation is available via ReadTheDocs. Note: Please consider to use python-dtw package which is compatible with dtw for R. Sakoe, H.; Chiba, S., Dynamic programming algorithm optimization for ...
Machine learning and a Hamilton–Jacobi–Bellman equation for optimal decumulation: a comparison study
Without resorting to dynamic programming, we determine the decumulation strategy for the holder of a defined contribution pension plan. We formulate this as a constrained stochastic optimal control ...
STreeD is a framework for optimal binary decision trees with separable optimization tasks. A separable optimization task is a task that can be optimized separately for the left and right subtree. The ...
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