👁 Image
MathParser.org-mXparser 6.1.1

Latest release

v.6.1.1 (2026-05-17): Sagitara: maintenance release with bug fixes and improvements

• Warm-up before concurrent use

Bugs fixed: #333, #334

• Function h(x) = h(h(0)), recursion problem
• n-th derivative bug

v.6.1.0 (2024-10-19): mXparser supports C++, Chinese Translation

• C++ support,
• mXparser in Chinese,

v.6.0.0 (2024-05-19): Translations (French, German, Italian, Polish, Portuguese, Spanish) + New operators

Translations:

• mXparser in French,
• mXparser in German,
• mXparser in Italian,
• mXparser in Polish,
• mXparser in Portuguese,
• mXparser in Spanish,

New bitwise operators:

• Bitwise NAND, Bitwise NOR, Bitwise XOR

New division operators:

• Central & Eastern Europe ":", Integer division (quotient) "\"

v.5.2.1 (2023-02-08): Orion: Improvement and standardization of descriptions and messages. Definition of your own translations. Exporting help in multiple formats. Clones for thread safe. Performance improvement.

• Improvement and standardization of built-in elements description, click to see usage example
• Improvement and standardization of error messages, click to see usage example
• Definition of your own translations, click to see usage example
• Help content in the CSV format, click to see usage example
• Help content in the HTML format, click to see usage example
• Help content in the Markdown format, click to see usage example
• Help content in the JSON format, click to see usage example
• Clones for thread safe, click to see usage example
• Performance improvement for calculations in the loop, click to see usage example
• Bug fixed #291 Euler polynomial function producing wrong results
• Bug fixed #292 Implied Multiplication bug when blank character separates
• Bug fixed #283 Unnecessary newline at the end in getErrorMessage()
• Bug fixed #284 Unnecessary space in function expression string returned by getErrorMessage()
• Bug fixed #297 Claculation Steps Register fix - commas / parenthesis / missing parts related to user arguments

v.5.1.0 (2022-11-13): Libris: Implied Multiplication, Unicode Math Symbols, Additional Probability Distributions, Calculation Steps Register, Serialization Support

• Implied Multiplication, click to see usage example
• Unicode Math Symbols, click to see usage example
• Calculation Steps Register, click to see usage example
• Serialization Support, click to see usage example
• An Attempt To Fix Expression String
• Student's t-distribution: Probabilisty Density Function, Cumulative Distribution Function, Quantile Function
• Chi-Squared Distribution: Probabilisty Density Function, Cumulative Distribution Function, Quantile Function
• F-Snedecor Distribution: Probabilisty Density Function, Cumulative Distribution Function, Quantile Function
• Minor Bug fixing: 259, 258, 252, 261, 262, 263, 271, 269, 268, 266, 265
• Regression tests refactoring
• License update

Tutorial

The tutorial consists of c.a. 180 live examples from c.a. 40 sections. Each of the examples can be copied and run on your own environment. In addition, mXparser provides an extensive collection of over 500 built-in math functions, expressions and symbols. Familiarize yourself with the scope and the syntax. Live testing is the best way to learn. Good luck!

Using internal help

• Full help content
• In-line help searching

Simple expressions

• Simple calculation
• Changing expression string
• Using operators
• Power function
• Using numbers in scientific notation
• Percent sign
• Leading zeros

Implied multiplication

• Numbers and parenthesis
• Numbers and constants / arguments
• Numbers and constants / arguments and parenthesis
• Numbers and constants / arguments and parenthesis and functions
• Implied multiplication and possible ambiguity
• Implied multiplication and list of tokens
• Enable / disable implied multiplication

Evaluating relations

• Binary relation “=”
• Binary relation “<“
• Boolean operator “OR”
• Boolean operator “AND”

Using built-in functions

• Unary function
• Binary function
• Function with 3 arguments
• Function with n-arguments
• Function with even number of arguments

User defined constants

• Defining constant – various options

User defined arguments

• Dealing with free arguments
• Defining dependent arguments
• Implementing your own Argument Extension
• Getting list of missing user defined arguments
• Possible conflict between Implied Multiplication and getting list of missing user defined arguments + recommended solutions

User defined functions

• Fast function definition (performance of creation)
• Handy function constructor, but slower proces of function creation (performance of creation slower, but calculation the same)
• Function with more parameters
• Function in function
• Implementing your own Function Extension
• Getting list of missing user defined functions
• Possible conflict between Implied Multiplication and getting list of missing user defined functions + recommended solutions

Expression pre-compilation

• What is pre-compilation?
• When is pre-compilation done?
• When is pre-compilation done again?
• An example of bad practice in computing the value of an expression for a changing argument value
• An example of good practice in computing the value of an expression for a changing argument value

Variadic user defined functions

• Function returning number of parameters provided
• Function returning sum of first and last parameter provided
• Function returning parameter at position defined by the first parameter
• Function returning sum of all parameters squared
• Implementing your own Variadic Function Extension

“if” and “iff” functions

• Mechanics of the if function
• “if” function and arguments
• “if” function in user defined function
• Mechanics of the “iff” function
• iff function is not limited in number of cases

