Matrix Reshape
Rearrange a matrix's values into a new shape reading them in row-major order.
Description
Rearrange a matrix's values into a new shape reading them in row-major order.
Matrix Reshape is a focused tool for the following task. Rearrange a matrix's values into a new shape reading them in row-major order. It reports Reshaped matrix from the values you provide rather than inventing measurements, coefficients, or professional judgment that are not part of the input.
When to use Matrix Reshape
Use this mathematical tool to inspect or reproduce the stated operation with inputs that satisfy its dimensional and domain requirements.
- Matrix
- Required list. Non-empty source matrix.
- Rows
- Required integer. Row count of the reshaped matrix.
- Columns
- Required integer. Column count of the reshaped matrix.
The cited overview of Matrix (mathematics) supplies background for the terminology and domain context used by this tool.1
How Matrix Reshape works
Rearrange a matrix's values into a new shape reading them in row-major order. Inputs are interpreted exactly in the displayed units and the calculation returns the following fields without presentation rounding.
- Reshaped matrix
- Returned list. Matrix with the requested shape holding the same values in row-major order.
Limitations and assumptions
- Floating-point rounding, ill-conditioned inputs, singular cases, tolerance choices, and rapidly growing output sets can affect numerical accuracy or feasibility.
- Rows must be at least 1.
- Columns must be at least 1.
- Use finite inputs in the displayed units, preserve source measurements and assumptions, and independently verify consequential decisions.
Alternative or Complementary approaches
Check the result analytically on a small case and use an established numerical or symbolic library with suitable precision and diagnostics for consequential work.
References
-
Matrix (mathematics) — Wikipedia contributors
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