Announcing JavaTools 2.0
- To: mathgroup at smc.vnet.net
- Subject: [mg126711] Announcing JavaTools 2.0
- From: Andreas Lauschke <andreas at lauschkeconsulting.com>
- Date: Fri, 1 Jun 2012 05:19:45 -0400 (EDT)
- Delivered-to: firstname.lastname@example.org
- Reply-to: andreas at lauschkeconsulting.com
JavaTools 2.0 is now shipping. www.lauschkeconsulting.com/jt.html
JavaTools provides several Mathematica functions that harness powerful
Java features (and C# and F# on .Net 4 and mono platforms) and solve
Mathematica shortcomings, including:
- Compilation of Java and .Net methods provided as a Mathematica string
and executed in the virtual machine, loaded back and set up as
Mathematica symbols, with one JavaTools command. Unlike Mathematica's
Compile, compilation in JavaTools is not limited to math-numeric
functions. Absolutely ANY Java or .Net class/method can be used.
Provides basic syntax highlighting and compile error diagnostics for
Java, C#, and F# code. For more information on the usefulness of
external code execution (higher speed with JVM/runtime engine execution,
ease-of-use, code portability, garbage collection, simplified
development and deployment, programmatic code generation) visit
- Extremely fast and accurate multi-threaded functions for American
options with discrete dividends. Use all available cores to price
American options with discrete dividends accurately in concurrent
threads, returning the standard greeks from one grid construction.
Compute American option prices for a whole continuum of spot prices,
again, in parallel. Standard Mathematica licensing terms are four
parallel kernels, but the lowest level of scheduling activity is the
thread, not a heavy-weight kernel process, so on multi-core hardware
with more than 4 cores concurrency potential remains unused. For more on
American option pricing precision, concurrency, continuum of prices, and
greeks, visit www.lauschkeconsulting.com/americanoptions.html
- Extremely efficient Java implementations of combinatorial
optimization/network flow optimization/graph theory algorithms for
several problem types, including the Traveling Salesman Problem, the
minimum spanning tree problem, the knapsack problem, the minimum cost
flow problem, among others. Compute optimal minimum cost flows and
minimum spanning trees for thousands of nodes in milliseconds, and
compute TSP solutions with thousands of nodes in less than a minute,
usually to optimality. TSP algorithms submit multiple competing solution
methods in parallel threads and return all or only the best solution.
For more on the computation speed, concurrency, quality of the solutions
and benchmarking against other commercial codes, visit
- TableView-like environment that displays tabular data in an
interactive table. Unlike the unfinished and undocumented function
TableView in Mathematica, the JavaTools function makes it possible to
assign the edited table to a symbol, and it can enforce strict type
checking already at the time of data entry, to prevent data entry errors
(the cell editor will not permit data entry of the wrong type and reject
it at cell-level!). The tables created with JavaTools' table view
function can be customized, column-sorted, formatted with user-defined
alternating line background colors. Ideal for users who regularly enter
data in a spreadsheet environment. Visit
- Java windows with arbitrary Mathematica expressions (graphics, tables,
formulas, etc.) that can be updated with new content "in place" and
duplicated with a simple mouse-click. Ideal for live electronic trading
environments where screen real estate is very limited and windows with
live updates have to be moved around quickly. Or use DisplayFunction in
a Plot/Graphics function to generate the output in new windows. Visit
- Interactive Symbol Browser, using regex to instantly filter symbols
and see their current values. In the filter field the user can enter
parts of the expression or regex for instant, interactive filtering of
Mathematica symbols. With thousands of standard symbols, thousands of
package symbols, and hundreds or thousands of user symbols, this is a
very time-efficient way to "browse" and search the symbols and their
values live and instantly. www.lauschkeconsulting.com/symbolbrowser.html
- Interactive Expression Browser which lets the user interactively
explore any Mathematica expression to any desired nesting level by
expanding/collapsing nodes. Study branches of interest by expanding and
ignore uninteresting branches by leaving nodes collapsed. Visit
- Calculus / Linear Algebra functions, including those that solve
problems where Mathematica is broken (e. g. Eigenvalues). Compute all
prime numbers up to 35 million in 1 second or up to 1.4 billion in one
minute. Visit www.lauschkeconsulting.com/math.html
- Utility Functions such as remaining disk space, total disk space,
uunused Java memory, number formatting, etc. Visit
- Look-and-Feel Support, including third-party look-and-feel libraries.
No Java or C# or F# programming skills are required to use JavaTools,
however, all underlying objects (collections, windows, browsers, etc.)
are fully exposed in JavaTools to allow the advanced object-oriented
programmer to manipulate these Java or .Net objects directly, if desired.=
Compatible with M6, M7, M8, M9. Requires Java 7. Site licenses and ~50%
student discounts available upon request. Fractional upgrades are free.
Special thanks to Rolf Mertig, Stan Wagon, and Bob Rimmer for
beta-testing and additional advice. A VERY special thanks to Leonid
Shifrin for additional deep insight and code contributions!
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