Release Notes

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v.5.0.1 (2022-04-10): Leonis – a major release: Implied Multiplication, Unicode Math Symbols, Additional Probability Distributions:

  • Implied Multiplication: #243
  • Unicode Math Symbols: #249
  • Student’s t-distribution: #256
  • Chi-Squared Distribution: #257
  • An Attempt To Fix Expression String: #254
  • Minor Bug fixing
  • Regression tests refactoring

v.4.4.2 (2020-01-25): Gemoni – bugs fixing

  • #200 System.OutOfMemoryException: Array dimensions exceeded supported range (#200)
  • #199 cancelCurrentCalculation does not stop for some expressions (#199)

v.4.4.0 (2020-01-14): Gemoni – API improvement

Canonical rounding: Bye bye floating point arithmetic artifacts

ULP rounding is switched of as a default setting (can be enabled / disabled). As a default canonical rounding is switched on (can be disabled / enabled). New methods:

  • mXparser.enableCanonicalRounding()
  • mXparser.disableCanonicalRounding()
  • mXparser.setCanonicalRounding(boolean)
  • mXparser.checkIfCanonicalRounding

Argument extension – analogy to Function Extension

Now you can define user arguments implementing your own algorithm in source code.

Bugs fixed

  • #168#18 Exact special trigonometric values
  • #192#178 Logical operators precedence
  • #172 “x + 4 * – 2”

v.4.3.3 (2019-01-27): Bug fix

v.4.3.2 (2019-01-25): Nuget package fix

v.4.3.0 (2019-01-19): Caprica – API improvement

Cancel ongoing calculation

  • mXparser.cancelCurrentCalculation()
  • mXparser.resetCancelCurrentCalculationFlag();

Set default options

  • mXparser.setDefaultOptions()

User defined constants / units

  • constant name can be surrounded by square bracket, i.e. [const]
  • Expression.getMissingUserDefinedUnits()

Bug fixing

  • #153#162 Endless Loop
  • #164 PrimeCache out of memory – handling error / exception

v.4.2.0 (2018-07-15): Aquaria – Major release

Broader types of decimal number literals

  • No leading zero, i.e.: .2, .312, -.21

Fraction as number literals

  • 1_2 is recognized as 1/2
  • 2_3_4 is recognized as 2 + 3/4
  • 17_5 is recognized as 17/5
  • Just use Expression e = new Expression(“2_3_2 + 1_2”)

Double to fraction conversion

  • mXparser.toFraction(double value) – double[]
  • mXparser.toMixedFraction(double value) – double[]
  • mXparser.fractionToString(double[] fraction) – String
  • mXparser.toFractionString(double value) – String
  • mXparser.toMixedFractionString(double value) – String

Disable / enable almost int rounding

  • mXparser.enableAlmostIntRounding()
  • mXparser.disableAlmostIntRounding()
  • mXparser.checkIfAlmostIntRounding()
  • mXparser.getEpsilon()
  • mXparser.setEpsilon()

Variadic user defined functions

  • Function f = new Function(“f(…) = sum(i, 1, [npar], par(i)^2 )”);
  • [npar] – number of available parameters
  • par(i) – parameter value
  • body extended is supported

