Amycolatopsis mediterranei DSM 40773 has been of special interest as successors of this strain are in use for the commercial production of rifamycin B. Here we present the draft genome sequence (~10 Mb) of this strain, which contains 108 contigs, 9,198 genes, and has a G+C content of 71.3%.

Strongly Fejér monotone mappings are widely used to solve convex problems by corresponding iterative methods. Here the maximal of such mappings with respect to set inclusion of the images are investigated. These mappings supply restriction zones for the successors of Fejér monotone iterative methods. The basic tool is the representation of the images by intersection of certain balls.

An example is presented to show that the worst case complexity of Bertsekas small label rst strategy for the shortest path problem is exponential It becomes polynomial if when scanning a node i its successors j i are examined in the nondecreasing order of dij the distance between i and j

Deductive rules are useful for proving properties with fairness constraints and there have been many studies on such rules with justice and compassion constraints. This paper focuses on system specifications with strengthened compassion that impose constraints on transitions involving states and their successors. A deductive rule for proving liveness properties under strengthened compassion is ...

Gravitational wave detectors on the ground are now operating full-time at unprecedented sensitivity. Detection of gravitational waves by ground-based detectors is expected, if not from this generation, then from its successors that will start construction within a few years.

Estimation of returns over time, the focus of temporal difference (TD) algorithms, imposes particular constraints on good function approximators or representations. Appropriate generalisation between states is determined by how similar their successors are, and representations should follow suit. This paper shows howTDmachinery can be used to learn such representations, and illustrates, using a...

Estimation of returns over time, the focus of temporal difference (TD) algorithms, imposes particular constraints on good function approximators or representations. Appropriate generalization between states is determined by how similar their successors are, and representations should follow suit. This paper shows how TD machinery can be used to learn such representations, and illustrates, using...