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无直接赋值时用算术运算符复制2字节定点变量的最优方法

Optimal Variable Copy for Fixed-Point Values (No Direct Assignment)

Alright, let's break down how to solve this efficiently—since we don't have a direct varDst = varSrc function, we need to get creative with the allowed operators. First, a quick sanity check: you mentioned a 2-byte variable, but the maximum value (2147483.647) points to a 32-bit fixed-point format (like Q24.8 or Q31.3, since 2^31-1 is 2147483647, scaled down). That’s probably a typo, but the approach below works regardless of the exact bit width—just adjust the initial step size to match your variable’s maximum value.

Core Problem & Constraints

We need to copy the value of varSrc (source) to varDst (destination) using only these operators:

  • add(<variable>, <constant>): Adds a constant to a variable
  • subtract(<variable>, <constant>): Subtracts a constant from a variable
  • multiply(<variable>, <constant>): Multiplies a variable by a constant
  • divide(<variable>, <constant>): Divides a variable by a constant
  • check(<variable1>, <op>, <variable2/constant>): Compares two values (supports >, <, >=, <=, ==)

The naive approach (looping add(varDst, smallest_precision) until it matches varSrc) would take millions of steps for large values—total overkill. Instead, we’ll use a binary search-style incremental method that converges in ~30 steps (log2(2147483.647 / 0.001) ≈ 31), which is exponentially faster.

Step-by-Step Optimal Implementation

You’ll need one temporary variable to track our step size (let’s call it varStep):

  1. Initialize Variables

    • Reset varDst to 0: multiply(varDst, 0) (this works no matter what its initial value was)
    • Set varStep to the maximum possible value of your variable:
      multiply(varStep, 0)
      add(varStep, 2147483.647)
      
      (Or use multiply(varStep, <max_constant>) if you have a pre-defined constant for the maximum value.)
  2. Binary Incremental Loop
    Repeat these steps until varStep is smaller than your fixed-point format’s smallest precision (e.g., 0.001 for your max value):

    • Tentatively add the current step to varDst: add(varDst, varStep)
    • Check if we’ve exceeded the source value: check(varDst, >, varSrc)
    • If we did exceed varSrc, undo the addition: subtract(varDst, varStep)
    • Halve the step size for the next iteration: divide(varStep, 2)
  3. Final Precision Adjustment (Optional)
    After the loop, run a quick check(varDst, !=, varSrc) to handle any tiny precision gaps. If there’s a mismatch, add/subtract the smallest precision constant (e.g., 0.001) to varDst until it matches.

Why This Is the Best Approach

  • Minimal operations: We only need ~30 iterations to cover the entire value range, compared to millions for a linear loop.
  • Universal compatibility: Works for any value of varSrc (0, max, or anything in between) and converges to the exact fixed-point representation.
  • Stays within constraints: Every step uses only the operators you listed—no workarounds outside your toolset.

Quick Example Walkthrough

Let’s say varSrc = 10.0:

  • Start with varDst = 0, varStep = 2147483.647
  • Add step to varDst (now 2147483.647), check if >10 → yes, subtract back to 0. Halve step to ~1073741.823
  • Repeat until varStep becomes 8.0: add to varDst (now 8.0), check <=10 → yes, keep it. Halve step to 4.0
  • Add 4.0 → varDst=12.0, check >10 → yes, subtract back to 8.0. Halve step to 2.0
  • Add 2.0 → varDst=10.0, check <=10 → yes, keep it. Halve step and continue until step is smaller than 0.001. Done!

内容的提问来源于stack exchange,提问作者Thomas Boby

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最近更新时间:2026.05.20 09:19:43