v.3.0.0 (2016-05-18): Major update: Random numbers, Probability distributions & Random variables, Double precision rounding, ULP rounding, epsilon comparison, New special functions.

.NET: since v.3.0.0 dll - different private key used for signing.

Random numbers - new functions

• rUni(a, b) - Random number from uniform continuous distribution U(a,b)
• rUnid(a, b) - Random number from uniform discrete distribution U{a,b}
• rNor(m, s) - Random number from normal distribution N(m,s)
• rList(a1, a2, ..., an) - Random number from given list of numbers

Probability distributions - new functions

• pUni(x, a, b) - Probability distribution function - Uniform continuous distribution U(a,b)
• cUni(x, a, b) - Cumulative distribution function - Uniform continuous distribution U(a,b)
• qUni(q, a, b) - Quantile function (inverse cumulative distribution function) - Uniform continuous distribution U(a,b)
• pNor(x, a, b) - Probability distribution function - Normal distribution N(m,s)
• cNor(x, a, b) - Cumulative distribution function - Normal distribution N(m,s)
• qNor(q, m, s) - Quantile function (inverse cumulative distribution function) - Normal distribution N(m,s)

Random variables (predefined) - acting as random constant (no parameters)

• [Int] - Random variable - random integer
• [Int1] - Random variable - random integer - Uniform discrete distribution U{-10^1, 10^1}
• [Int2] - Random variable - random integer - Uniform discrete distribution U{-10^2, 10^2}
• [Int3] - Random variable - random integer - Uniform discrete distribution U{-10^3, 10^3}
• [Int4] - Random variable - random integer - Uniform discrete distribution U{-10^4, 10^4}
• [Int5] - Random variable - random integer - Uniform discrete distribution U{-10^5, 10^5}
• [Int6] - Random variable - random integer - Uniform discrete distribution U{-10^6, 10^6}
• [Int7] - Random variable - random integer - Uniform discrete distribution U{-10^7, 10^7}
• [Int8] - Random variable - random integer - Uniform discrete distribution U{-10^8, 10^8}
• [Int9] - Random variable - random integer - Uniform discrete distribution U{-10^9, 10^9}
• [nat] - Random variable - random natural number including 0
• [nat1] - Random variable - random natural number including 0 - Uniform discrete distribution U{0, 10^1}
• [nat2] - Random variable - random natural number including 0 - Uniform discrete distribution U{0, 10^2}
• [nat3] - Random variable - random natural number including 0 - Uniform discrete distribution U{0, 10^3}
• [nat4] - Random variable - random natural number including 0 - Uniform discrete distribution U{0, 10^4}
• [nat5] - Random variable - random natural number including 0 - Uniform discrete distribution U{0, 10^5}
• [nat6] - Random variable - random natural number including 0 - Uniform discrete distribution U{0, 10^6}
• [nat7] - Random variable - random natural number including 0 - Uniform discrete distribution U{0, 10^7}
• [nat8] - Random variable - random natural number including 0 - Uniform discrete distribution U{0, 10^8}
• [nat9] - Random variable - random natural number including 0 - Uniform discrete distribution U{0, 10^9}
• [Nat] - Random variable - random natural number
• [Nat1] - Random variable - random natural number - Uniform discrete distribution U{1, 10^1}
• [Nat2] - Random variable - random natural number - Uniform discrete distribution U{1, 10^2}
• [Nat3] - Random variable - random natural number - Uniform discrete distribution U{1, 10^3}
• [Nat4] - Random variable - random natural number - Uniform discrete distribution U{1, 10^4}
• [Nat5] - Random variable - random natural number - Uniform discrete distribution U{1, 10^5}
• [Nat6] - Random variable - random natural number - Uniform discrete distribution U{1, 10^6}
• [Nat7] - Random variable - random natural number - Uniform discrete distribution U{1, 10^7}
• [Nat8] - Random variable - random natural number - Uniform discrete distribution U{1, 10^8}
• [Nat9] - Random variable - random natural number - Uniform discrete distribution U{1, 10^9}
• [Nor] - Random variable - Normal distribution N(0,1)

Double precision rounding

• round(value, places) - decimal rounding (half-up)

New special functions

• erf(x) - Gauss error function
• erfc(x) - Gauss complementary error function
• erfInv(x) - Inverse Gauss error function
• erfcInv(x) - Inverse Gauss complementary error function

