Many problems are best solved with irregular array structures. These are aggregations not having a rectangular shape. To motivate, here's one example,
http://lambda-the-ultimate.org/files/HammingNumbersDeclarative.7z - from http://lambda-the-ultimate.org/node/608#comment-5746 Irregularity here changes an O(N^3) solution to O(N). (The file format is a 7zip archive with a MathReader file inside, readable in Windows or Unix with free software.) These cases also arise in simulations where physical geometry determines array shape. Here memory consumption is the minimization goal that makes irregularity desirable. The access function will return NaN or zero for out-of-bounds requests. There is no need to consume memory storing NaNs and zeros. Please advise how much support numpy/Scipy has for these structures, if any, including future plans. If support exists, could you kindly supply a Scipy declaration matching the first example. Thank you very much. ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
