Titlebook: Optimization and Optimal Control; Proceedings of a Con Roland Bulirsch,Werner Oettli,Josef Stoer Conference proceedings 1975 Springer-Verla

錯

P. J. Laurenteen the Austrian School, mainstream economics, and the philosophy of science. This comprehensive reconstruction is suitable for economists interested in the history and philosophy of their discipline, as well as for philosophers of science.978-3-319-83458-0978-3-319-46170-0

GOAT

F. A. Lootsmaeen the Austrian School, mainstream economics, and the philosophy of science. This comprehensive reconstruction is suitable for economists interested in the history and philosophy of their discipline, as well as for philosophers of science.978-3-319-83458-0978-3-319-46170-0

Lumbar-Stenosis

degradation

Peter Spelluccieen the Austrian School, mainstream economics, and the philosophy of science. This comprehensive reconstruction is suitable for economists interested in the history and philosophy of their discipline, as well as for philosophers of science.978-3-319-83458-0978-3-319-46170-0

光滑

ostensible

Rainer E. Burkard model on distributed stream joins and supports arbitrary join predicates. It can handle data skew perfectly since it randomly routes tuples to cells with each steam corresponding to one side of the matrix. Designing of the partitioning scheme of the matrix is a determining factor to maximize system

macabre

Richard W. Cottleedented level. However, the rapid expansion of open source communities results in a lot of redundant contents within the community, and most importantly, among communities since they overlap each other with shared issues. On the one hand, redundant contents that are expressed in informal free texts

Aesthete

Anticoagulant

P. C. Dasedented level. However, the rapid expansion of open source communities results in a lot of redundant contents within the community, and most importantly, among communities since they overlap each other with shared issues. On the one hand, redundant contents that are expressed in informal free texts

痛得哭了

Peter Deuflhard. The key of scene classification task with remotely sensed images lies in feature learning efficiency and invariant image representations. While deep neutral network-based approaches achieved good classification accuracy for remotely sensed images, they often have to train millions of parameters an