New special functions

  • Gamma(x) – Gamma special function Γ(s)
  • LambW0(x) – Lambert-W special function, principal branch 0, also called the omega function or product logarithm
  • LambW1(x) – Lambert-W special function, branch -1, also called the omega function or product logarithm
  • sgnGamma(x) – Signum of Gamma special function, Γ(s)
  • logGamma(x) – Log Gamma special function, lnΓ(s)
  • diGamma(x) – Digamma function as the logarithmic derivative of the Gamma special function, ψ(x)
  • GammaL(s,x) – Lower incomplete gamma special function, γ(s,x)
  • GammaU(s,x) – Upper incomplete Gamma special function, Γ(s,x)
  • GammaP(s,x), GammaRegL(s,x) – Lower regularized P gamma special function, P(s,x)
  • GammaQ(s,x), GammaRegU(s,x) – Upper regularized Q Gamma special function, Q(s,x)
  • Beta(x,y) – The Beta special function B(x,y), also called the Euler integral of the first kind
  • logBeta(x,y) – The Log Beta special function ln B(x,y), also called the Log Euler integral of the first kind, ln B(x,y)
  • BetaInc(x,a,b) – The incomplete beta special function B(x; a, b), also called the incomplete Euler integral of the first kind
  • BetaI(x,a,b), BetaReg(x,a,b) – The regularized incomplete beta (or regularized beta) special function I(x; a, b), also called the regularized incomplete Euler integral of the first kind

Degrees / Radians mode for trigonometrix

  • mXparser.setDegreesMode()
  • mXparser.setRadiansMode()
  • mXparser.checkIfDegreesMode()
  • mXparser.checkIfRadiansMode()

New operator – Tetration

  • a^^n is recognized as a^a^a…^a – n times

Bugs fixed

  • Argument.checkSyntax() #145
  • Endless loop with factorial #136
  • StringIndexOutOfBoundsException asking for tokens of empty expression #135
  • Function.checkSyntax() always returns true #111
  • Syntax for unary complement #114
  • Iterative operators descending sequence #119
  • checkSyntax() bug #80
  • Very very very long processing time of gcd #91
  • Priorities of “if”, “iff” and other calculus operations #82

Other framework support (binaries)

  • .NET Core: 2.0, 2.1
  • .NET Standard: 2.0
  • .NET Framework: 4.7, 4.7.2
  • JAVA: 1.9, 1.10

v.4.1.1 (2017-07-28): Aeries – checkSyntax() bug fixing

  • Fixed: checkSyntax() returns true “already checked no errors” #75

v.4.1.0 (2017-07-09): Aeries – Major update

Various numeral systems

  • Binary numbers literals
  • Octal numbers literals
  • Hexadecimal numbers literals
  • Number literals with base between 1 and 36
  • base(b, digit1, …, digitn) function to generate numbers in any given base

Leading zeros support

  • 0001
  • 0001.12e10

Working with digits

  • ndig(number, targetBase) function – number of digits – specified numeral system base
  • ndig10(number) function – number of digits – base 10
  • dig(number, targetBase, position) – digit at position – specified numeral system base
  • dig10(number, position) – digit at position – base 10

Prime factorization

  • nfact(number) – number of prime factors
  • factval(number, factorId) – factor value
  • factexp(number, factorId) – factor exponent

Not-a-Number

  • [NaN] symbol
  • isNaN(x) function
  • coalesce(a1,…,an) function – first non-NaN value

Statistics

  • med(a1, a2, …, an) – sample median
  • mode(a1, a2, …, an) – sample mode

Boolean logic

  • [true] symbol
  • [false] symbol
  • or(a1,…an) – variadic or
  • and(a1,…an) – variadic and
  • xor(a1,…an) – variadic xor

Other functions

  • root(order, number) – root + support for negative numbers and odd-order
  • arcsec(x) – inverse trigonometric secant
  • arccsc(x) – inverse trigonometric cosecant
  • ndist(v1, v2, … vn) – number of distinct values
  • argmin(v1, v2, … vn) – index of minimum
  • argmax(v1, v2, … vn) – index of maximum

New operator

  • % support (i.e. 2%, x%)

Calculus

  • der( f(x), x, x0 ) – alternative syntax for derivative (no need to define x as argument)

Built-in tokens

  • Option to override built-in tokens
  • Possibility to remove built-in tokens
  • Possibility to change built-in token
  • Key words: syntax + since
  • Get key words list

Working with expression tokens

  • Get missing user defined arguments
  • Get missing user defined functions

Bugs fixed

  • Dependent arguments and StackOverflowError #35 (introduction of recursion calls counter)
  • FunctionExtension.calculate #32

v.4.0.0 (2017-03-27): Major update: Bitwise Operators, Numbers in scientific notation, Units, Physical & Astronomical Constants, Equations solving via finding function root, Better tokens handling, Function Extensions – possibility of using your own implementation, Bugs fixed!

