Petr Ivankov, Shestov Max · 2026 · arXiv (Cornell University)
DOI: 10.48550/arxiv.2610.24492 · cited by 0 works (OpenAlex) · open-access PDF
Os modelos computacionais desenvolvidos em .NET muitas vezes precisam ser executados localmente dentro de aplicações web. Nós apresentamos Backend--Frontend Converter, uma arquitetura para gerar implementações de TypeScript de modelos baseados em componentes. O conversor mapeia componentes, conexões, aliases e árvores de fórmula para código TypeScript específico de modelo. Bibliotecas de execução reutilizáveis fornecem integração numérica, acesso a dados e manuseio de estado. Nós avaliamos implementações armazenadas geradas através de quatro cenários orbitais e uma comparação de estratégia de negociação gravada. Os cálculos orbitais são executados em um navegador e são emparelhados com os resultados de C\# por cruzamento de eventos e timestamp; as saídas de negociação são alinhadas por data. Testes
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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