Petr Ivankov, Shestov Max · 2026 · arXiv (Cornell University)
DOI: 10.48550/arxiv.2610.24492 · cited by 0 works (OpenAlex) · open-access PDF
.NET में विकसित कंप्यूटिंग मॉडल को अक्सर वेब अनुप्रयोगों के भीतर स्थानीय रूप से चलाने की आवश्यकता होती है। हम Backend--Frontend Converter, घटक-आधारित मॉडल के TypeScript कार्यान्वयनों को उत्पन्न करने के लिए एक आर्किटेक्चर प्रस्तुत करते हैं। कनवर्टर घटकों, कनेक्शनों, एलियसों और फार्मूला पेड़ों को मॉडल-विशिष्ट TypeScript कोड में चलाता है। पुन: उपयोग योग्य चलने समय पुस्तकालयों को संख्यात्मक एकीकरण, डेटा पहुंच और राज्य प्रबंधन प्रदान करते हैं। हम चार ऑर्बिटल परिदृश्यों और एक रिकॉर्ड ट्रेडिंग-स्ट्राइजी तुलना के माध्यम से संग्रहीत बनाए गए कार्यान्वयनों का मूल्यांकन करते हैं। ऑर्बिट
Machine translation (Meta M2M100); the English original follows.
Computational models developed in .NET often need to run locally within web applications. We present Backend--Frontend Converter, an architecture for generating TypeScript implementations of component-based models. The converter maps components, connections, aliases, and formula trees to model-specific TypeScript code. Reusable runtime libraries provide numerical integration, data access, and state handling. We evaluate stored generated implementations through four orbital scenarios and a recorded trading-strategy comparison. Orbital calculations execute in a browser and are paired with C\# results by crossing event and timestamp; trading outputs are aligned by date. Analytic scheduler tests and deliberately perturbed outputs assess the validation procedure. Each orbital scenario produces 91 paired events with identical timestamps. Position and velocity differences remain below $(10^{-6}\)~km$ and $(10^{-9}\)~km/s$. All 20 analytic scheduler checks pass, and the comparator detects each of three prescribed state and time perturbations. The trading comparison contains 501 aligned daily records with matching indicator values, positions, and order events. The evaluated implementations preserve the compared outputs across the C#/TypeScript boundary. Component-specific generation and reusable execution libraries provide a practical route from supported .NET computational models to TypeScript applications.
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Topics: TypeScript, Computer science, Matching (statistics), Implementation, State (computer science), Programming language
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