Other functions

• ulp(x) - Unit in The Last Place

Binary relations - epsilon+ulp comparison - enabled as default

If a rel b then applied epsilon is maximum from epsilon and ulp(b) : i.e. a eq b if a \in [b-eps; b+eps] inclusive

• mXparser.setExactComparison()
• mXparser.setEpsilonComparison()
• mXparser.setEpsilon(double epsilon)
• mXparser.setDefaultEpsilon()
• mXparser.getEpsilon()
• mXparser.checkIfEpsilonMode()
• mXparser.checkIfExactMode()

Intelligent automatic double ULP rounding - enabled as default

** Try 0.1 + 0.1 + 0.1 - it will give exact 0.3 :-) **

• mXparser.enableUlpRounding()
• mXparser.disableUlpRounding()
• mXparser.checkIfUlpRounding()

Parser tokens definition now public in API

• mxparser.parsertokens

Expression after tokenization now public in API

• Expression.getCopyOfInitialTokens()
• mxparser.parsertokens
• mXparser.consolePrintTokens()

Significant reorganization of code

• Mainly mathcollection & parser tokens

Backwards compatibility

• is preserved for String API, Expression, Function, Argument, Constnat, ...
• other public API was reorganized (mainly mxparser.mathcollection)

Bugs fixed

• bugs related to iterated operators

Other changes

• Many new regression tests

Enjoy :-)

v.2.4.0 (2016-02-28): Average, Variance, Standard deviation + New iterative operators

New functions with variadic parameters:

• mean(a1, a2, ... , an) - sample average;
• var(a1, a2, ... , an) - bias-corrected sample variance;
• std(a1, a2, ... , an) - bias-corrected sample standard deviation.

New iterative operators:

• mini(i, from, to, f(i), ) - minimum from function values;
• maxi(i, from, to, f(i), ) - maximum from function values;
• avg(i, from, to, f(i), ) - average from function values;
• vari(i, from, to, f(i), ) - bias-corrected sample variance from function values;
• stdi(i, from, to, f(i), ) - bias-corrected sample standard deviation from function values.

Other changes

• New regression tests to cover new functions;
• Small code reorganization;
• Added manifest to jar files containing version information;
• .dll files were signed.

Enjoy :-)

Mariusz Gromada

v.2.3.1 (2016-01-29):

• Trailing letter 'e' bug fix
• Some minor changes in the code.

v.2.3.0 (2016-01-17): Prime numbers supported! Multithreading performance tests! New functions: Exponential/Offset/Logarithmic integral!

Prime numbers supported:

• new class PrimesCache in mathcollection
• MathFunctions extended with prime testes
• ispr(n) - Prime test function supported in expressions
• Pi(n) - Prime Counting function supported in expressions
• mXparser.initPrimesCache() methods (and others) to initialize prime numbers cache

Some special functions supported

• Ei(x) - Exponential integral function supported in expressions
• li(x) - Logarithmic integral function supported in expressions
• Li(x) - Offset logarithmic integral function supported in expressions

New constants

• [G] - Gompertz Constant OEIS A073003 supported in expressions
• [li2] - li(2) A069284 - supported in expressions

Multithreading performance tests

• Default number of cores taken from the environment
• Possibility to change number of default threads:
• PerformanceTests.start(int threadsNum)
• mXparser.setThreadsNumber(int threadsNumber)

New regression tests to cover new functionalities

Enjoy :-)

Mariusz Gromada

v.2.2.0 (2016-01-10): Android is coming!

mxparser_jdk1.7.jar - tested with Android !!!

• all regression tests passed :-)

New public methods in the mXparser class

• static String getConsoleOutput() - returns as string output produced by mXparser.consolePrin/ln() methods. Using this method you can capture the output to the string variable.
• static void resetConsoleOutput() - resets the string representing console output
• Added CONSOLE/PREFIX & CONSOLE_OUTPUT_STRING/PREFIX + configuration

Method modified in mXparser class

• consolePrintln()
• consolePrintln(Object o)
• consolePrint(Object o)
• Above methods are outputting also to string representing console output.