Summation & Product iterated operators

• SIGMA summation operator
• PI product operator
• SIGMA summation operator – Approximating sin(x) by Taylor series
• SIGMA summation operator – Approximating pi value by integrating sqrt(1-x^2)

Derivatives & Integrals

• General derivative
• Left / right derivative
• Derivative from more complex function
• Derivative – alternative syntax
• Integrals – calculating pi by integration sqrt(1-x^2)

Solving equation f(x) = 0

• Solve 2x-4 = 0 for x in [0, 10]
• Solve cos(x) = 0 for x in [0, pi]
• Solve cos(x) = 0 for x in [pi, pi] (root not bracketed)
• Solve x-y = 0 for x in [0, 10] and y = 4
• Solve sin'(x) = 0 for x in [0, pi]

Prime Numbers

• Primality test function
• Primes counting function
• Using built-in primes cache to accelerate calculations
• Estimating number of primes using Offset logarithmic integral function
• Prime factorization

Built-in constants

• Using built-in constants
• Estimating Moon gravitational acceleration
• Getting list of constants

Built-in Units

• Units of length / distance
• Units of time
• Units of information
• Units of volume
• Express 4 feet in inches
• Express in square kilometers the area of a rectangle measuring 100 meters by 2 kilometers
• List of supported units

Built-in Metric prefixes

• Example: 10 Millions / Kilo
• List of supported metric prefixes

PDF, CDF and Quantile functions

• Expected value estimation using Probability Distribution Function
• Probability estimation using Cumulative Distribution Function – the law of 3*SIGMA
• Calculating quantiles using Inverse Cumulative Distribution Function – males height example assuming males height distribution N(170, 15)

Random numbers

• Random number from uniform continuous distribution
• Random number from uniform discrete distribution
• Random number from normal distribution
• Random number from a given list
• Estimating mean of Normal distribution
• Estimating standard deviation of Normal distribution
• Estimating variance of Normal distribution

Built-in Random Variables

• Random integer
• Random integer N: -10^k ⇐ N ⇐ 10^k for k = 1, 2, …,9
• Random natural number
• Random natural number N ⇐ 10^k for k = 1, 2, …,9
• Uniform continuous distribution U(0,1)
• Normal distribution N(0,1)

User defined Random Variables

• Dependent argument as user defined random variable
• User defined function as user defined random variable – random walk example

Bitwise Operators

• Bitwise unary complement
• Bitwise AND
• Bitwise exclusive OR
• Bitwise inclusive OR
• Signed left / right shift

Fractions

• Fraction (proper) as Number Literal
• Improper Fraction as Number Literal
• Fraction (Mixed Number) as Number Literal
• Fraction (Mixed Numer) and Improper Fraction in one Number Literal
• Operations on Fractions
• Represent double as Fraction

Various numeral systems

• Binary number
• Octal number
• Hexadecimal number
• Unary number
• Unary zero
• Base 1 – 36 number literals
• Base N numeral system

Fast (limited) user defined recursion

• Fibonacci numbers using fast recursion

User defined recursion – not limited

• Fibonacci numbers using user defined recursive function
• Number of recursive parameters is not limited – binomial coefficient definition using user defined recursive function
• Mixing function parameters – part causing recursive calls, other part as ‘typical’ parameter. Below example is presenting definition of Chebyshev polynomial using recursive function.
• Indirect recursion – approximating sin(x) and cos(x)

Unicode math

• The square root √
• The square root of the square root √√
• The square root and parenthesis √()
• The roots of various orders ∜ ∛ √
• SIGMA summation operator ∑
• Unicode name of a user defined argument
• Show all Unicode built-in keywords
• Enable / disable Unicode built-in keywords
• List of Unicode symbols that grammar accepts

Working with NaN – Not-a-Number

• NaN in condition
• NaN symbol
• First non-NaN value

Radians Mode / Degrees Mode

• Basic trigonometric function
• Inverse trigonometric function
• Using units of angle being in radians mode

Calculation Steps Register

• Simple Expression
• Dependent User Argument
• User Function
• Expression referencing User Argument and User Function

Inspecting calculation process

• Setting the verbose mode
• Syntax checking
• Lexical syntax checking
• Getting computing time

Playing with expression tokens

• Printing expression tokens
• Using tokens to print expression in a fancy way
• Playing with invalid tokens

Built-in tokens (key words) manipulation

• Removing built-in tokens
• Modifying built-in tokens
• Overriding built-in tokens

Smart rounding settings

• A few words on Floating Point Math
• Why mXparser is based on the double data type?
• Smart rounding options available in mXparser
• Check which rounding settings are currently active
• Example - Only Canonical Rounding option is active
• Example - Only Unit In The Last Place Rounding option is active
• Example - Only Almost Integer Rounding option is active
• Example - None of the rounding options are active

Efficient calculations in the loops

• User expression in the loop + output
• User function in the loop + output
• User argument (dependent) in the loop + output
• User expression in the loop – Performance
• User function in the loop – Performance
• User argument (dependent) in the loop – Performance