  • Bitwise Operators

  • @~ – Bitwise unary complement
  • @& – Bitwise AND
  • @^ – Bitwise exclusive OR
  • @| – Bitwise inclusive OR
  • @<< – Signed left shift
  • @>> – Signed right shift
  • Numbers in scientific notation

  • 1.2e10
  • 1.2e-10
  • 1.2e+10
  • 1.2E10
  • 1.2E-10
  • 1.2E+10
  • Units

  • [%] – <Ratio, Fraction> Percentage = 0.01
  • [%%] – <Ratio, Fraction> Promil, Per mille = 0.001
  • [Y] – Septillion / Yotta = 10^24
  • [sept] – Septillion / Yotta = 10^24
  • [Z] – Sextillion / Zetta = 10^21
  • [sext] – Sextillion / Zetta = 10^21
  • [E] – Quintillion / Exa = 10^18
  • [quint] – Quintillion / Exa = 10^18
  • [P] – Quadrillion / Peta = 10^15
  • [quad] – Quadrillion / Peta = 10^15
  • [T] – Trillion / Tera = 10^12
  • [tril] – Trillion / Tera = 10^12
  • [G] – Billion / Giga = 10^9
  • [bil] – Billion / Giga = 10^9
  • [M] – Million / Mega = 10^6
  • [mil] – Million / Mega = 10^6
  • [k] – Thousand / Kilo = 10^3
  • [th] – Thousand / Kilo = 10^3
  • [hecto] – Hundred / Hecto = 10^2
  • [hund] – Hundred / Hecto = 10^2
  • [deca] – Ten / Deca = 10
  • [ten] – Ten / Deca = 10
  • [deci] – Tenth / Deci = 0.1
  • [centi] – Hundredth / Centi = 0.01
  • [milli] – Thousandth / Milli = 0.001
  • [mic] – Millionth / Micro = 10^-6
  • [n] – Billionth / Nano = 10^-9
  • [p] – Trillionth / Pico = 10^-12
  • [f] – Quadrillionth / Femto = 10^-15
  • [a] – Quintillionth / Atoo = 10^-18
  • [z] – Sextillionth / Zepto = 10^-21
  • [y] – Septillionth / Yocto = 10^-24
  • [m] – Metre / Meter (m=1)
  • [km] – Kilometre / Kilometer (m=1)
  • [cm] – Centimetre / Centimeter (m=1)
  • [mm] – Millimetre / Millimeter (m=1)
  • [inch] – Inch (m=1)
  • [yd] – Yard (m=1)
  • [ft] – Feet (m=1)
  • [mile] – Mile (m=1)
  • [nmi] – Nautical mile (m=1)
  • [m2] – Square metre / Square meter (m=
  • [cm2] – Square centimetre / Square cent
  • [mm2] – Square millimetre / Square mill