New RunTest method in regressiontesting, method executes specified scenario according to below params:

• reg - Expression regression tests
• api - mXparser API regression tests
• syn - Syntax checking regression tests
• perf - Performance tests

Code clean-up

• blank lines
• trailing white spaces
• src folders structure for c-sharp is now the same as in java

Enjoy :-)

Mariusz Gromada

v.2.1.1-1 (2016-01-07):

• Binaries for java: 1.5, 1.6, 1.7, 1.8
• Binaries for .NET: 2.0, 3.0, 3.5, 4.0, 4.5, 4.6

v.2.1.1 (2016-01-04)

• Fixed bug with min/max functions.

v.2.1.0 (2016-01-02):

New static methods in class mXparser

• mXparser.numberToHexString(number) + overloads: int, long, double
• mXparser.hexString2AsciiString(String hexString)
• mXparser.numberToAsciiString(number) + overloads: int, long, double
• additional regression tests for the above methods

Hello World examples showing how to use mXparser binary library (manual includes: projects, code, screenshots) for:

• JAVA (project done in Eclipse Mars 1)
• C# (project done in Visual Studio 2015)
• Visual Basic (project done in Visual Studio 2015)
• C++/CLI (project done in Visual Studio 2015)
• F# (project done in Visual Studio 2015)

v.2.0.0 (2015-12-31):

Major update of the library providing more intuitive and much simpler to use API, no changes to the MathCollection.

Methods removed: setRecursiveMode(), disableRecursiveMode()

• No need to manually mark recursive mode, mXparser is recognizing this mode automatically.

New handy and super easy (natural to use) constructors:

• Constructors for user defined arguments (Argument / RecursiveArgument classes), user defined constant (Constant class), user defined functions (Function class).

Sample code:

   Constant c = new Constant("c=5");
   Constant c = new Constant("c=5+2");
   Argument x = new Argument("x=5");
   Constant c = new Constant("c=5+x", x);
   Argument y = new Argument("y=2*x", x);
   RecursiveArgument f = new RecursiveArgument("f(n)=n*f(n-1)");
   Function f = new Function("f(x,y)=sin(x)+y");
   Function f = new Function("f(n)=if( n>0, n*f(n-1), 1)");

New methods: addDefinitions(PrimitiveElement... elements), removeDefinitions(PrimitiveElement... elements)

• New class PrimitiveElement introduced only to simplify constructors of arguments, constants, functions and expressions.
• Classes Argument, RecursiveArgument, Constant, Functions inherits now from PrimitiveElement class, it means you can call one method for adding / removing definitions by passing comma separated list of elements that can be different type (supported types: Argument, RecursiveArgument, Constant, Function).
• Method addArguments(), addConstants(), addFunctions(),removeArguments(), removeConstants(), removeFunctions() are still public, but this will change in the future.

Sample code:

   Constant c = new Constant("c=5");
   Argument x = new Argument("x=10/2");
   Expression e = new Expression("c+x");
   e.addDefinitions(x,c);

Modified constructors for classes Argument, RecursiveArgument, Constant, Function

• Constructors relying on directly given argument / constant / function name are now checking given name according to the predefined regular expression (the name must start with letters, and then digits / underscores / letters are allowed).
• Constructors removed – all constructors relying on ArrayList/List of arguments, constants, functions or on varidic type Argument, Constant, Function were substituted based on comma separated prams list of PrimitiveElement type, where Argument, Constant, Functions extend / inherit PrimitiveElement).

C# library is now Common Language Specification Compliant, it means mXparser is available right now to many other .NET languages (providing exactly the same API), including:

• C#
• Visual Basic .NET
• C++/CLI
• F#

Other changes

• New extended list of regression tests (to cover new methods, constructors, etc...)
• Implemented Performance Tests
• Source code converted from cp150 to UTF-8
• Source code reorganization (some part of package level code of the Expression class was moved to the mXparser class)
• Some bugs fixed (for sure there are others)

1.0.3:

• Fixed bug during indirect recursion (infinite loops while syntax checking)
• Some minor modification of code making it more portable across platforms

1.0.2

• Fixed bug in user defined function related to RecursiveArguments

1.0.1

• Fixed BAG BIG Problem with evaluation without parenthesis - ID: 2985722
  http://sourceforge.net/tracker/index.php?func=detail&aid=2985722&group_id=300839&atid=1268726

1.0:

• Initial release