Extensive list of settings

• Degrees / Radians Mode
• Attempt To Fix Expression String Mode
• Primes Cache
• Epsilon Comparison / Exact Comparison Mode
• Canonical Rounding Mode
• ULP (Unit In The Last Place) Rounding Mode
• Almost Integers Rounding Mode
• Implied Multiplication Mode
• Unicode Builtin Key Words Mode
• Verbose / Silent Mode
• Override Builtin Tokens Mode
• Modify Builtin Tokens Mode
• Remove Builtin Tokens Mode
• Current Calculation Cancellation
• Setting Console Prefix
• Reaching Console Output String
• Maximum Allowed Recursion Depth
• Double to Fraction Conversion
• Random Generator Selection
• Maximum Threads Number
• Default Settings

Serialization & Deserialization

• SerializationUtils class
• Binary serialization SECURITY WARNING
• Enabling / Disabling binary serialization
• Expression serialization / deserialization from / to byte[]
• Expression serialization / deserialization from / to String
• Expression serialization / deserialization from / to File
• Serialization / Deserialization of complex objects

>>> Click to learn from examples <<<

Math Collection

mXparser provides a rich collection of built-in math functions, math expressions, and math symbols. Familiarize yourself with the scope and the syntax. Math collection internal help is also available directly from the software – see the tutorial and the API documentation for all the details.

- Operators

- Binary Relations

- Boolean Operators

- Bitwise Operators

- Unary Functions

- Binary Functions

- 3-args Functions

- Variadic Functions

- Random Variables

- Iterated Operators

- Calculus Operators

- Mathematical Constants

- Physical Constants

- Astronomical Constants

- Metric prefixes

- Units

- Parser Symbols

- Number formats

API documentation

API documentation

Customer First, Value Next: The Executive Playbook for AI-Driven Omnichannel Personalization and Customer-Centric Growth (a book by Mariusz Gromada)

✖ STOP running campaigns. ✅ START scaling empathy.

We are facing the Scalability GAP: Data volumes and customer contexts are growing exponentially, while your teams can only expand linearly. In this environment, the traditional approach of “campaign madness” – overwhelming customers with disconnected offers – is not just inefficient; it erodes trust and burns budget.

To succeed today, you don't need a better marketing calendar. You need a Personalization Factory.

Customer First, Value Next is the executive playbook for creating an AI-driven organization that shifts from “pushing” products to “serving” needs. This is not a theoretical treatise. It’s a proven strategy for leaders who recognize that in the era of AI, the most significant competitive advantage is maintaining humanity at scale.

Inside this playbook, you will discover how to:

• ⛔ End “Campaign Madness”: Replace disconnected offers with an always-on, intelligent conversation strategy tailored to the individual.
• ⚙️ Build the Personalization Factory: Implement the AI by Design & Real-Time by Design architectures (Senses, Brain, Voice).
• 🧠 Master the CI-RM Framework: Deploy 16 practical analytical tactics – including Next Best Action (NBA) strategies and Incremental Uplift Modeling – to - drive true, measured customer-centric growth.
• 📈 Measure What Matters: Shift from vanity metrics to Incremental ROI, Uplift, and Customer Lifetime Value (CLV).
• 🤝 Scale Empathy: Use technology not to replace humans, but to augment their ability to serve millions of customers personally.

Who This Book Is For

This transformation requires more than just a CCO. It demands an Executive Team that understands value and risk, aligned with a Data & Tech team capable of building the foundation. This book offers dedicated paths for:

🚀 The Executive Team (CEO, CCO, CMO, CFO)

Understand the vision, the risks, and the Return on Investment. Learn how to measure real value, make the business case, and defend the transformation to the CFO by connecting "trust" directly to the P&L.

📈 Growth & CRM Leaders (Head of CRM, Digital, Marketing)

Translate strategy into operations. Move from "send" to "serve" by constructing the Value Map and deploying practical tactics that choose the best offer for every customer context.

💻 Data & Technology Leaders (CTO, CIO, Head of Data)

Build technology within the context of business strategy. Discover fundamental design principles (AI by Design) and architecture plans that automate Data Science without killing your analytics team.

📣 “Technology isn’t just an automation tool. It’s a megaphone for empathy. Put the Customer First. Value comes next.”

See more

• Book on CustomerFirst.tech
• Book on goodreads.com
• Book on Amazon US
• Book on Amazon UK
• Book on Amazon DE
• Book on Amazon FR
• Book on Amazon ES
• Book on Amazon IT
• Book on Amazon NL
• Book on Amazon PL
• Book on Amazon SE
• Book on Amazon BE
• Book on Amazon IE
• Book on Amazon JP
• Book on Amazon CA
• Book on Amazon AU

Did you find the software useful?

• please consider donation
• purchase the commercial license from here or from here

Android App that is powered by MathParser.org-mXparser

• Scalar Scientific Calculator
• Scalar Lite
• Scalar Pro

Other websites

• MathParser.org
• Tutorial
• API documentation
• Blog on math