  • [are] – Are (m=1)
  • [ha] – Hectare (m=1)
  • [acre] – Acre (m=1)
  • [km2] – Square kilometre / Square kilom
  • [mm3] – Cubic millimetre / Cubic mill
  • [cm3] – Cubic centimetre / Cubic cent
  • [m3] – Cubic metre / Cubic meter (m=
  • [km3] – Cubic kilometre / Cubic kilom
  • [ml] – Millilitre / Milliliter (m=1)
  • [l] – Litre / Liter (m=1)
  • [gall] – Gallon (m=1)
  • [pint] – Pint (m=1)
  • [s] – Second (s=1)
  • [ms] – Millisecond (s=1)
  • [min] – Minute (s=1)
  • [h] – Hour (s=1)
  • [day] – Day (s=1)
  • [week] – Week (s=1)
  • [yearj] – Julian year = 365.25 days (s=1)
  • [kg] – Kilogram (kg=1)
  • [gr] – Gram (kg=1)
  • [mg] – Milligram (kg=1)
  • [dag] – Decagram (kg=1)
  • [t] – Tonne (kg=1)
  • [oz] – Ounce (kg=1)
  • [lb] – Pound (kg=1)
  • [b] – Bit (bit=1)
  • [kb] – Kilobit (bit=1)
  • [Mb] – Megabit (bit=1)
  • [Gb] – Gigabit (bit=1)
  • [Tb] – Terabit (bit=1)
  • [Pb] – Petabit (bit=1)
  • [Eb] – Exabit (bit=1)
  • [Zb] – Zettabit (bit=1)
  • [Yb] – Yottabit (bit=1)
  • [B] – Byte (bit=1)
  • [kB] – Kilobyte (bit=1)
  • [MB] – Megabyte (bit=1)
  • [GB] – Gigabyte (bit=1)
  • [TB] – Terabyte (bit=1)
  • [PB] – Petabyte (bit=1)
  • [EB] – Exabyte (bit=1)
  • [ZB] – Zettabyte (bit=1)
  • [YB] – Yottabyte (bit=1)
  • [J] – Joule (m=1, kg=1, s=1)
  • [eV] – Electronovolt (m=1, kg=1, s=1
  • [keV] – Kiloelectronovolt (m=1, kg=1,
  • [MeV] – Megaelectronovolt (m=1, kg=1,
  • [GeV] – Gigaelectronovolt (m=1, kg=1,
  • [TeV] – Teraelectronovolt (m=1, kg=1,
  • [m/s] – Metre / Meter per second (m=1,
  • [km/h] – Kilometre / Kilometer per hour
  • [mi/h] – Mile per hour (m=1, s=1)
  • [knot] – Knot (m=1, s=1)
  • [m/s2] – Metre / Meter per squar
  • [km/h2] – Kilometre / Kilometer p
  • [mi/h2] – Mile per square hour (m
  • [rad] – Radian (rad=1)
  • [deg] – Degree of arc (rad=1)
  • [‘] – Minute of arc (rad=1)
  • [”] – Second of arc (rad=1)
  • Physical Constants

