CalculusEx is a specialized mathematical software for desktop designed for mathematical modeling and decision-making through Linear Programming and Compromise Programming methods. It facilitates the resolution of complex multi-objective problems by identifying the optimal balance between group utility and individual regret.
CalculusEx was born from an intellectual gauntlet.
During his college years, while Igor was already balancing freelance development and teaching programming to fellow students, he was presented with a challenge by his professor: to develop a functional solver for complex equations using the Linear Programming method.
The task was notorious; the professor revealed that in the five years since he had introduced the challenge, no student had been able to successfully solve it. Igor didn't just solve the mathematical core, he transformed the challenge into a showcase of extreme engineering. The original requirement was modest: a functional Linear Programming solver, which could have been delivered as a simple terminal application. However, Igor chose to elevate the challenge into a full desktop suite featuring custom binary formats, a bespoke GDI-rendered UI, and deep system-level optimizations. Many of these elements were entirely new to him, tackled for the first time within this project, all while keeping up with classes and exams. The result was a definitive success: Igor was awarded a 10 (A), receiving high praise from the professor for a solution that had eluded his predecessors for half a decade.
Time constraint: 1 week.
-
📂 custom data format support - import and export proprietary
.cxfbinary tables, plus file drag‑and‑drop and command‑line file open -
🌐 multi‑format export - save grids as
HTML(styled) or asJPG/PNG/BMPimages, with embedded icons inHTML -
📊 dynamic grid management - generate grids from user‑defined criteria/alternatives, auto‑label entries, adjust dimensions, format numbers, and store layout/appearance preferences
-
🎲 data entry utilities - populate with random values within set bounds, clear contents with confirmation, restrict invalid input
-
🛠️ structural editing - add, delete, or reorder criteria and alternatives, highlight selections, and custom‑render grid cells for headers/states
-
📈 analytical computation - perform compromise programming analysis, calculate weighted/maximum/sum deviations, and present results in detailed, list, or ranking views
-
🖥️ user interaction enhancements - search grid via Find dialog, toggle fullscreen, adjust font size persistently, and show context‑aware menus
-
💾 session persistence - save fonts, colors, fill ranges, and formatting in the windows registry for auto‑restoration
-
🧰 utility functions - capture grid as an image, open app website, show about dialog, restart app from menu, and handle errors gracefully
-
⚙️ highly-customizable - configure colors, fonts, numeric format, fill range, and sound preferences, with options to import/export
.cxcconfiguration files, reset to defaults, and save all changes to the registry
CalculusEx implements a robust mathematical engine based on Linear Optimization (LP) and Compromise Programming. The software is engineered to process
-
$S_{n}$ (Group Utility): the sum of weighted distances from the ideal solution -
$R_{n}$ (Individual Regret): the maximum individual weighted distance -
$S_{p}$ (Compromise Ranking): a final synthesized score used to rank alternatives in order of mathematical preference
- proprietary binary engine: high-speed I/O via
.cxfbinary table format for data integrity - cross-platform reporting: generates styled
HTML5reports with embedded visual assets for browser-based review - visual documentation: built-in hardware-accelerated capture for exporting data grids as
PNG,JPG, orBMPimages CLIintegration: support for command-line arguments and native Windows drag-and-drop for automated file handling
- input sanitization: real-time, character-level validation prevents the entry of mathematically invalid strings and ensures data consistency before calculation
- computational stability: implements hardware-level floating-point exception handling to maintain application uptime during complex singularities or divisions by zero
- analytical search: context-aware search engine that maps mathematical keys directly to the visual data coordinate system
- resource-light execution: optimized via stripped
Portable Executable(PE) headers to ensure a minimal memory footprint and high-speed execution on legacy and modern Windows systems - persistence & configuration: full session state recovery via Windows
Registryintegration and.cxcconfiguration export for standardized environment deployment - adaptive interface: dynamic UI engine that automatically scales layout and grid dimensions based on text-metric analysis and user-defined numeric formatting
Environment: Win32 (Native, Windows 7)
Development Platform: Delphi / Object Pascal
Output Formats: custom binary file (.cxf), custom config file (.cxc), Web (HTML), raster graphics (PNG, JPG, BMP)
Optimization Strategy: direct Win32 API calls and GDI rendering for maximum performance and low-latency UI response.
📑 The changelog is available here, CHANGELOG.md.
Licensed under the GPLv3 license.
Consider buying me a coffee. ☕
Thank you for supporting my efforts! 🙏😊
🥽 Provides ways of parsing UNC paths and checking whether they are valid. 🎱
@igorskyflyer/registry-apppaths
🪀 A Node.js module for reading the AppPaths registry key on Windows. Useful for retrieving applications that can be launched from the command prompt. 🗃
🐯 A utility that lets you manipulate HTML elements, their attributes and innerHTML as strings, on the go and then render the modified HTML. Very useful in SSG projects. 💤
🧬 A lightweight JavaScript utility allowing deep copy-by-value of nested objects, arrays and arrays of objects. 🪁
🧮 Calculates an estimated file size of Mp3 files. 🎶
Created by Igor Dimitrijević (@igorskyflyer).
