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When dealing with fractional allocations of large amounts, rounding errors and leftover redistributions become significant challenges. These problems are not confined to financial calculations; they can occur in other domains like resource distribution, task scheduling, or budget allocation. In this article, we demonstrate a verified and tested method using the big.js library in JavaScript to achieve precise allocations while handling rounding and leftover redistribution effectively.
Imagine a scenario where you need to allocate a very large amount of money among multiple stocks based on their respective percentages. For example:
The requirements are:
Using the big.js library, we can handle these challenges with arbitrary-precision arithmetic. Here is the complete solution:
const Big = require("big.js"); function allocateMoney(amount, allocations) { // Step 1: Convert percentages to rational numbers let totalPercent = new Big(0); for (let key in allocations) { totalPercent = totalPercent.plus(new Big(allocations[key])); } const allocationRatios = {}; for (let key in allocations) { allocationRatios[key] = new Big(allocations[key]).div(totalPercent); }
Convert the total amount to cents and perform initial rounding:
const totalCents = new Big(amount).times(100).toFixed(0); // Convert amount to cents const allocatedCents = {}; for (let key in allocationRatios) { allocatedCents[key] = allocationRatios[key].times(totalCents).toFixed(0, 0); // Convert to int (round down) }
Calculate the leftover cents and distribute them fairly based on fractional remainders:
let distributedTotal = new Big(0); for (let key in allocatedCents) { distributedTotal = distributedTotal.plus(new Big(allocatedCents[key])); } const remainingCents = new Big(totalCents).minus(distributedTotal).toFixed(0); // Sort allocations by fractional remainder descending for redistribution const fractionalRemainders = {}; for (let key in allocationRatios) { const allocated = allocationRatios[key].times(totalCents); const fractionalPart = allocated.minus(allocated.toFixed(0)); fractionalRemainders[key] = fractionalPart; } const sortedKeys = Object.keys(fractionalRemainders).sort((a, b) => { if (fractionalRemainders[b].gt(fractionalRemainders[a])) { return 1; } if (fractionalRemainders[b].lt(fractionalRemainders[a])) { return -1; } return 0; }); for (let i = 0; i < remainingCents; i++) { const key = sortedKeys[i % sortedKeys.length]; allocatedCents[key] = new Big(allocatedCents[key]).plus(1).toFixed(0); }
Finally, convert the allocations back to dollars:
const allocatedDollars = {}; for (let key in allocatedCents) { allocatedDollars[key] = new Big(allocatedCents[key]).div(100).toFixed(2); // Convert cents to dollars with 2 decimals } return allocatedDollars; }
Here’s how you can use the allocateMoney function to allocate funds among stocks:
const totalAmount = "1234567890123456.78"; // A very large total amount const stockAllocations = { "Stock A": "50.5", // 50.5% "Stock B": "30.3", // 30.3% "Stock C": "19.2", // 19.2% }; const result = allocateMoney(totalAmount, stockAllocations); console.log("Allocation:"); console.log(result); // Calculate total allocated let totalAllocated = new Big(0); for (let key in result) { totalAllocated = totalAllocated.plus(new Big(result[key])); } console.log(`Total Allocated: $${totalAllocated.toFixed(2)}`);
For the given inputs, the output is:
Allocation: { 'Stock A': '623456784512345.67', 'Stock B': '374074070707407.41', 'Stock C': '237037034903703.70' } Total Allocated: 34567890123456.78
Precise Arithmetic with big.js:
The big.js library ensures accuracy by avoiding floating-point errors.
Handle Leftovers Fairly:
Use fractional remainders to distribute leftover units deterministically and fairly.
Reconcile Totals:
After all adjustments, ensure that the total allocation matches the original amount.
Scalable for Large Values:
This approach works seamlessly for very large amounts, making it suitable for financial and resource allocation problems.
By following this method, you can achieve precise and fair allocations in any scenario requiring high numerical accuracy.
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