mutable state

USAGE SUMMARY

The phrase "mutable state" is correct and usable in written English.
It is typically used in programming and computer science to refer to a state that can be changed or modified after it has been created. Example: "In functional programming, it is often recommended to avoid mutable state to prevent unintended side effects."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

10 human-written examples

However, we found that CDK's parser is not referentially transparent and operates on mutable state internally.

Journal of Cheminformatics

A referentially transparent function may not access or alter mutable state, nor may it perform any other form of side-effects.

Journal of Cheminformatics

Mutable state can be hard to reason about when several seemingly unrelated parts of a program access and possibly modify the same piece of shared data.

Journal of Cheminformatics

All its methods return functions, while in an imperative implementation using mutable state their return type would be Unit (similar to void in Java).

Journal of Cheminformatics

To support optimizations in classic imperative style, we built a control-flow graph using mutable pointers and other mutable state in the nodes.

Electronic Notes in Theoretical Computer Science

We present a realizability model for reasoning about contextual equivalence of higher-order programs with impredicative polymorphism, recursive types, and higher-order mutable state.

The Journal of Logic and Algebraic Programming

Human-verified similar examples from authoritative sources

Similar Expressions

50 human-written examples

EMA allows for a more accurate assessment of these mutable states and may be particularly relevant in ESKD where complex treatments are likely to represent physiologic and psychological stressors.

BMC Nephrology

In poems obsessed with identity, yearning and intimacy, the power of Fulton's verbal pyrotechnics is that they precisely animate these mutable, ever-changing states.

The New York Times - Books

A "puckered honeycomb" of oxygen and hydrogen atoms, it is highly mutable in different states because the length of the hydrogen bonds in its molecules varies.

The Guardian - Books

Because Mr. Weiner's words are mutable, appearing in one state and then another, they are not only continually remade but also renewed.

The New York Times - Arts

S P is the set of states that P reach given its mutable elements; s0∈S is the initial state where P currently stands given UR and PR; I P is the input domain where I P ={ rq,up,r)} for all rq∈I, u∈{U∪Pr} and r∈R}; O is the output domain formed by granted and denied; D=S P ×I P is the specification domain; δ P :D→S P is the state transition function; and.

Journal of Software Engineering Research and Development

Expert writing Tips

Best practice

In functional programming, aim to minimize or eliminate "mutable state" to improve predictability and reduce side effects.

Common error

Failing to recognize that a state is "mutable" can lead to unexpected behavior if other parts of the program modify it unexpectedly. Always document which parts of the code can alter the "mutable state".

Linguistic Context

The phrase "mutable state" functions primarily as a noun phrase, often serving as the subject or object of a sentence. It describes a condition or configuration that can be altered, a core concept in fields like computer science. Ludwig AI shows numerous examples from academic and technical sources.

Expression frequency: Uncommon

Frequent in

Science

60%

News & Media

20%

Encyclopedias

10%

Less common in

Formal & Business

5%

Reference

3%

Wiki

2%

Ludwig's WRAP-UP

The phrase "mutable state" refers to a condition that can be changed after it has been created. As Ludwig AI confirms, it is grammatically correct and most commonly used in scientific and technical contexts, particularly in computer science. While its frequency is uncommon, understanding "mutable state" is crucial for discussions about programming paradigms, concurrent processing, and data management. When writing about these topics, it's essential to be precise about how "mutable state" is handled to avoid ambiguity and ensure code reliability. For clarity, consider alternative phrases like "changeable condition" or "variable status".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

variable status

This phrase replaces "mutable" with "variable" and "state" with "status", focusing on the fluctuating nature.

changeable condition

This alternative replaces "state" with "condition", emphasizing the changeable nature.

alterable form

Focuses on the capacity of the state to be changed in its shape or structure.

modifiable situation

This alternative uses "situation" instead of "state", highlighting the possibility of modification.

transient mode

This highlights the temporary nature of the state.

dynamic configuration

This emphasizes the active and changing arrangement, rather than a static situation.

fluid setting

Implies a state that is not fixed and can easily change.

unstable circumstance

This alternative highlights the lack of stability in the state.

evolving scenario

Uses "evolving" to emphasize the ongoing development and change.

shifting environment

This phrase describes a changing context rather than just a single state.

FAQs

How is "mutable state" used in programming?

In programming, "mutable state" refers to data that can be changed after it's created. It's a fundamental concept, especially when discussing object-oriented and imperative programming paradigms, but it must be carefully managed to avoid unintended side effects.

What's the opposite of "mutable state"?

The opposite of "mutable state" is immutable state. Immutable data cannot be changed after creation, which is a core principle in functional programming, promoting predictability and reducing bugs. See also: "immutable data".

How does "mutable state" affect parallel processing?

Using "mutable state" in parallel processing can lead to race conditions and unpredictable results. Proper synchronization mechanisms, like locks, or using immutable data structures, are essential to manage shared "mutable state" correctly.

What are some alternatives to using "mutable state"?

Instead of relying on "mutable state", consider using immutable data structures, pure functions (functions without side effects), and state management techniques like reducers or state monads. These approaches promote predictable and testable code. Consider using also: "immutable data structures".