Download WebCab Interpolation v2.0 J2SE Edition crack by SHOCK

Added to site2004-01-03
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webcabinterpolationv2.0j2seeditioncrackshock.zip (100911 bytes)

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WebCab Interpolation v2.0 J2SE Edt. [XX/04]
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      ▀▀▀▀                   █▀▀▀                            [sQz!]█▀▀▀

                    B E Y O N D   E X P E C T A T I O N S

         ╓────────────────────────────────────────────────────────────╖
 ┌────────────────────────────────────────────────────────────────────────────┐
 │        WebCab Interpolation v2.0 J2SE Edition (c) WebCab Components        │
 └────────────────────────────────────────────────────────────────────────────┘
   ║ Supplier....: SHOCK TEAM          │ Release Date.: 12/21/03            ║
   ║ Packager....: SHOCK TEAM          │ Release Type.: Development         ║
   ║ Cracker.....: SHOCK TEAM          │ Disk(s)......: 4 x 1.44            ║
   ║ Protection..: Feature Limit       │ Rating.......: [■■■■■■■■--][o8/10] ║
 ┌────────────────────────────────────────────────────────────────────────────┐
 │  Minimum Requirements: P90+ - WINALL - 32MB RAM - 30MB HD - JRE1.3.1       │
 └────────────────────────────────────────────────────────────────────────────┘
   ║  Release Notes:                                                        ║
   ║                                                                        ║
   ║  WebCab Interpolation offers computationally convenient and effective  ║
   ║  schemes of interpolation and extrapolation. These methods are ideal   ║
   ║  for any system that needs to work with functions which are stored     ║
   ║  in tabular form. We include the methods of Newton polynomials,        ║
   ║  Lagrange's formula, Burlisch-Stoer algorithm, Cubic splines (natural  ║
   ║  and free) and Bicubic interpolation. We also consider algorithms      ║
   ║  for finding the coefficients of an interpolation function and         ║
   ║  interpolation in higher dimensions.                                   ║
   ║                                                                        ║
   ║  This suite includes the following features:                           ║
   ║                                                                        ║
   ║  Polynomial Interpolation and extrapolation                            ║
   ║                                                                        ║
   ║  Lagrange's formula - for interpolating a function known at N points   ║
   ║  with a polynomial of degree N-1 Burlisch-Stoer algorithm -            ║
   ║  interpolates functions using rational functions, this method gives    ║
   ║  error estimates Cubic Splines - we give algorithms for natural and    ║
   ║  clamped cubic splines Sorting - efficient techniques are used for     ║
   ║  finding tabulated values                                              ║
   ║                                                                        ║
   ║  Coefficients of an Interpolating Polynomial                           ║
   ║                                                                        ║
   ║  Matrix method - this method relies upon diagonalizing a matrix        ║
   ║  (or solving a system of equations), and is of the order N squared     ║
   ║  Zero method - by evaluating the interpolating polynomial at           ║
   ║  particular values we deduce the coefficients, this method is of       ║
   ║  the order N cubed                                                     ║
   ║                                                                        ║
   ║  Interpolation and extrapolation in two or more dimensions             ║
   ║                                                                        ║
   ║  Grid - functions can be interpolated on an n-dimensional grid         ║
   ║  Bilinear interpolation - we consider a multidimensional               ║
   ║  interpolation by breaking the problem into successive one             ║
   ║  dimensional interpolations                                            ║
   ║  Accuracy - the use of higher order polynomials to obtain              ║
   ║  increased accuracy                                                    ║
   ║  Smoothness - the use of higher order polynomials to enforce           ║
   ║  smoothness on some of the derivatives                                 ║
   ║  Bicubic interpolation - finds an interpolating function with a        ║
   ║  specified derivatives and cross derivatives which vary smoothly       ║
   ║  at the grid points                                                    ║
   ║  Bicubic spline - a special case of Bicubic interpolation              ║
   ║  involving the use of successive one-dimensional splines               ║
   ║                                                                        ║
   ──────────────────────────────────────────────────────────────────────────
   ║  Install Notes:                                                        ║
   ║                                                                        ║
   ║  Unzip & unrar all files to any directory. Install the program, and    ║
   ║  apply PATCHER.JAR from CRACK.ZIP in the /DEPLOYMENT dir using syntax  ║
   ║  "java -jar patcher.jar" (without quotes).                             ║
   ║                                                                        ║
   ║                                                         -- sHOCK 2003  ║
 ┌────────────────────────────────────────────────────────────────────────────┐
 └────────────────────────────────────────────────────────────────────────────┘
         ╙────────────────────────────────────────────────────────────╜
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  ┌──────────────────────────────────────────────────────────────────────────┐
  └──+ Group News +──────────────────────────────────────────────────────────┘
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    ║    provided for evaluation, archival, and back-up purposes only.     ║
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    ║                                                                      ║
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         ╙───────────────[ Last Updated On: 07/30/03 ]───────────────╜
 


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