Power Programming With Mathematica: The Kernel

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Power Programming with Mathematica (Programming Tools for Scientists & Engineers S.)

Format: Paperback. In my opinion the best book about Mathematica programming around.

Introducing Mathematica, Stephen Wolfram

Not just a list of rules, but written from the perspective of a computer scientist, with reasoning behind each construct. For the person that wants to know why they are doing what they are doing, rather than just what they should be doing. Amazing that it was ever allowed to go out of print. Covers all styles of programming, procedural, recursive and functional. See both reviews. There's a problem loading this menu right now.

Learn more about Amazon Prime. Get fast, free delivery with Amazon Prime. Back to top. Get to Know Us. Amazon Payment Products. English Choose a language for shopping. Amazon Music Stream millions of songs. Amazon Advertising Find, attract, and engage customers. The new function also handles systems of difference equations linear and nonlinear and algebraic difference equations. In another advance, the numerical functions FindFit, FindRoot, FindMaximum, and FindMinimum -- and for that matter most simpler numeric functions -- now operate on vector and array variables, so one-line programs in version 5 can replace dozens of lines of version 4.

A matrix is a rectangular array of numbers; many important calculations in electrical and mechanical engineering are cast as matrix problems. Since matrices can be huge -- commonly 1, by 1, numbers or larger -- there's a large set of special tricks for quickly calculating them. The larger a program's library of matrix shortcuts is, the less brute force the program needs to use.

The original Mathematica was quite weak in this area compared with MathWorks' Matlab which, after all, stands for "matrix laboratory". Version 5, however, goes head-to-head with Matlab: of eight common speed tests for matrix calculation, Mathematica 5 won four and roughly tied on two. Matlab users who have written their own code libraries for particular problems will see no need to switch, but now Mathematica users can take on large-scale engineering calculations that used to be Matlab's home turf.

In addition to speed improvements, Mathematica 5's matrix features now include generalized eigenvalues, Schur and Cholesky decomposition, matrix norms and rank, and characteristic polynomials. Virtually every operation described in a matrix-math textbook now corresponds to a Mathematica function.

Preventing evaluation of Mathematica expressions - Stack Overflow

If you already use Mathematica, you should upgrade to version 5 -- the speed improvements alone are reason enough. The program's overhauled matrix operations make Mathematica competitive with Matlab on most engineering matrix problems, and new solvers for business problems will prove valuable in financial modeling.

In version 5, Wolfram has identified most of the areas that called for user programming, and it has done the work for you. With its enhanced authoring tools and its new graphics format, version 5 is the friendliest version of Mathematica yet for Web-based math collaboration.

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Synopsis About this title Power Programming with Mathematica: The Kernel offers you a self-contained overview of this high-level language, featuring real-world programming tips and techniques - plus an accompanying disk with an array of advanced programming examples, utilities, and supported exercises. Buy Used Condition: Good Item may show signs of shelf wear Learn more about this copy.

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