[Jakarta-commons Wiki] Update of "MathWishList" by PhilSteitz

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The following page has been changed by PhilSteitz:
http://wiki.apache.org/jakarta-commons/MathWishList

The comment on the change is:
Added high-level SoC breakout

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   * Provide FFT's. -- AlChou
     * do full implementation like [http://www.fftw.org/ FFTW] -- AlexGraesser
   * [[Anchor(summerofcode)]] Numerical Enhancements (Summer of Code Proposal)
-    * performance tuning for matrix computation and add more decomposition methods
-    * univariate integration (Romberg is what I have in mind)
-    * true polynomial interpolation (as opposed to spline)
-    * rational function interpolation
-    * univariate minimization
-    * robust derivative-free multidimensional optimization (downhill simplex)
-    * B-spline
-    * ODE solver
+    * Du Li
+      * an approximation package, with an emphasis on the support for B-splines, which is used to approximate curves in general, given a set of points on the curve.  
+      * generic PDE/ODE solvers, with built-in support for Poisson/heat/wave equations.  
+      * an optimization package, including linear programming (simplex method, later also interior point method), quadratic programming, nonlinear unconstraint/constraint minimization, later will also include search methods including genetic programming.
+      * a simulation package, to provide a framework for running (Quasi)Monte-Carlo simulations
+    * James Stephenson
+      * Compressed Matrix Storage classes for Diagonal and Sparse Matricies.
+      * Advanced Matrix Decomposition Methods including Singular Value Decomposition, Q-R Factorization, and L-U Decomposition.
+      * Advanced Matrix Solvers including Gauss-Jordan, Gauss-Seidel, the Jacobi solver, and the Relaxation method.
+      * Matrix Functions optimized for Sparse and Compressed format for existing and newly developed functions.
+    * Xiaogang Zhang
+      * Integration and Quadrature
+      * Interpolation and Extrapolation
+      * Root Finding (add Ridder's method, Muller's method, Laguerre's method.)
+      * Fast Fourier Transform
  

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