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Multivariable Directional Derivative Contribution Tool

Compute multivariable directional derivative contribution from explicit bounded inputs.

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Description

Return coordinate contributions to a unit-direction derivative.

Differential-calculus formulas relate supplied local values and derivatives under explicit coordinate and unit conventions. A tangent term, curvature expression or directional derivative assumes the required differentiability and regularity; substituting numerical derivatives does not verify those hypotheses for an actual function.

Return coordinate contributions to a unit-direction derivative.

When to use this tool

Use Multivariable Directional Derivative Contribution when evaluating the stated local differential-calculus identity from supplied values.

How to use the tool and how it works

  1. Enter gradient, direction. Follow any array-alignment requirements below. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read contributions, derivative. Use the output convention below.

Return coordinate contributions to a unit-direction derivative. Require aligned gradient/direction arrays with dot(direction,direction) within 1e-12 of one; contributions = gradient_i*direction_i, derivative sums them.1

Input fieldMeaning and unitsAccepted input
gradientGradientRequired. Array of finite number; maximum items 256.
directionDirectionRequired. Array of finite number; maximum items 256.
Output fieldInterpretationReturned shape
contributionsContributionsRequired. Array of finite number; maximum items 256.
derivativeDerivativeRequired. Finite number.
json
{
  "input": {
    "gradient": [
      2,
      3
    ],
    "direction": [
      1,
      0
    ]
  },
  "output": {
    "contributions": [
      2,
      0
    ],
    "derivative": 2
  }
}

Limitations and assumptions

  • The gradient and direction are supplied; no function, differentiability or physically compatible coordinate scaling is verified.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.

Alternative or Complementary methods

Differentiate or validate the complete function and its domain first; use suitable symbolic or numerical methods and check regularity and coordinate conventions for the intended interpretation.

References

  1. Calculation and input contract: calculus/multivariable-directional-derivative-contribution — tool.io

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