Catatan: Terjemahan untuk entri ini sedang dalam peninjauan kualitas, sehingga sebagian konten untuk sementara hanya ditampilkan dalam bahasa Inggris.
Entri ini belum diterjemahkan ke bahasa Anda, sehingga versi aslinya ditampilkan di bawah.
linearize
This term is used almost exclusively in technical, academic, or professional contexts. It is rarely found in casual conversation. The word carries a strong connotation of simplification for the sake of efficiency or solvability.
In mathematics and engineering, the term refers to the process of simplifying a complex, curved relationship into a straight line. This is typically done to make a system easier to analyze or to apply linear control theories. It implies a trade-off where some precision is sacrificed for the sake of mathematical tractability.
In computer science and data management, the term describes the process of flattening a complex structure—such as a tree, a graph, or a multi-dimensional array—into a one-dimensional sequence. This is often a prerequisite for storing data in memory or transmitting it over a network, similar to the concept of serialization.
Meanings
Examples
We need to linearize the equation to make it easier to solve.
The software will linearize the tree structure for storage.
Can you linearize this non-linear model for the simulation?
I wonder if I can linearize the data to find a clear trend.
The algorithm must linearize the graph before processing.
Linearizing the system allows us to use standard control theory.
It is necessary to linearize the input sequence for the neural network.
Let us linearize the function around the equilibrium point.