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accounting

double-entry accounting software

QuickBooks

SystemTechniques · 7Primitives · 36 accounting Optical character recognition (text…machine-learning · medium: Find text lines in an image, read each crop with a CTC or attention model, then correct with a lexicon and score confidence for review routing.›Tamper-evident audit logsecurity · medium: An append-only log whose Merkle root, signed per batch, lets anyone verify an entry is present and history was never rewritten, with log-size proofs.›Bitemporal datastorage · medium: Valid time plus transaction time on every record for as-of queries, back-dating and correctionsIncremental view maintenancestorage · medium: Update materialized views from deltas instead of recomputingChange data capturestorage · medium: Decode the database's own commit log into row-change events in commit order, with a resume position, so any consumer can mirror the data exactly.›MVCCstorage · medium: Keep timestamped versions of each row so readers see a consistent snapshot without blocking writers; the default concurrency control in modern databases.›Incremental sync cursorsdistributed · medium: The client keeps one opaque token; each pull returns only the changes after it plus the next token, so sync cost scales with what changed, not with the dataset.›Currency cross rate triangulationfinance · low: Deriving cross rates through a base currency with correct precision, inversion and spreadsDouble-entry ledgerfinance · low: Append-only journal of transactions whose postings sum to zero per currency; balances are derived, so money can only move, never appear or vanish.›Event sourcingfinance · low: Persist state changes as an append-only stream of immutable events per entity; current state is a fold over them, guarded by expected-version appends.›Idempotency keysfinance · low: Client-chosen unique key per logical operation, stored with a request fingerprint and the final response, so retries replay the first result instead of acting twice.›Largest remainder roundingfinance · low: Splitting an amount into parts that sum exactly (largest remainder / Hamilton) for allocations, splits and prorationsMoney representationfinance · low: Store money as integer minor units with an explicit currency exponent, compute in wider integers, and round once with a named rounding mode.›Reconciliationfinance · low: Match internal ledger records against bank and processor statements by reference, then amount and date window; every unmatched or mismatched item becomes an exception.›Naive Bayes classifiermachine-learning · low: Count how often each feature occurs per class and score a new item by summed log-likelihoods; trains in one pass, updates and merges by adding counts.›Closure tablestorage · low: Storing trees and hierarchies in relational tables (closure table, materialized path) for fast subtree queriesGapless sequence numbersstorage · low: Gap-free, monotonic numbering (invoices, journal entries) under concurrency and rollbacksOptimistic concurrency controlstorage · low: Run transactions without locks, record what they read, and validate at commit that nothing changed; fastest when conflicts are rare.›Connectionist temporal classificati…machine-learning · low: Alignment-free sequence loss that sums the probability of every frame-to-label alignment with a blank symbol, using a dynamic program.›Document image preprocessingmachine-learning · low: Turn a scan or phone photo into an upright, evenly lit, binarised or normalised grey page so layout analysis and OCR read it reliably.›Convolutional networksml-training · low: Layers that slide a small shared kernel over a grid, giving translation equivariance and few parameters; still the most compute-efficient choice for many vision tasks.›Transformer blockml-training · low: The decoder-only pre-norm block (attention plus MLP on a residual stream) behind every modern LLM, with exact shapes, parameter, FLOP and KV-cache counts.›Merkle treedata-structures · low: Hash tree for verifying and diffing large datasets with logarithmic proofs+ 20 more primitives

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