MathParser.org-mXparser 10000 downloads !!!

May 4, 2017GeneralMariusz Gromada

mXparser 10000 downloads!

31.03.2016: first 1000 downloads!
04.05.2017: first 10000 downloads!
1 year period: c.a. 23 downloads daily
Last 6 weeks: c.a. 44 downloads daily !!

Thank you 🙂

Best regards,

Mariusz Gromada

Port to various .NET frameworks

April 17, 2017Release notes.NET Core, .NET PCL, .NET Standard, Xamarin, Xamarin.Android, Xamarin.iOSMariusz Gromada

MathParser.org-mXparser is now available for various .NET frameworks

.NET Framework: 2.0, 3.0, 3.5, 4.0, 4.5, 4.5.1, 4.5.2, 4.6, 4.6.1, 4.6.2
.NET Core: 1.0, 1.1
.NET Standard: 1.0, 1.6
.NET PCL: portable45-net45+win8+wpa81
Xamarin.Andoird: 1.0, 6.0
Xamarin.iOS: 1.0

Enjoy 🙂

Best regards,

Mariusz Gromada

MathParser.org-mXparser on Maven Central

April 2, 2017Release notesMavenMariusz Gromada

Please follow this link 🙂

Enjoy 🙂

Mariusz Gromada

mXparser - v.4.0.0 - released! Major update!

March 27, 2017Release notesMariusz Gromada

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 🙂

mathMC - Math function plotter in Minecraft - powered by mXparser

March 18, 2017UncategorizedPowered by mXparserMariusz Gromada

mathMC "is a 3d function plotter in Minecraft. You can easily plot math functions in your MC world. Minecraft is a 3-dimensional world, so it's perfect for 3d functions."

I am happy that mathMC is powered by mXparser 🙂

mXparser + mathMC + Minecraft

Best regards,

Mariusz Gromada

Estimating Pi by Monte Carlo using mXparser

May 25, 2016UncategorizedMariusz Gromada

Using built-in random variable [Uni] from uniform continuous distribution over [0; 1] interval we sample two numbers (x,y) then check if point is inside the circle. Operation is repeated n-times, then proportion falling into circle is being measured. This is only 1/4 of the circle (positive x and positive y) with radius 1, so 4 times proportion should give estimation of pi.

Argument n = new Argument("n = 100000");
Expression e = new Expression("4 * sum(i, 1, n, if( [Uni]^2 + [Uni]^2 <= 1; 1; 0) ) / n", n);
mXparser.consolePrintln("Res. : " + e.getExpressionString() + " = " + e.calculate());

[mXparser-v.3.0.0] Res. : 4 * sum(i, 1, n, if( [Uni]^2 + [Uni]^2 <= 1; 1; 0) ) / n = 3.14748

Best regards

mXparser - v.3.0.0 - released!

May 17, 2016Release notesMariusz Gromada

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 🙂

Found on the internet - online calculator powered by mXparser v.2.4.0

May 16, 2016UncategorizedPowered by mXparserMariusz Gromada

Dear All,

Recently I found on the internet online calculator powered by mXparser. This is one possible usage scenario of mXparser engine, here only part of functionalities are utilized. (no user defined functions, recursion, only one argument), yet calculator is nice 🙂

Expect mXparser v.3.0.0 release soon 🙂

Best regards,

Mariusz Gromada

mXparser 3.0.0 is very close to release

May 15, 2016Release notesMariusz Gromada

Dear All,

I am happy to announce that mXparser 3.0.0 is very close to release. Change will bring a lot of new features 🙂 including:

Random numbers
Probability distributions
Random variables
Double precision rounding
Intelligent automatic ULP rounding to minimize issues similar to 0.1 + 0.1 + 0.1 = 0.30000000000000004
Epsilon comparison from binary relations
New special functions (non-elementary)
Significant code reorganization

Best regards

mXparser - 1000 downloads!

March 31, 2016UncategorizedMariusz Gromada

mXparser – 1000 downloads !

I am happy to announce that first milestone was achieved – as of today mXparser has 1000 unique downloads, and the number is growing! This is very exciting, especially considering questions you asked and feedback I gained. mXparser seems fits your needs providing the same API for JAVA, Android and .NET (including MONO). Single framework / technology days have gone away, and are not coming back, meaning cross-platform apps are with us for good.

MathParser.org launch

mXparser downloads were significantly boosted after launching http://MathParser.org site, amazing! Thank you Google!

mXparser / MathParser.org users location

Best regards,
Mariusz Gromada