  • – Light speed in vacuum [m/s] (m=1, s=1)
  • [G.] – Gravitational constant (m=1, kg=1, s=1)]
  • [g] – Gravitational acceleration on Earth [m/s^2] (m=1, s=1)
  • [hP] – Planck constant (m=1, kg=1, s=1)
  • [h-] – Reduced Planck constant / Dirac constant (m=1, kg=1, s=1)]
  • [lP] – Planck length [m] (m=1)
  • [mP] – Planck mass [kg] (kg=1)
  • [tP] – Planck time [s] (s=1)
  • Astronomical Constants

  • [ly] – Light year [m] (m=1)
  • [au] – Astronomical unit [m] (m=1)
  • [pc] – Parsec [m] (m=1)
  • [kpc] – Kiloparsec [m] (m=1)
  • [Earth-R-eq – ]Earth equatorial radius [m] (m=1)
  • [Earth-R-po] – Earth polar radius [m] (m=1)
  • [Earth-R] – Earth mean radius (m=1)
  • [Earth-M] – Earth mass [kg] (kg=1)
  • [Earth-D] – Earth-Sun distance – semi major axis [m] (m=1)
  • [Moon-R] – Moon mean radius [m] (m=1)
  • [Moon-M] – Moon mass [kg] (kg=1)
  • [Moon-D] – Moon-Earth distance – semi major axis [m] (m=1)
  • [Solar-R] – Solar mean radius [m] (m=1)
  • [Solar-M] – Solar mass [kg] (kg=1)
  • [Mercury-R] – Mercury mean radius [m] (m=1)
  • [Mercury-M] – – Mercury mass [kg] (kg=1)
  • [Mercury-D]Mercury-Sun distance – semi major axis [m] (m=1)
  • [Venus-R] – Venus mean radius [m] (m=1)
  • [Venus-M] – Venus mass [kg] (kg=1)
  • [Venus-D] – Venus-Sun distance – semi major axis [m] (m=1)
  • [Mars-R] – Mars mean radius [m] (m=1)
  • [Mars-M] – Mars mass [kg] (kg=1)
  • [Mars-D] – Mars-Sun distance – semi major axis [m] (m=1)
  • [Jupiter-R] – Jupiter mean radius [m] (m=1)
  • [Jupiter-M] – Jupiter mass [kg] (kg=1)
  • [Jupiter-D] – Jupiter-Sun distance – semi major axis [m] (m=1)
  • [Saturn-R] – Saturn mean radius [m] (m=1)
  • [Saturn-M] – Saturn mass [kg] (kg=1)
  • [Saturn-D] – Saturn-Sun distance – semi major axis [m] (m=1)
  • [Uranus-R] – Uranus mean radius [m] (m=1)
  • [Uranus-M] – Uranus mass [kg] (kg=1)
  • [Uranus-D] – Uranus-Sun distance – semi major axis [m] (m=1)
  • [Neptune-R] – Neptune mean radius [m] (m=1)
  • [Neptune-M] – Neptune mass [kg] (kg=1)
  • [Neptune-D] – Neptune-Sun distance – semi major axis [m] (m=1)
  • Equations solving via finding function root

  • solve( f(x), x, a, b ) – solving f(x) = 0
  • Better tokens handling

  • Better handling of invalid / not known tokens
  • Looks like functionality
  • Function Extensions – possibility of using your own implementation

  • FunctionExtension interface + new constructor in Function class
  • Bugs fixed

  • Exception thrown by getCopyOfInitialTokens() #21
  • System.format.exception – system.IO.EndOfStreamException #20
  • Expression relating factorial “!” cause the application to hang #17
  • Negative sign missing when is right of operators #16
  • Negative in if statement #12
  • Speed when debugging #11
  • User defined arguments ending in e #10
  • New regression tests – current tests coverage:

  • 622 expression related tests
  • 114 syntax related tests
  • 30 api related tests
  • 20 performance tests

Enjoy 🙂

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

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), <by>) – minimum from function values;
  • maxi(i, from, to, f(i), <by>) – maximum from function values;
  • avg(i, from, to, f(i), <by>) – average from function values;
  • vari(i, from, to, f(i), <by>) – bias-corrected sample variance from function values;
  • stdi(i, from, to, f(i), <by>) – 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.

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 tests
  • 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

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

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.2.1.0 (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…)
  • 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)

v.1.0.3 (2015-12-15):

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

v.1.0.2 (2015-12-06):

  • Fixed bug in user defined function related to RecursiveArguments

v.1.0.1 (2010-04-17):

v.1.0.0 (2010-02-01):

  • Initial release

 

Please follow the release note document directly on GitHub.

Enjoy! 🙂

Nuget
Install-Package MathParser.org-mXparser -Version 5.0.2
Maven
<dependency>
<groupid>org.mariuszgromada.math</groupid>
<artifactid>MathParser.org-mXparser</artifactid>
<version>5.0.2</version>
</dependency>
Gradle
implementation 'org.mariuszgromada.math:MathParser.org-mXparser:5.0.2'
Gradle (Kotlin)
implementation("org.mariuszgromada.math:MathParser.org-mXparser:5.0.2")
GitHub
git clone https://github.com/mariuszgromada/MathParser.org-mXparser
OTHER DOWNLOAD OPTIONS

Download latest release – v.5.0.2 Leonis: bin + docDownload latest release – v.5.0.2 Leonis: bin only, includes separate binaries for various .NET platforms and Java versions
Source code .zipSource code .tar.gz
View on GitHubMathSpace.pl

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